Model-agnostic
Anthropic, OpenAI, Google, or local. Choose the best model per workflow; rewrite nothing when the model changes.
Tool-agnostic
MCP, REST API, databases, SAP, Jira. Integrates with every system you use — you can even add your own tool.
Drag-and-drop design
Design agents and approval steps without being a developer. Business unit leaders set up the process themselves.
Governance & enterprise scale
Human approval, audit, RBAC, cost limits. On-prem or cloud. Compliance from day one.
A separate tool for every department. A model that becomes obsolete every year.
Each business unit is tied to a different vendor and a single model that will become obsolete after six months. Tools don’t talk to each other; people still fill the gap between them manually.
- Increasing license costs
- Inconsistent and unsupervised management
- Projects starting from scratch every time
- Bottleneck accumulating in IT
How It Works
Cortex spans the entire platform — end-to-end agentic workflows from trigger to integration
Human
A user or administrator starts the workflow.
System Event
Webhook, queue, or event-driven trigger.
Scheduler
Cron or periodic task trigger.
Workspace
Agent runtime environment — task context, file access, and workspace management.
Workflow
Multi-step flows and approval steps via drag-and-drop designer.
Knowledge
Enterprise context layer — code, Jira, and Confluence indexing, semantic search.
Agent
Task-specific AI agent reasoning via ReAct loop.
LLM Models
Multi-model routing by task; cost-performance balance.
Human Approval
Human approval at critical steps — the flow never proceeds unapproved.
Governance
RBAC, cost limits, and full audit trail — every action passes the policy filter.
SAP
Enterprise ERP integration.
LDAP/AD
Identity and directory service integration.
REST API
External services and microservice connections.
Database
Relational and NoSQL data sources.
- 1Trigger
- 2Plan
- 3Approve
- 4Execute
- 5Audit
Six layers. One management panel.
Workflow Designer
Drag-and-drop visual design canvas.
Agents
Reasoning, task-based models with memory.
Knowledge (Intelligence)
Knowledge layer that indexes enterprise context and delivers it to agents — code, Jira, and Confluence indexing, incremental indexing, semantic search, vector collections; separate tracking of embedding tokens and cost.
Integrations
150+ ready-to-use tools, ERP, CRM, DevOps, custom REST/MCP.
Governance
Centralized approval, audit, and cost control.
Runtime
Auto-scaling Kubernetes-native; cloud or on-prem.
Runtime:Kubernetes-native · cloud or on-prem
Integration:150+ ready tools · ERP · CRM · DevOps
Monitoring:Single-panel visibility in seconds
Everything is monitored from a single panel. See what’s happening in a workflow within seconds.
15 Active Agents — Ready and Custom
15 active agents across SDLC, DevOps, infrastructure, and documentation. Customer-specific agents can be added to the same library.
Brainstorm
Ideation and brainstorming for creative problem solving.
Code Indexer
Indexes the code repository into a vector database.
Coder Agent
Complex reasoning and deep analysis.
Code Reviewer
Comprehensive code review and security analysis.
DevOps Agent
DevOps and release operations.
Doc Generator
API and code documentation generation.
Gap Analyzer
Analyzes documentation gaps.
KKD Agent
Excel ticket parsing and scoring.
Spec Critic
Analyzes specification documents.
SRE Agent
Kubernetes operations and SRE assistant.
Test Bot
Automated test scenario generation.
Unit Test Agent
Unit test generation.
Veeam Agent
Veeam Backup & Replication operations.
Veeam Indexer
Veeam infrastructure indexing.
VMware Agent
VMware vSphere infrastructure management.
One engine. Countless workflows.
SDLC
Software Development Life Cycle
01Jira Ticket
02Brainstorm
03Planner
04Developer
05Code Review
06Human Approval
07QA
08Deploy
ROI
Software team focusing on high-value-added work
IT OPS
DevOps & Operation Monitoring
01Monitoring MCP
02LLM Analyst
03Report Generator
04Human Approval
05Slack/Jira
ROI
Not raw logs, but a management summary ready for the morning meeting.
HR
Automated Interview Candidate Screening
01CV Parser
02Call Bot
03AI Scoring
04Shortlist
05HR Review
ROI
From hundreds of CVs, the top 10 candidates in minutes.
Documentation
Knowledge & Document Automation
01Knowledge Index
02Gap Analyzer
03Doc Generator
04Spec Critic
05Human Approval
ROI
Automatic gap detection, content generation, and approval for documentation.
Infrastructure Ops
Veeam · VMware · SRE
01Infra Indexer
02SRE / Veeam / VMware Agent
03DevOps Agent
04Human Approval
05Operations
ROI
Infrastructure operations automation with human oversight.
.NET Core 3.1 → .NET 10: Enterprise monorepo upgrade
Comparing senior developer effort vs. Coder Agent results on a 19-module HCM platform — 8–10 business days vs. 11 h 41 min
Corporate HCM platform for a leading e-commerce group in Turkey: 19-module monorepo on .NET Core 3.1 with multi-host and microservice architecture.
The platform needed upgrading to .NET 10, resolving enterprise-scale risks including package incompatibilities, Autofac DI patterns, EF Core model drift, and security vulnerabilities.
~8–10 business days
Senior developer — manual upgrade
An experienced developer carried out the .NET upgrade on the same codebase using traditional methods. Estimated time and cost were calculated against corporate team planning.
11 h 41 min
Cortex Coder Agent — end-to-end AI orchestration
The same upgrade was automated end-to-end with Cortex Coder Agent: 12 tasks, 14 commits, each task completed with its own verification step.
