[ YENTRA CORTEX / THE CONNECTED MEMORY SUBSTRATE ]
STOP PRIVATE AI CHATS.
GIVE THE ORGANISATION
A SHARED BRAIN.
Cortex is the persistent memory layer that sits under the AI tools you already use. Humans and agents read from and write to the same controlled knowledge — so context stops disappearing, and documents become something people can simply ask about.
Runs inside your own AWS, Azure or GCP. Your data never leaves.
[ 01 / PROBLEM ]
EVERY TEAM USES AI. NOBODY SHARES WHAT IT KNOWS.
04 BLOCKS
// LEAD
The AI remembers the conversation. For everyone. For one person.
Someone opens a chat and does good work. The moment that knowledge needs to reach a colleague, another team, or a different AI tool, it breaks. They copy-paste, re-explain, and hunt the same PDFs again. When people leave, critical context often leaves with them.
// WHERE THE CONTEXT GOESPER WEEK
Stays with one person86%
Re-explained71%
Documents re-hunted64%
Token caps hit58%
SIGNAL : KNOWLEDGE NOT SHARED
// 01
Memory is private
Each chat remembers its own thread and nothing else. There is no organisational recall — only a growing pile of individual ones.
// 02
Documents stay buried
Procedures, manuals and policies sit in folders nobody searches. The current version and the version in use are rarely the same.
// 03
People leave
When your best operator resigns, the reasoning behind years of decisions goes with them. The files remain. The context does not.
// 04
The bill is wrong
Teams hit token caps regularly while asking the most expensive models to do simple retrieval work. Frontier reasoning, spent on lookup.
[ 02 / DEFINITION ]
A PERSISTENT, SHARED MEMORY LAYER
NOT A CHATBOT
// WHAT CORTEX IS
THE BRAIN YOUR
CHATBOTS CAN
READ AND WRITE.
Cortex connects to the AI tools you already use — Claude, ChatGPT, Copilot and others — through the MCP protocol. It sits underneath them and holds the knowledge they were never able to keep.
It is not another chatbot.
It is the organisational brain those chatbots can finally use.
01Content is curated and pushed in — you control what enters.
02Access is permission-based — team, individual or private.
03Only the relevant fragments are returned to the AI, never whole documents.
04A small, cheap model does the linking and retrieval. Frontier models stay reserved for complex reasoning.
[ 03 / BENEFITS ]
THREE THINGS THAT CHANGE IMMEDIATELY
03 OUTCOMES
01
// SHARED MEMORY
Shared memory instead of private chats
The useful context from every conversation becomes available to the rest of the team and to every connected agent. Nobody starts from zero.
02
// CHAT-READY DOCUMENTS
Company documents become chat-ready
Procedures, manuals, policies and past decisions stop living in folders. People and agents simply ask, and receive the exact answer with the source.
03
// LOWER AI COST
Dramatically lower AI cost
Simple retrieval and Q&A are handled by cheap models at fractions of a penny. Token usage drops because the AI receives only the relevant text, not whole documents.
[ 04 / HOW IT WORKS ]
CURATE · STORE · RETRIEVE · WRITE BACK
04 STEPS
01
// STEP 01
You curate
what matters
Documents, procedures, decisions and notes are pushed in deliberately. Nothing enters the brain that you did not choose to put there.
↳ CONTROLLED INTAKE
02
// STEP 02
Cortex stores it
inside your walls
Everything sits in your own infrastructure with full permission control — team, individual or private spaces.
↳ YOUR AWS / AZURE / GCP
03
// STEP 03
Anyone asks
from any tool
A person or an agent asks a question through Claude, ChatGPT or Copilot. Cortex returns only the relevant fragments, with the source.
↳ FRAGMENTS, NOT FILES
04
// STEP 04
The answer
goes back in
The conversation itself can be written back into the shared brain, so the organisation keeps learning from its own work.
↳ THE LOOP CLOSES
// PRINCIPLE
Structure emerges from use. Flow is preserved.
[ 05 / CONTROL ]
BUILT FOR ORGANISATIONS THAT CARE WHERE DATA SITS
IN-CLIENT
// RESIDENCY & GOVERNANCE
YOUR CLOUD.
YOUR PERMISSIONS.
NO THIRD PARTY.
▸Deployed entirely inside your AWS, Azure or GCP environment.
▸No third-party hosting of your data.
▸Permission model supports teams, individuals and private spaces.
▸Designed for public sector, government, banking and any environment where data residency and auditability matter.
▸Works with the sovereign Claude instances many regulated organisations already run.
// DEPLOYMENT BOUNDARYNO EGRESS
HOSTINGIN-CLIENT
PERMISSIONS3 SCOPES
AUDITABILITYFULL TRACE
[ 06 / COMPARISON ]
TYPICAL TOOLS TODAY vs. YENTRA CORTEX
05 AXES
AXIS
TYPICAL TOOLS TODAY
WITH YENTRA CORTEX
Memory
Private to one person, or locked in documents
Shared across people and agents
Documents
Hard to find and keep current
Chat-ready, with the source
When people leave
Knowledge often leaves with them
Knowledge stays searchable and usable
AI cost
Frontier models used for everything
Cheap models for retrieval, frontier only when needed
Data location
Often outside your control
Inside your own infrastructure
[ 07 / THE TEST ]
THE RESIGNATION TEST
ONE QUESTION
// THE RESIGNATION TEST
When your best person leaves tomorrow, does their knowledge stay usable — by the rest of the team, and by every AI agent?
YES
With Cortex, the reasoning stays where the work happens: in the shared brain, permissioned, sourced, and available to the next person who asks.
// WHAT COMES NEXT
CortexMEMORY LAYER
Where most teams start. The shared brain itself.
OntologyDEEP ENGINEERING
Deeper ontological engineering for organisations that need it.
Most teams start with the shared brain and expand only once the value is proven.
[ 08 / WALKTHROUGH ]
SEE THE SHARED BRAIN WITH YOUR OWN DOCUMENTS
20 MINUTES
READY TO SEE IT WITH YOUR OWN DOCUMENTS?
// PRIMARY
Book a walkthrough
Bring one real procedure or document your team already struggles to keep current. We will show you what asking it looks like.
DURATION20 MINUTES
PREP REQUIREDONE DOCUMENT
ATTENDEES2–4
// SECONDARY
Talk about a pilot
A scoped pilot inside your own infrastructure, with your permission model and a defined set of documents.
HOSTINGYOUR TENANT
SCOPEONE TEAM
// FOR TECHNICAL TEAMS
Architecture review
For CTOs and platform teams: the MCP bridge, the retrieval path, the permission model and the audit trail, in detail.
AUDIENCECTO / PLATFORM
DEPTHFULL STACK