Cogriva — Cognitive memory for digital transformation

Why we exist

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

01 — THE VISION

A single, living memory for every digital-transformation program. Not another dashboard to check — a system that already knows what happened last sprint, last quarter, last vendor change, and connects it to what's happening right now. Cogriva exists so that institutional knowledge stops leaving with the people who resign.

02 — THE MISSION

To centralize every signal an IT program produces, let AI reason over that memory to surface the suggestion a senior PM would give, and flag emerging risk while there's still time to act on it — every dimension of the program, one place it all adds up.

The problem we resolve

The same three failures repeat on every program we've seen.

6+tools programs typically split data across before Cogriva

3 wksearlier risk visibility Cogriva targets vs. steering-committee surprises

1program record replacing manual status decks

Figures above are illustrative targets for this concept, not measured production results — replace with validated numbers once pilot data exists.

Without Cogriva

01 Project data lives in six 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 three weeks earlier.
04 Status reports are a manual, backward-looking chore instead of a forward-looking signal.

With Cogriva

→ One data hub pulls every source into a single, continuously updated program record.
→ AI memory retains decisions and context, and briefs every new stakeholder automatically.
→ Risk detection watches the pattern underneath the data and raises it while it's still small.
→ Suggestions arrive before the meeting, drawn from what actually happened — not a template.

How it works

Three capabilities, one continuous loop of memory, reasoning, and warning.

Data hub

Every tool your program already uses — tickets, chat, docs, sheets — pulled into one continuously current record, so nobody hunts across six tabs for the truth.

AI memory & suggestion

Cogriva remembers every decision and its context, then reasons over that memory to offer the next best action — the way an experienced PM would, minus the tribal knowledge lost to attrition.

Risk detection

Emerging risk rarely announces itself — it shows up as a pattern across five small signals. Cogriva watches continuously and raises it while there's still runway to respond.

Unified timeline

Every ticket, decision, and status update auto-assembled into one chronological program record — no manual note-taking.

Decision memory

A searchable log of what was decided, when, and why — so the reasoning survives even when the person who made the call has moved on.

AI suggestions

Next-best-action prompts drawn from what actually happened on this program — not a generic template pulled from a playbook.

Risk radar

Pattern-based early warning that flags emerging risk while there's still runway to change course — not after the steering committee is surprised.

Architecture — how the layers connect

Integrations layerChat, ticketing, docs, and spreadsheet connectors — pulls data from tools your program already uses.

Data hub & decision storeA single, continuously updated program record — the source of truth every other layer reads from.

AI reasoning & memory layerLLM-based reasoning over a persistent context/vector memory store, tuned for program-management judgment.

Risk & suggestion engineContinuous pattern-matching across signals to raise risk early and propose the next action.

Deployed on standard cloud infrastructure with encrypted storage and role-based access control — vendor/provider names to be confirmed once the infra partnership (see "For partners") is finalized.

Roadmap

Where the program stands now, and 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 or grant support received in Phase 0 is earmarked to accelerate the Phase 1 risk-detection engine and pilot-to-beta transition — the stage where outside capital has the most leverage on timeline.

For partners & grant programs

Built to plug into a cloud or AI ecosystem, not compete with it.

Cogriva's reasoning and memory layer is designed to run on standard cloud/AI infrastructure (compute credits, managed LLM APIs, vector storage) — meaning ecosystem support directly funds usage of the partner's own platform, and every pilot program becomes a reference customer for that ecosystem's enterprise/IT vertical.

Contact: founder@cogriva.com

Your program already told you this risk was coming. Cogriva was listening.