11 h 41 minActive time3 run windows
~$104Total cost
12 / 12Tasks completed
0Build errorsDebug + Release
28 passedTests1 skipped
8 / 8Publishhosts green
543 → 82Build warningsunique warnings
0Security findingsvulnerable packages cleared
Deliverables
- Task 0: Read-only baseline analysis and upgrade inventory
- Task 1: Pre-cleanup and .NET Core 3.1 → .NET 8 migration
- Task 2: .NET 8 → .NET 10, EF Core 10 and Docker update
- Task 3: CVE upgrades and security scan
- Task 4: DataEncryption compatibility and EF model smoke tests
- Task 5: RestSharp, Graph, Swashbuckle, Hangfire migration
- Task 6: Couchbase, Mongo, Minio and SDK pin update
- Task 7: CVE cleanup and dead project removal
- Task 8: Health check routing and middleware hardening
- Task 9: EF model drift closed, idempotent migration script
- Task 10: Build warnings reduced from 543 to 82
- Task 11: Autofac runtime blocker fixed, final verification report
Outcomes
- All projects migrated to net10.0 target framework
- Debug and Release builds completed with 0 errors
- 28 smoke tests passed, 8/8 host publish successful
- Vulnerable package count reduced to zero
- Full audit trail and documentation produced for tasks 0–11
System built successfully and is currently under QA validation. Pre-production steps such as HTTP smoke tests, DBA SQL dry-run, and secret rotation remain open.
The hardest problem for agents: Agentic Governance.
Putting agentic systems into production is not as easy as a demo; it lies in security and control mechanisms. Cortex solves them all from day one.
Full audit log
Retrospective traceability in decisions, data reading, and tool calls.
Cost protection
Budget limits per user and workflow, automatic overage stop.
Human Approval
Agent suggests in critical decisions, human approves — human-in-the-loop.
Role-based access (RBAC)
Who can access which agent and tool is managed from a single center.
Model independence
Change the model with one click at midnight in case of provider violation.
Data sovereignty
Your data stays in your infrastructure. On-prem deployment, EU and TR data localization compliance — ready for regulation.
Decision Matrix: Why Cortex?
| Classic RPA | Single-vendor AI (MS/Google) | Custom Build | Cortex | |
|---|---|---|---|---|
| Capacity | Fragile rules | Understands context | Understands context | Reasoning and context understanding |
| Independence | Limited | Vendor lock-in (locked) | Free | Completely independent of model and tool |
| Speed / Time-to-Market | Slow | Fast | Takes 6+ months | Day one (ready enterprise framework) |
| Governance | Weak | Dependent on ecosystem | Must be written from scratch | Built-in (audit, approval, RBAC) |
Cortex by BGTS
See your own workflow in Cortex.
In a 30-minute demo, let’s automate one of your currently fragmented processes — SDLC, IT operations, HR, or finance — by running it live in Cortex.
Schedule a demoWhat is MeetSense?
An intelligent platform that automatically joins your enterprise team meetings, records audio, generates transcripts, and maximizes their value with AI-powered analysis. Available as cloud and on-premise deployments.
Bring clarity to conversations — turn words into work.
Joins
Reads your calendar and automatically joins scheduled meetings.
Records
Safely backs up everything spoken with high-quality audio recording.
Transcribes
Turns speech into text with speaker diarization — who said what.
Analyzes
Detects decisions and action items with AI-powered analysis.
Meeting Lifecycle
Every step is managed automatically, from kickoff to completion — an end-to-end pipeline from calendar to work-tracking tools.
Calendar
Meetings are detected automatically via calendar integration.
Manual Trigger
One-click bot control — add the bot before or during a meeting.
Bot Joins
The virtual assistant joins the call via rule-based or manual triggers.
Audio Recording
High-quality audio and data capture becomes active.
AI Transcript
Audio is turned into text with an accuracy score and a full audit trail.
Analysis Engine
Decisions, action items, owners, and risks are extracted from the transcript.
Speaker Diarization
Each utterance is clearly attributed to its speaker.
Chatbot & Voice Assistant
Ask questions in natural language even mid-meeting; searches past data and the live transcript.
Jira
Automatic ticket creation and owner assignment.
Trello
Card creation and assignment with priority and due date.
Azure DevOps
Work item creation and automatic action detection.
Dashboard
Reports, weekly summaries, and organizational insights.
- 1Scheduled
- 2Bot Joins
- 3Recording
- 4Processing
- 5Completed
Smart features that go beyond record-keeping
Smart meeting management
Reads your calendar and joins by rule; never miss a meeting.
Attend without being there
One-click bot control; the attendance setting lets meetings be captured without you.
Speaker-level separation
Speaker diarization clearly separates who said what.
Segment-based playback
Click any line of the transcript and instantly hear the matching audio.
Accuracy score & full audit trail
Confidence-scored transcripts; who edited what and when — full change history.
Voice assistant
Ask questions by voice mid-meeting; past data and the live transcript are searched.
MeetSense Chatbot
Talk to your data in natural language; query a single meeting or a whole channel.
Analysis templates
Ready-made templates per meeting type (e.g. sprint, sales, interview, one-on-one); build your own with custom criteria so analysis outputs follow the same structure in every meeting.
Organizational insights
Weekly summaries, trend analysis, and risk detection — see the big picture.
Where does it create value?
01
Action tracking & work integration
Problem: Decisions made in meetings stay verbal; who does what by when is unclear.
Flow: AI extracts the action, its owner, priority, and due date from the transcript and turns it into a Jira/Trello ticket.
Outcome: Every decision automatically becomes an assigned work item.
02
In-meeting knowledge
Problem: "What did we decide about this last sprint?" slows the meeting down.
