Your AI agents read only what you decide
AI Agents
Gateway
Knowledge Base
Zone sécurisée
Claude
Claude · Anthropic
ChatGPT
ChatGPT · OpenAI
Gemini
Gemini · Google
AI Agents
Claude
Anthropic
ChatGPT
OpenAI
Gemini
Each agent queries only the authorized Cortex base.
·MCP is the secure checkpoint between the AI agent and your knowledge.
Cortex transforms your business documents into isolated, project-level knowledge bases, queryable via MCP. Your agents answer from grounded knowledge — not from guesswork.
# one project · one base · one key
endpoint "https://cortex/v1/p_01HZX...ULID"
auth Bearer ck_live_••••••••••
tools [search, read_index, read_doc] # read-only
→ agent connected. answers grounded in your data.Compatible with
An AI agent is only as good as what it can access
Most teams face the same obstacles before they can deploy a reliable AI agent.
The real risk isn't AI itself. It's the lack of control over what your agents access.
Scattered, inaccessible documents
Knowledge is spread across drives, emails and wikis. The agent doesn't know what exists — and neither do you.
Prompts that are impossible to maintain
You paste entire manuals into system prompts. Every document update breaks something in production.
Cross-project leakage risk
One agent, multiple clients. No isolation. A document from client A can contaminate client B's response.
No visibility on what agents read
You don't know exactly what your agent has access to, or how current its knowledge actually is.
Updates require redeployment
Changing a procedure means editing the prompt, redeploying the agent, and hoping nothing breaks.
Same agent, wrong context
Without a grounded base, agents hallucinate. They answer confidently — from the wrong document or from nothing at all.
A knowledge layer between your documents and your agents
Cortex sits between your business knowledge and your AI agents — giving you control, isolation, and reliability.
Documents
Markdown, notes
Cortex
Isolated knowledge base
AI Agent
Claude, GPT, Gemini…
Structured & isolated
Each knowledge base is a separate project. No cross-contamination between clients, topics, or agents.
Exposed via MCP
Every Cortex project becomes a standard MCP endpoint. Your agent connects in minutes.
Read-only by design
Agents can query your knowledge but never modify it. Your documents stay clean and controlled.
From documents to connected agent — in 5 steps
Create a Cortex base
Open a project in Cortex. Name it, describe it, and set its scope.
Add your business documents
Upload Markdown files, structured notes, or any text-based content. Your knowledge, organized.
Generate a secure MCP endpoint
Cortex generates an isolated MCP endpoint and a project key. One base, one key — revocable at any time.
Connect Claude, ChatGPT or your IA
Point your MCP-compatible agent at the endpoint. Done in minutes, without redeployment.
The agent queries only your base
Your agent searches and reads only the knowledge you defined. Reliable, grounded answers.
Update the knowledge. The agent uses the new version on the next query.
Where teams deploy Cortex
One platform, multiple concrete applications.
Customer support
Answers aligned to your validated procedures. The support agent never steps outside the authorized base.
Multi-client AI agencies
One isolated base per client. Each project delivered and maintained independently — with zero leakage risk.
WhatsApp & conversational agents
Conversational agents connected to controlled knowledge. No copy-paste, no improvisation.
Product documentation
Reliable technical answers from your real docs. Not hallucinated specifications.
Sales teams
Arguments, pricing, and product sheets always up to date. The sales agent reads the latest version.
Internal business FAQ
HR, legal, or operational procedures — queryable directly by your teams.
Onboarding & training
Consistent answers for new hires. Zero bottleneck on experienced team members.
Administration & compliance
Regulatory procedures queryable via agent. Consistent, auditable, always current responses.
One project. One base. One key.
Every Cortex project is a walled-off namespace. No cross-access. No leakage between clients.
The isolation model
No cross-reading between bases. Keys revocable instantly. Read-only on the agent side.
Project isolation
Each knowledge base is a separate project. Nothing leaks between clients, topics, or agents.
Server-side authorization
Authorization is enforced on the server. No client-side tricks — access control is real.
Read-only access
Public tools are strictly read-only. Agents search and read. They never write, modify, or delete.
Revocable keys
Each project key can be revoked instantly. Disable access without touching your agent's configuration.
ULID identifiers
Public resource identifiers use ULID — unique, collision-resistant, non-enumerable.
Full call logging
Every query is logged. You can review what your agents accessed, when, and how often.
You update the document. The agent uses the new version on the next query.
Your knowledge evolves. Your agents follow.
No redeployment. No prompt edits. No developer required.
Add without a developer
Upload new documents at any time. The next agent query picks them up automatically.
Update without redeployment
Change a procedure, a price, or a policy. Your agents always read the current version.
Remove without reconfiguring
Disable or delete a document. Agents stop accessing it immediately — without touching their configuration.
Cortex Knowledge Base
LiveAgents query the latest version on every request.
No redeploy. No reconfiguration.
What Cortex actually changes
AI response reliability
- Agents grounded in your real documents
- No more hallucinations on your procedures
Knowledge control
- You decide what each agent can read
- Full logs on every query
Isolation by client or project
- One project = one isolated MCP
- Zero leakage between clients or use cases
Maintenance without reconfiguration
- Update documents without redeploying
- Disable content instantly
More reliable agents
Answers grounded in your actual documents — not hallucinated.
No more endless prompts
Stop pasting manuals into system prompts. One MCP call replaces hundreds of lines.
Clear isolation
One base per client, project, or use case. Nothing mixes.
Easy to maintain
Update your knowledge base without touching your agent's code.
Faster integration
From documents to connected agent in under an hour.
Access governance
You control who accesses what — with revocable keys and full audit logs.
Fewer context errors
Agents answer from structured, validated knowledge — not from context guesswork.
Scalable by design
One platform for one project or hundreds. The architecture doesn't change.
Built for teams that build and deploy AI agents
AI integrators
Deliver one isolated base per client. Each project is walled off, auditable, easy to hand off or revoke.
Digital agencies
One Cortex project per client. Deploy faster. Maintain less. Deliver more reliable agents.
Support teams
Connect your support agent to your product knowledge. It answers from validated procedures — without escalating.
Operations teams
Turn your procedures into a queryable base. Consistent answers across your entire team, at any time.
Technical teams & CTOs
A reliable, secure memory layer. MCP-native, auditable, under your control. Ready in minutes.
Businesses with AI assistants
WhatsApp, Slack, or your website — stay in control of what your AI reads and can respond.
Plans adapted to your volume of agents and knowledge
Start simply. Scale as you use. No surprises.
Starter
To test and explore
Free
- 1 knowledge base
- Included data quota
- 1 MCP endpoint
- Community support
Growth
For production use
Usage-based
- Unlimited knowledge bases
- Pay per data consumed
- Configurable usage cap
- Priority support
Scale
For high-volume needs
Custom
- Volume discounts
- Dedicated SLA
- Enterprise billing
- Priority & dedicated support
Indicative pricing — adapted to the number of MCP projects, document volume, and support level. Contact us for a precise quote.
Common questions
No. Cortex is not a document storage system — it's a knowledge layer for AI agents. You can source documents from your existing drive, then structure and expose them as a queryable knowledge base via MCP.
Give your agents knowledge they can't make up
Tell us about your use case. We'll help you identify the first Cortex base to connect to your AI agents.
Send an email →Tell us about your project
Describe your use case. We'll get back to you within 24 hours.