Multi-source ingestion
Pull from Slack, Jira, Outlook, databases, and shared drives to one compliant memory plane.
Türkiye-first enterprise AI memory
Mycellia Memory Layer
Your company's all knowledgeand your documents, finally in one memory layer.
Your documents, conversations, and all operational decisions are automatically organized into a single living intelligence layer. This allows you to instantly access the information you need and receive intelligent, on-demand answers from every document you upload.
Files → Mycellia Core → Chatbots & Agents
Pipeline
How Mycellia Works
A deterministic pipeline that ingests, enriches, and serves every asset with enterprise guardrails.
Sense
Ingest PDFs, Office docs, email, Slack, ERP exports, even on-prem stores through secure pipes.
Map
Auto-build a constantly updating knowledge graph with Turkish-tuned embeddings, scopes, and metadata.
Answer
Enterprise-grade RAG, citations, and permission-aware AI agents respond with confidence.
RAG Demo
Ask anything. Mycellia finds the truth instantly.
QUESTION
Who is responsible for Q2 customs compliance, and what changed compared to Q1?
FROM QUESTION TO ANSWER
1
SEARCH & SCOPEFinds the right documents
Runs hybrid vector + keyword search across your scoped workspaces, filtering by company, workspace and data scopes.
OUTPUT · 37 DOCUMENTS MATCHED
2
UNDERSTANDUnderstands versions & changes
Uses the document processing pipeline to read chunks, versions and knowledge graph links, and compares Q1 vs Q2 rules.
OUTPUT · LATEST ACTIVE POLICIES + DIFF
3
ANSWERResponds with proof-backed answer
Generates a grounded answer, lists responsible owners, and attaches citations so every sentence can be traced to a file.
OUTPUT · EXPLAINED ANSWER + CITATIONS
Enterprise Memory Layer
Every document, meeting note, and screenshot flows into a governed, queryable memory fabric.
Knowledge graph intelligence
Entity linking, relationship awareness, and version lineage built directly into every answer.
AI agents with scope control
Delegated agents operate securely inside RBAC scopes, KVKK boundaries, and department policies.
Enterprise Memory Layer
Every document, meeting note, and screenshot flows into a governed, queryable memory fabric.
Mycellia unifies every document, conversation, and decision into a living AI memory optimized for Turkish enterprises.
- Multi-source ingestion — Pull from Slack, Jira, Outlook, databases, and shared drives to one compliant memory plane.
- Knowledge graph intelligence — Entity linking, relationship awareness, and version lineage built directly into every answer.
- AI agents with scope control — Delegated agents operate securely inside RBAC scopes, KVKK boundaries, and department policies.
Mycellia Core
Chatbot
Agent
API
Ask anything. Get answers, tables, and charts.
Interact With Your Data
Turn Excel files, SQL databases, ERPs, CRMs, and internal APIs into an interactive intelligence layer. Ask in natural language and Mycellia returns tables, charts, and summaries instantly.
- Connect Excel, CSV, Google Sheets
- Connect PostgreSQL, MySQL, MSSQL, MongoDB
- Connect internal APIs & business systems
- Automatic query generation with permission checks
- Get structured answers: tables, charts, summaries
- One-click export to PDF/Excel/Slides
- Autonomous agents that build dashboards on the fly
“Show monthly sales by region for 2024.”
| Region | Jan | Feb | Mar | Apr |
|---|---|---|---|---|
| Marmara | ₺2.4M | ₺2.8M | ₺3.1M | ₺3.4M |
| Ege | ₺1.1M | ₺1.2M | ₺1.3M | ₺1.5M |
| İç Anadolu | ₺900K | ₺1.0M | ₺1.2M | ₺1.4M |
Pie Chart
Bar Chart
Why it matters for Türkiye
Everything finally in one memory
Docs, spreadsheets, ERP exports, and inbox attachments stop living in silos.
Zero AI expertise required
Pre-trained Turkish models, smart defaults, and no DevOps dance for busy leaders.
Security and permissions built-in
Scopes follow your org chart. HR salary data never leaks outside HR + C-level.
Product modules
Sense → Map → Ask → Flow → Train
Sense
Secure data ingestion from apps, storage, and human uploads.
Map
Knowledge graph, metadata enrichment, and topic modeling.
Ask
Semantic search, filtered retrieval, and transparent citations.
Flow
Workflow agents that trigger downstream systems.
Train
Industry fine-tuning plus Turkish-first embeddings.