Flow: Ask the voice assistant; past data and the live transcript are searched, and the answer can be shared as a document.
Outcome: Instant analysis and historical context at hand, without interrupting the meeting.
03
Corporate memory
Problem: Meeting knowledge is scattered across personal notes; it leaves when people do.
Flow: The chatbot uses every completed meeting's transcript and AI analysis as its source; query by project or team.
Outcome: Meetings become searchable, permanent corporate memory.
04
Standardized analysis with templates
Problem: Every meeting is summarized differently; outputs cannot be compared and key topics get missed.
Flow: A template matching the meeting type is selected (sprint, sales, interview, etc.) or a new one is defined with custom criteria; AI produces the analysis with the same heading structure in every meeting.
Outcome: All meeting outputs become standard, comparable, and complete.
05
Management visibility
Problem: The big picture across many meetings — decisions, delays, trends — is invisible.
Flow: The dashboard shows meeting, decision, and action counts at a glance; risk analysis surfaces overdue actions and trend analysis surfaces hot topics.
Outcome: Team productivity is monitored from above; risks are caught early.
The value MeetSense delivers
Time SavingsNote-taking and report-writing time disappears
Secure ContentSensitive content reaches only authorized people
Action TrackingEvery decision is recorded, assigned, and followed up
Deep AnalysisRisks and open topics are detected automatically
Natural Language QueriesAsk instead of reading — get instant answers
Trends & PatternsSpot trends across multiple meetings
What is DOC-CONVERTER?
DOC-CONVERTER analyzes all scattered files uploaded to the system (PDF, DOCX, PPTX, etc.) with AI support and integrates them into your corporate template within seconds.
With DOC-CONVERTER, convert all your corporate documents — contracts, reports, and technical specifications — into a single, standard format aligned with your corporate identity.
One Standard
A comparable, legally compliant, and organized corporate data archive across the entire company.
Smart Efficiency
Redirect thousands of hours spent on manual document editing to strategic operations and growth.
Transparent Operations
A smooth, accelerated, and trackable workflow for managers and operations teams.
Different Formats, Manual Processes, Lost Hours
Word files, complex PDFs, non-standard technical reports... Manually editing disorganized corporate data to read it and make it compatible with company systems is the biggest time waste across all departments.
- Word, complex PDF, and non-standard technical reports
- Disorganized corporate data formats
- Manual reading and system adaptation
- Hours lost across every department
AI-Standardized Document Management
DOC-CONVERTER analyzes all scattered files uploaded to the system (PDF, DOCX, PPTX, etc.) with AI support and integrates them into your corporate template within seconds.
Scattered Files
PDF, DOC, DOCX, and PPTX — corporate documents such as contracts, reports, and technical specifications.
Bulk Upload
Process dozens of documents at once for department-scale speed.
DOC-CONVERTER
AI-powered analysis and integration into your corporate template.
AI Conversion
Scattered files converted into a standard corporate format within seconds.
Manual Editing
Review critical fields; compare the original source document with the output side by side.
Approved PDF
Instantly download the flawless, up-to-date corporate document as an approved PDF.
- 1Upload
- 2Analyze
- 3Convert
- 4Edit
- 5Download
AI-Standardized Document Management
AI-powered conversion, bulk upload, job queue, and manual editing — on one platform, for every department.
AI-standardized conversion
Scattered files uploaded to the system are analyzed with AI and integrated into your corporate template within seconds.
Bulk upload
Process dozens of documents at once for department-scale speed.
Broad compatibility
Works system-independently; supports PDF, DOC, DOCX, and PPTX formats.
Job queue
Manage pending document flows from all departments on one central screen.
Manual editing
Review and edit critical fields as needed (e.g. add a missing clause or approval note to a contract).
Split view
Compare the original source document with the standard output side by side for zero-error assurance.
Highlights from the product screens
AI-Standardized Document Management
DOC-CONVERTER analyzes all scattered files uploaded to the system (PDF, DOCX, PPTX, etc.) with AI support and integrates them into your corporate template within seconds.
Reduce Hours-Long Processes to Minutes
Bulk upload of contracts and reports for all departments completely eliminates the manual data entry bottleneck.
- Bulk upload Process dozens of documents at once for department-scale speed.
- Broad compatibility Works system-independently; supports PDF, DOC, DOCX, and PPTX formats.
All Processes Under Your Control on One Screen
Keep operational processes transparent; let no critical contract or report be overlooked.
- Live tracking Track in real time whether document conversion processes succeed or fail.
- Job queue Manage pending document flows from all departments on one central screen.
AI Converts, You Perfect
Edit critical fields; compare the original source document with the generated standard corporate output side by side.
- Manual editing Review and edit critical fields as needed (e.g. add a missing clause or approval note to a contract).
- Split view Compare the original source document with the standard output side by side for zero-error assurance.
After making edits, instantly download the flawless and up-to-date corporate document as an approved PDF.
Maximum Efficiency for Every Department
One StandardA comparable, legally compliant, and organized corporate data archive across the entire company.
Smart EfficiencyRedirect thousands of hours spent on manual document editing to strategic operations and growth.
Transparent OperationsA smooth, accelerated, and trackable workflow for managers and operations teams.
What is it?
VideoBot is a next-generation platform that fully digitalizes HR interview processes, lets candidates be assessed on video in their own time, and enables objective decisions through an AI-powered analysis engine. It eliminates the hidden costs of traditional interviews — time loss, bias, and scaling problems — with a smart workflow managed from a single screen.
Digitalize your interview processes and evaluate candidates with artificial intelligence.
Time Savings
Calendar coordination ends. Candidates join on their own schedule; the process runs asynchronously.
