Cogriva: Cognitive memory

Why we exist

Transformation programs don't fail from lack of data. They fail from data that never talks to each other.

Every program should have one memory that stays.

Not another dashboard to check - something that already knows what happened, and why. When someone resigns, what they knew stays behind.

We pull everything your program produces into one place, keep track of why each call was made, and speak up when something starts drifting - while you can still do something about it.

The problem we resolve

We see the same 3 failures on every program.

Without Cogriva

01 Project data lives in 6 tools - chat, tickets, docs, sheets - and nobody has the full picture.
02 Context walks out the door with every PM handover; the next lead re-learns the same lessons.
03 Risk shows up as a surprise in the steering committee, not a warning 3 weeks earlier.
04 Writing status reports eats a day, and they only describe what already happened.

With Cogriva

→ One hub pulls every source into a single record that stays current.
→ The memory keeps every decision and its context, and briefs whoever joins next.
→ Risk detection will read the pattern under the data and speak up while the problem is still small.
→ Suggestions will arrive before the meeting, based on what actually happened here.

How it works

3 capabilities, 1 loop: Cogriva remembers, reasons, then warns.

01 - Data hub

It remembers

Cogriva pulls whatever your organisation already runs into 1 record that stays current, and keeps every decision with the reason behind it.

02 - AI memory

It reasons

Ask what was decided, when, and why, and the answer comes back with the message or meeting it came from. That knowledge stays even after people leave.

03 - Risk detection

It warns

Risk rarely announces itself. It shows up as a pattern across 5 small signals. Cogriva spots it while you still have runway, and what it learns goes back into the memory.

Architecture - how the layers connect

Integrations layerConnectors read from the chat, tickets, docs, and sheets you already use.
Data hub & decision storeOne record holds it all, and every layer above reads from it.
AI reasoning & memory layerAn LLM reasons over that memory, tuned for the judgment a program manager needs.
Risk & suggestion engineThis layer will watch for patterns, raise risk early, and propose the next move.

We run on standard cloud infrastructure, with encrypted storage and role-based access. We'll name the provider once the partnership is settled.

Why not the tool you already have

Every tool holds a fragment. None holds the memory.

The more platforms a program runs on, the harder its context is to put back together. Cogriva puts it back together.

Neutral by design

Cogriva has no stack to defend. Every source runs through the same pipeline, so adding one is a connector, not a rebuild.

Program memory, not personal memory

Assistants remember how you like to work. Cogriva remembers what the program decided, so the answer is the same whoever asks.

Answers you can check

Every answer carries the message, document, or meeting it came from. A claim you cannot trace is a claim nobody acts on.

Roadmap

Our vision in the next 6-12 months

Phase 0 - Now

Foundation

Q3 2026

Core data hub + decision memory MVP
Closed pilot with 2-3 design-partner programs
Concept & brand finalization

Phase 1 - Next

Intelligence

Q4 2026

AI suggestion engine live for pilot users
Risk-detection radar in beta
Early-access cohort opens (waitlist → beta)

Phase 2 - Later

Scale

2027

Multi-program roll-up for PMO/portfolio view
Ecosystem integrations (cloud/AI partners)
International market expansion

Funding in Phase 0 goes straight into the Phase 1 risk engine and the move from pilot to beta. That's where money buys the most time.

Signals to Certainty