Objective Decisions
Every candidate is evaluated to the same standard. Human bias is removed from the process.
Unlimited Scale
Same operational ease with 10 candidates or 1,000. The system grows with you.
Strategic Efficiency
Routine operations are automated; HR teams focus on strategy, not operations.
End-to-End Workflow from Candidate to Decision Engine
Planning work that takes days turns into a digital action that takes minutes — every step from candidate upload, interview design, and criteria definition to invitations, recording, AI analysis, and decision reporting on one platform.
Candidate Pool
Bulk upload via Excel or CSV; names, emails, and contact details in a central database.
Template Editor
Interview design with questions, avatar videos, silence and maximum duration settings.
Send Invitations
One-click invitation email with template selection, duration (days), and candidate list; automatic reminders and status tracking as deadlines approach.
Video Interview
Candidates record in their own time; all answers stored in the cloud, watchable on demand.
AI Analysis Engine
Score out of 100, recommendation (Positive/Negative/Uncertain), and executive summary per defined criteria.
Criteria & Scoring Guide
Position-specific criteria (e.g. communication skills, technical competence, problem solving) and their weights are defined; the AI analysis engine evaluates against this guide.
HR Dashboard
Latest evaluations, performance metrics, comparative candidate reports, and bird's-eye process tracking on one screen.
- 1Upload
- 2Design
- 3Criteria
- 4Invite
- 5Record
- 6Analyze
- 7Decide
Resetting Biases: Objective and Standard Evaluation Criteria
Mathematical Weighting
Precise weights for each position-specific criterion (communication, motivation, etc.) out of a total of 100%.
Customized Artificial Intelligence (LLM)
Custom scoring guides that dictate to the AI engine which optionally defined criteria (e.g. communication skills, technical competence, problem solving, body language, cultural fit, etc.) it should evaluate the candidate with.
Standardization
All candidates pass through the same filter without exception through analysis according to determined criteria.
Scoring Guide (LLM):Evaluation is performed against optionally defined criteria (e.g. communication skills, technical competence, problem solving, body language, cultural fit, etc.).
Example weight:0.25
Score range:Out of 100
Recommendation:Positive / Negative / Uncertain
From digital control room to AI decision engine — full operation on one platform
Resource Management
Save time by managing resource management steps and resource transfers through this screen.
Bird's-Eye Process View
Make fast and informed decisions by following all process details with a bird's-eye view.
Performance Metrics
Optimize recruitment processes by reviewing performance metrics and related comments through this panel.
Flexible Data Import
Bulk candidate upload or single addition in seconds with Excel or CSV.
Fast Filtering
Instant search by name and email.
Central Database
Automatic tracking of name, contact information, and dates added to the system.
Human Touch (Avatar)
Opportunity to assign an avatar video reflecting company culture for each question.
Dynamic Design
Flexible and customizable interview templates.
Time Control
Silence duration for the candidate to think and maximum duration limits for answers. Automatic transition to the next question.
Question Management
Easily add, edit, and sort questions.
Status Filtering
Monitor real-time status of all sent interviews (Waiting, In Progress, Completed) from a single screen.
Deadline Tracking
Automatic listing of interview link expiration dates.
Full Control
Authority to view details, resend the interview with one click, or cancel.
Smart Scoring
The AI engine automatically analyzes each candidate according to defined criteria and scores them out of 100.
Clear Recommendations
Instant guidance in the form of Positive / Negative / Uncertain.
In-Depth Summary
A detailed, automatically generated executive summary explaining each candidate's strengths and weaknesses.
Export
Transfer all data to internal systems within seconds via Excel export.
Against the hidden costs of the traditional interview process
01
Coordination — Time Loss
Problem: Hours of email traffic; calendar coordination is the biggest time drain for HR teams.
Flow: Automatic invitation email with one click via template selection, duration setting, and candidate list; the candidate records in their own time.
Outcome: Async video interviews eliminate calendar coordination; the process starts in minutes instead of days.
02
Evaluation — Bias and Inconsistency
Problem: Traditional interviews are subjective and inconsistent; each candidate is evaluated to different standards.
Flow: AI-supported, 100% objective scoring with position-specific weighted criteria and LLM scoring guides.
Outcome: All candidates pass through the same filter; clear guidance with Positive / Negative / Uncertain recommendations.
03
Scale — Manual Effort Limit
Problem: Scaling is limited due to manual effort; 10 candidates and 1,000 candidates cannot be managed with the same operational ease.
Flow: Scale your operation with one click: multi-candidate selection, bulk invitations, and real-time process monitoring for unlimited candidate management.
Outcome: Same operational ease with 10 or 1,000 candidates on a single platform; the system grows with you.
04
Recording — Scaling and Archiving Problem
Problem: Traditional interview answers are volatile, instantaneous, and irreversible; recording and archiving are problematic.
Flow: All video answers are recorded in the cloud; interview statuses (KVKK Approved, In Progress, Evaluated) are monitored from one screen.
Outcome: Answers can be watched on demand; transferred to internal systems within seconds via Excel export.
A New Era in Human Resources: 4 Key Benefits
Time SavingsCalendar coordination ends. Candidates join on their own schedule; the process runs asynchronously.
Objective DecisionsEvery candidate is evaluated to the same standard. Human bias is removed from the process.
Unlimited ScaleSame operational ease with 10 candidates or 1,000. The system grows with you.
Strategic EfficiencyRoutine operations are automated; HR teams focus on strategy and company culture, not operations.
What is AI Hiring Assistant?
A comprehensive HR platform that analyzes candidate CVs, job postings, and interviews with AI — letting you manage the entire hiring process from one screen. It removes manual pre-screening burden and presents candidate–job fit as measurable scores.
A fast, objective, and data-driven next-generation recruitment experience.
Fast
Job posting and candidate evaluation complete in seconds.
Objective
Consistent, transparent scoring free from personal bias.
Data-Driven
Language, technical competence, and experience fit delivered as measurable metrics.
One Hub
Candidate pool, postings, interviews, and smart assistant on one platform.
6 Major Deadlocks in Traditional Recruitment
Manual processes waste time and budget while candidate–job fit stays unmeasurable. AI Hiring Assistant targets each of these deadlocks.
Time Loss
Manual screening of hundreds of CVs.
Uncertain Fit
Inability to measure candidate–job match.
Insufficient Analysis
Failure to accurately assess technical, language, and experience levels.
Inefficient Interviews
Inability to effectively evaluate video recordings.
Prolonged Pre-screening
Delayed processes negatively impacting hiring.
Rising Cost
Waste of time and budget from prolonged cycles.
End-to-End Workflow from Application to HR Dashboard
From job posting and candidate pool intake to the AI that manages the entire process; from there to scoring, interview support, and smart chat — the full chain managed on one platform.
Job Posting
Created manually or with AI; title, description, and requirements ready in seconds from a URL or file.
CV / Candidate Pool
Resumes are uploaded to the system; skills, experience, and education fields parsed automatically.
AI Hiring Assistant
The AI that manages the entire process — orchestrating scoring, interview support, and smart chat.
Scoring
CV–job matching: two-way, measurable, and transparent percentage fit scores.
Interview Support
Question and video analysis: dynamic question generation aligned with job and candidate, transcripts, and evaluation.
Smart Chat
Natural language search: explore the candidate pool with questions and get in-depth analysis via chatbot.
- 1Job & Candidate Intake
- 2AI Evaluation
- 3Scoring
- 4Interview
- 5Smart Chat
Objective Matching that Eliminates Human Error
Language Proficiency
Instant upload of PDF CVs and consistent analysis of language level.
Technical Competence
Consistent analysis of mandatory skills, free from personal bias.
Experience Match
Measurable, comparable, and transparent experience scoring.
Transparent Answers
Data-driven, instant answers to 'Why suitable?' or 'Why not suitable?'
CV upload:PDF processed instantly
Scoring:Language · Technical · Experience
Matching:Two-way % fit
Transparency:Criterion-based explanation
Fast, Objective, Accurate — Manage the Entire Process from One Screen
Analyze candidate CVs, job postings, and interviews with artificial intelligence.
Single-screen management
Real-time status tracking with metrics; candidate pool, interviews, and postings in one hub.
Smart job posting
Upload a URL or file; title, description, and requirements filled in seconds.
Objective match scores
Language, technical competence, and experience fit shown as measurable percentages.
Two-way smart recommendations
Best jobs for a candidate profile; best candidates ranked by score in job detail.
In-depth analysis via chatbot
Ask AI for candidate summary, strengths, and weaknesses; speed up decision-making.
Dynamic interview design
Generate questions 100% aligned with the job and candidate, based on defined criteria (e.g. technical competence, experience, foreign language, etc.).
Smart interview analysis
Questions and answers automatically extracted from Teams or other platform video recordings.
Natural language candidate pool
Skip complex filter menus — tell the smart assistant: 'List developers who know Java'.
From traditional process to smart hiring
01
Smart job posting
Problem: Hours of manual job writing; inconsistent requirement definitions.
Flow: Upload a URL or file; AI instantly fills title, description, requirements, and skill tags.
Outcome: Before: hours of job writing → After: content ready in 3 seconds.
02
Objective candidate–job matching
Problem: Candidate–job fit is unmeasurable; 'why suitable?' goes unanswered.
Flow: % scores across language, technical competence, and experience; mandatory skill matches and gaps tagged.
Outcome: Comparable, transparent scoring for fast pre-screening decisions.
03
Candidate evaluation via chatbot
Problem: Burden of reading hundreds of CVs; inability to quickly summarize strengths and weaknesses.
Flow: Open a candidate profile, ask the AI assistant 'Position fit' or 'Which criteria is he weak in?'
Outcome: Candidate summary and strengths list in seconds; faster decision-making.
04
Video interview analysis
Problem: Hours of video watching; manual note-taking of questions asked and answers given.
Flow: Upload a video recording; AI auto-detects questions and extracts answers from the transcript.
Outcome: End-to-end video searching ends; evaluation time minimized.
Time, Cost, and Flawless Objectivity
TimeUnparalleled time savings in pre-screening and interview evaluations by automating manual processes.
CostEliminating hidden costs and inefficiency from prolonged recruitment cycles.
QualityCandidate–job matching that is free from personal bias, fully data-driven, and 100% transparent.
Introduction and Overview
It speeds up your development processes and facilitates knowledge sharing. Your smart tool that generates AI-supported documentation by directly referencing the code repository.
DocMind analyzes your codebase using AI technology and instantly creates comprehensive, easy-to-read documentation.
Automatic API References
Extracts endpoints, parameters, and response schemas from the codebase automatically.
Architecture Diagrams
Documents system design and technology stack visually.
Code Explanations & Examples
Explains usage scenarios and code flow with clear examples.
Version Control Integration
Direct access to code via Bitbucket repo URL and branch information.
Chronic Problems in Documentation Processes
Manual documentation processes are a major productivity drain for teams. Documents lag behind code updates; different teams produce inconsistent content.
Loss of Time
Documentation processes take significant time when carried out manually.
Outdated and Incorrect Content
While code is being updated, the document lags behind and content quickly loses its validity.
Inconsistency
Format, level of detail, and linguistic integrity cannot be ensured in content produced by different teams.
Communication Weakness
Failure to share information correctly reduces intra-team efficiency.
Automatically Transform Your Code Repository into Documentation
Analyzes code via the Bitbucket repo URL and branch information received from the user; generates documentation with OpenAI or Google Gemini.
Bitbucket
Direct access to code via repository URL and branch.
AI
OpenAI / Google Gemini model selection.
DocMind
Code analysis, section selection, and live preview — central documentation engine.
Live Preview
Real-time Markdown output; table of contents and sections appear instantly.
Download PDF
Export the generated document as PDF.
Confluence
Publish directly to Confluence with space key and parent page.
- 1Connect
- 2Analyze
- 3Generate
- 4Export
Full Control from a Single Screen
Source configuration, AI settings, and live output preview — all in one interface.
Bitbucket integration
Direct access to code via repository URL and branch selection; connection status visible at a glance.
Multi-model AI support
Choose between OpenAI or Google Gemini; pick the model that fits your project.
Turkish and English output
Documents can be created in both Turkish and English; a common language standard across teams.
Summary or Technical mode
High-level overview only, or deep-dive comprehensive code analysis including private methods.
Modular section selection
Pick overview, installation, architecture, API reference, usage examples, and more as needed.
Extra instructions
Add titles or prompts specific to your requirements to tailor the document to your use case.
Live output preview
Markdown document displayed in real time during generation; table of contents created automatically.
PDF, copy, and Confluence
Download the generated document as PDF, copy to clipboard, or publish directly to Confluence.
An Interface That Simplifies Documentation
Provide Full Control from a Single Screen
Source (Bitbucket), AI & Settings, and Output Preview — three areas unified in one panel.
- Source: Direct access to code with Bitbucket integration.
- AI & Settings: Model, language, detail, and module selection.
- Output Preview: Real-time live result screen.
Seamless Standardization in Two Languages
Thanks to language support, documents can be created in both Turkish and English; content production stays fully consistent across teams.
Technical or Summary: You Determine the Detail Level
Determine the detail level suitable for the document purpose with a single click; controlled content for different usage needs.
- Summary: High-level overview only.
- Technical: Deep-dive comprehensive code analysis, including private methods.
Content Shaped According to Needs with Modular Structure
Choose the document structure modularly: overview, installation, architecture, API descriptions, code flow, and usage examples.
- Extra Instructions: Make the document completely suitable for your use case by adding titles or prompts specific to your requirements.
Export and Confluence Integration
Export the created document as you wish or add it directly to the desired area on Confluence.
Centralized Management: In-team documentation management from a single center. The process speeds up, and content always remains standard and up-to-date.
Professional Turkish Documentation Output
Production-grade documentation with automatic table of contents, clear headings, and architecture & system design sections.
- Automatic Table of Contents All sections listed with icon-supported links.
- Clear Heading Structure About, Features, Architecture, and API Reference clearly organized.
Example Output: One-to-one Consistent English Documentation
Even if the language changes, the standard does not. AI-powered analysis delivers completely professional, production-grade English documentation in seconds — without translation errors or format shifts.
Transform Your Documentation Process with DocMind
Time SavingManual writing is eliminated; analysis takes seconds.
Continuous Up-to-datenessFed directly from the Bitbucket repo; lives with the code.
Precise StandardizationUniform, consistent format with language (TR/EN) and content modules.
Centralized CommunicationAccurate and fast access to information for the entire team with Confluence integration.
Instant Access to Accurate Information from a Single Point
With this application, employees eliminate all obstacles by communicating their internal problems and questions directly through a smart chatbot.
Accelerate internal information flow with artificial intelligence and maximize operational efficiency.
Fast and Consistent Answers
Get instant, standardized responses to repetitive questions.
Single-Point Access
Reach accurate information from one place without chasing authorized contacts.
Independent Resolution
Generate solutions without depending on specific individuals.
Trusted Source
Responses are generated only from authorized Confluence content.
Scattered Information and Repetitive Questions Slow Down Companies
When internal knowledge is scattered, employees must find the right person, wait for answers, and deal with inconsistent information.
Loss of Time
Repetitive questions cause authorized personnel to use their time inefficiently.
Prolonged Response Times
Since access to information depends on specific individuals, bottlenecks occur in business processes.
Institutional Inconsistency
Non-standard responses create inconsistency in inter-team communication and operations.
Operational Slowdown
Scattered information directly and negatively affects the speed of daily operational processes.
Result: Serious Loss of Productivity Across the Company
End-to-End Knowledge Flow from Confluence to Smart Chatbot
Company documents connect to a Confluence space; the DOC2BOT engine indexes content and delivers trusted chatbot responses to employees.
Confluence
Secure connection to a Confluence space via domain, space, and authorization token.
Knowledge Base
Authorized Confluence pages are indexed to build an up-to-date knowledge pool.
DOC2BOT
Central knowledge engine — content analysis, context extraction, and response generation.
Smart Chatbot
GPT-4 powered assistant; generates responses only from authorized content.
Channels
Instant access for employees via web, Teams, and API.
- 1Connect
- 2Index
- 3Ask
- 4Respond
Fast and Easy Access to Corporate Information
Employees can ask the chatbot at any time; repetitive questions are handled automatically and information access time is significantly shortened.
24/7 Uninterrupted Access
Employees can ask the chatbot at any time; they are not dependent on working hours or person availability.
Instant Solution
Repetitive questions that steal teams' time are fully met by the chatbot.
Maximum Speed
The time to access information is significantly shortened, processes are accelerated.
Confluence Integration
Domain and space information is easily defined; the chatbot is ready for use in a short time without complex coding.
Trusted Source
The chatbot generates responses only from authorized content in the relevant Confluence space, eliminating hallucination risk.
Fast and Consistent Answers
Instead of non-standard responses, the same accuracy of information is delivered every time.
An Experience That Delivers the Right Information Instantly
Ask in Your Own Words
Employees ask for the information they need in natural language; DOC2BOT generates the answer from corporate documentation and delivers it within seconds.
- Natural language questions No need to memorize keywords; writing the question in everyday language is enough.
- Source-grounded answers Every answer is generated from corporate documents; the same standard is maintained across teams.
- 24/7 uninterrupted access Get answers at any time, without waiting for working hours or someone's availability.
Confluence Integration: Setup in Seconds, Instant Use
The domain information of the Confluence area to which the chatbot is to be connected is easily defined; the chatbot is made ready for use in a short time without the need for complex coding.
- Domain & Space: The domain information of the Confluence area to which the chatbot is to be connected is easily defined.
- Connect to Environment: The chatbot is made ready for use in a short time without the need for complex coding.
Smart Chatbot: Generates Responses Only from Up-to-Date and Authorized Content
Detailed answers can be accessed quickly by asking desired questions through the created chatbot.
- Reliable Source: The chatbot generates responses based only on authorized content in the relevant Confluence space, eliminating the risk of hallucinations.
Use Your Workforce More Efficiently
With DOC2BOT, transform hours spent searching for information into value-generating work.
Maximize Operational Efficiency with DOC2BOT
Time SavingsRepetitive questions are transferred from authorized personnel to the chatbot.
Institutional ConsistencyAll teams receive standardized answers from the same authorized source.
Process AccelerationInformation access bottlenecks are removed and operational processes speed up.
Productivity GainHours spent searching for information are transformed into value-generating work.
Beyond Manual Review
Code Review scans pull requests and commits with AI; classifies findings, delivers a prioritized action plan to developers, and makes merge decisions data-driven.
Analyze every code change against objective criteria in seconds; make quality measurable and catch critical risks before release.
Objective Analysis
Every piece of code is evaluated against the same standard criteria; quality swings tied to subjective comments disappear.
Measurable Quality
Quality score, automatic summary, and clear merge recommendation accelerate decision-making.
Critical Risk Shield
Production risks such as SQL injection, blocking I/O, and thread safety are blocked before release.
Smart Feedback
Major and minor issues are separated; line-by-line actionable suggestions and positive highlights are provided.
Manual Processes Slow Down Development Teams
Traditional code review processes reduce team velocity, fail to maintain consistent standards, and make it impossible to track project-wide quality numerically.
Time Loss
Manual review processes take hours and reduce sprint speed.
Subjective Evaluation
Code quality depends on the reviewer's current perspective and experience; standards cannot be maintained.
Unmeasurable Quality
Code quality and progress across the project cannot be tracked numerically.
Long-Term Cost of Overlooked Errors
Automated Review Flow from PR to Merge
When a commit or pull request is submitted, static analysis and AI review kick in; findings are classified, and after developer approval a merge or report is produced.
PR / Commit
The developer submits a code change as a pull request or commit.
Static Analysis
Code structure, patterns, and known anti-patterns are scanned automatically.
Code Review
Central review engine — AI analysis, classification, and reporting orchestration.
AI Review
AI evaluates code against objective criteria; produces critical, major, and minor findings.
Finding Classification
Critical risks, important issues, minor improvements, and positive highlights are separated.
Developer Approval
Prioritized action items are presented to the developer; approval follows completed fixes.
Merge / Report
Merge decision or detailed review report is produced with quality score and merge recommendation.
- 1Submit
- 2Analyze
- 3Classify
- 4Approve
- 5Merge
Objective, Consistent, and Automatic Code Review
End-to-end review experience — from standard criteria to line-by-line suggestions, quality scores to prioritized action plans.
Standard Criteria
AI analyzes every piece of code against the same objective criteria within seconds.
Smart Pre-filter
Speeds up the review process and creates a pre-filter for code before human review.
Quality Score & Summary
Generates an automatic summary, quality score, and clear merge recommendation for every code change.
Critical Risk Detection
Prevents issues that would crash production, such as SQL injection, blocking I/O, and thread safety.
Major / Minor Classification
Separates important issues from minor improvements; details architectural debt and test gaps.
Positive Highlights
Highlights quality code examples such as clear docstrings, modular functions, and type hints.
Line-by-Line Review
Does not leave issues general; points out exactly which lines they are in and suggests applicable fixes.
Prioritized Action Plan
Converts all review results into prioritized clear items; clarifies what the developer should fix and in what order.
Highlights from the presentation screens
Objective, Consistent, and Automatic Analysis
Scattered code fragments pass through the AI filter and are classified against standard criteria.
- Standard Criteria: AI analyzes every piece of code against the same objective criteria within seconds.
- Smart Pre-filter: Speeds up the review process and creates a pre-filter before human review.
- Secure Release: Secures paths to production by detecting critical risks at the release stage.
Make Code Quality Measurable and Trackable
Quality score and merge recommendation clarify decision processes.
- Automatic summary: Generates an automatic and understandable summary for every code change.
- Quality score: Code quality becomes comparable with a quality score.
- Merge recommendation: Facilitates decision processes by providing a clear merge recommendation.
Catch Critical Risks Before Release
Critical issues that must be fixed are detected instantly and presented with detailed explanations.
- Instant detection: Instantly detects critical issues that must be fixed.
- Production protection: Prevents issues such as SQL injection, blocking I/O, and thread safety.
Smart Feedbacks Guiding Developers
Makes technical assessment visible by separating major and minor issues.
- Important issues: Details architectural issues like test deficiencies, tight coupling, and configuration management.
- Minor improvements: Provides clear suggestions for unnecessary conversions or unused functions.
Make Quality Code Visible and Encourage It
AI doesn't just look for errors; it also highlights well-written code.
- Docstrings & modularity: Rewards good examples like clear docstrings and modular function structures.
- Team standards: Ensures the establishment of internal team standards with the positive highlights system.
Line-by-Line Detailed Code Review
Exact line references and instantly applicable solution suggestions for every issue.
- Line reference: Does not leave issues general; points out exactly which lines of code they are in.
- Applicable suggestion: Provides an instantly applicable solution suggestion for each issue.
Speed Up with a Prioritized Action Plan
All review results are converted into clear, prioritized checklist items.
- Clear checklist: Converts all review results into prioritized clear items.
- Systematic progress: Eliminates the confusion of what the developer will solve and in what order.
More Secure and Sustainable Software Development
Fast Pre-filteringFast, automatic, and objective pre-filtering shortens the review process.
Measurable QualityQuantifiably measurable and trackable code quality.
Blocked Critical RisksCritical risks prevented before reaching the production environment.
Increased Team VelocityPrioritized action plan reduces delays and maximizes project efficiency.
What is it?
IVR is a voice AI platform that speaks in natural language. It manages inbound and outbound calls, routes them to the right unit, performs voice analysis, and automatically runs and reports on survey and information calls. CallBot is your digital assistant that automatically calls the candidate pool for open positions and conducts short interviews in fluent Turkish.
The decision stays with you — automate pre-screening and operational load.
Smart routing
Understands intent and routes the call to the right place.
Recognition & synthesis
Real-time speech-to-text and text-to-speech.
Conversation handling
Completes survey and information calls.
Reporting
Reports call results and voice analysis.
Automated Workflow from First Hello to Decision
CallBot runs end to end — from introduction and KVKK consent through identity verification, interview, and HR dashboard reporting.
Introduction
The candidate is called; the bot introduces itself and reads the KVKK disclosure text.
KVKK Consent?
The interview never starts without keypad consent.
Immediate Closure
If consent is not given, the call ends and all data is permanently deleted.
Security
Verification of the last 4 digits of the Turkish ID — correct person check.
Interview
5–15 position-specific questions; answers are listened to and transcribed.
Decision & Reporting
AI-supported analysis, scoring out of 100, and summary report.
HR Dashboard
Candidate report card, transcript, and audio recording delivered to the HR manager.
- 1Introduction
- 2KVKK Consent
- 3Verification
- 4Interview
- 5Report
Local Deployment and Corporate KVKK Compliance
Disclosure and Consent
A disclosure text is read at the start of every call; the interview never begins without keypad consent.
Instant Deletion Protocol
If the candidate refuses consent or ID verification fails, the call ends and all data is permanently deleted within seconds.
Automatic Destruction
Successful interview data is automatically deleted after the legally defined retention period set by the organization (e.g. 30 days).
Secure Server
Corporate secure server and record management — full data control with local deployment.
Deployment:Local / corporate server
Consent:Keypad (DTMF) required
Retention:Organization-defined period (e.g. 30 days)
Destruction:Automatic and permanent
Voice platform components and operational power
Natural language understanding
Intent and entity extraction from free speech.
Call routing
Rule and intent-based automatic routing.
Voice & sentiment analysis
Speech quality and tone analysis.
Survey calls
Automatic survey/information with standard questions.
Call reports
Result, duration, and analysis reports.
Secure operation
Corporate secure server and record management.
Parallel calling
Runs many parallel calls simultaneously on a list of 800 candidates.
Smart redial model
Understands "call me this evening"; algorithmically tracks unreachable candidates.
Voicemail protection
Detects voicemail, does not leave a message; filters noise.
Killer question logic
Politely ends the call early when a critical question receives "No".
From HR pre-screening to corporate calls
01
HR pre-screening (CallBot)
Problem: Pre-screening is the biggest time sink for HR teams; 85% of specialist time is spent on calls with candidates who will eventually be eliminated.
Flow: CallBot automatically calls the candidate pool, runs KVKK consent and ID verification, conducts a position-specific interview, and produces a candidate report card with AI scoring.
Outcome: The HR manager receives a final candidate report card with score, strengths/weaknesses, transcript, and audio recording.
02
Appointment and interview reminders
Problem: Scheduled meetings are forgotten or seats go empty without attendance confirmation.
Flow: Natural-language reminder calls such as "Do you confirm your technical interview at 14:00 tomorrow?"
Outcome: Attendance confirmations are collected automatically; the HR calendar stays up to date.
03
Internal / customer satisfaction surveys
Problem: Short surveys via manual calling are expensive and produce inconsistent results.
Flow: Short 5-question surveys run automatically; responses are aggregated on the dashboard.
Outcome: Total score (NPS) is calculated; trend and segment analysis is reported.
04
Event invitations and finance reminders
Problem: RSVP tracking and soft debt reminders tie up operations teams.
Flow: Participation confirmation for internal/external meetings, or offering finance team contact for payment plan updates.
Outcome: Automatic attendance lists are created; finance operations run with polite voice reminders.
The decision stays with you — your time to decide increases
SpeedA pool of 800 candidates screened in 3–5 business days instead of 2–3 weeks
Scale5–10 parallel call capacity; 50+ call attempts per hour
ConsistencyStandard questions, complete KVKK disclosure, zero bias
Time EfficiencyEliminates 85% of low-value calling load on HR specialists
Human DecisionCallBot produces signals; the final decision stays with HR
Candidate Report CardScore out of 100, strengths/weaknesses, and system recommendation