Virideon is the institutional memory layer underneath your AI stack — a governed, owned record of what your organization has decided, done, and learned, that any model or agent can reason over and cite.
It's not that your tools are broken. It's that no tool was ever built to hold what you and your organization know. So it leaks — slowly, invisibly, constantly.
Every time something gets forgotten, it gets paid for twice. Once when it happens. Once when it has to be recovered.
Analysis gets rebuilt that already exists. Nobody knows — because nobody remembers, and nothing connects the dots.
Decisions made in meetings disappear. Accountability evaporates. The commitment existed — it just has no memory to live in.
The same questions keep getting asked because the reasoning behind the answer never got written down anywhere that survives.
When people leave, their context goes with them. Most organizations only notice when the missing memory becomes a business problem.
Virideon doesn't replace Claude, ChatGPT, or whatever AI you already use. It's the deeper memory underneath — not the lightweight session memory those tools added last year. The model stays yours. The data stays yours.
Virideon ships as a stand-alone application for teams who want to start today — and as a connector with no interface of its own, for organizations wiring memory directly into their own AI tools.
A stand-alone workspace where memory is already built in. Email, meetings, projects, audio, people, and chat — unified, with full context from day one.
Triage, draft, and file to projects — in one pass, with context the AI already holds.
Auto-generated timelines, decisions, and narratives — updated as work happens.
Auto-curated profiles for everyone you work with — recent meetings, topics, decisions, no manual entry.
A headless memory layer your AI tools plug into. One MCP connection — every model, agent, and app reaches the same memory. REST too, if you prefer.
Connect Claude, ChatGPT, your agents, or internal apps. Memory becomes a service call.
Structured reasoning across time, entities, and sources — with full provenance on every answer.
Runs inside your infrastructure. Air-gapped, multi-tenant, built for regulated environments.
Real work isn't a chat. The moment AI starts doing things — reading data, drafting, updating systems, routing approvals — across many people and tools, it needs a durable, governed record of that work that no single model or app can hold.
An immutable record of every event, with its source.
The live state, kept current as things change.
Analysis with its reasoning attached.
Successful workflows, captured to run again.
Every change, approval, and acceptance, logged.
Sources, contradictions, and what's gone stale.
Provider memory is a black box — you can't inspect or govern it. This is memory you can wrap permissions, policy, and code around, so agents act from outcomes, safely, as the models and tools underneath keep changing.
Most AI tools retrieve. Virideon reasons. Here's what that distinction looks like across the capabilities that actually matter at work.
| Capability | Current approaches | ✓ Virideon |
|---|---|---|
| Cross-source reasoning Connecting answers that live across email, docs, calls, and chat |
Returns the most relevant individual documents. The synthesis is left to you.
Manual effort required
|
Reasons across all sources simultaneously and delivers a single synthesized answer with citations back to each source.
No assembly required
|
| Temporal awareness Understanding what changed, when, and why |
Returns the latest version of a document. No understanding of history or drift.
Point-in-time only
|
Maintains a living timeline across every connected source — surfaces changes, flags reversals, and traces decisions back to their origin.
Full history, always
|
| Commitment tracking What was promised, to whom, and whether it happened |
No awareness of obligations. Action items live in meeting notes, if they're captured at all.
Falls through the cracks
|
Automatically extracts commitments across calls, email, and documents — then flags anything that went quiet with no follow-up.
Nothing gets dropped
|
| Identity resolution Knowing that "Mike," "M. Chen," and mike@co.com are the same person |
Treats each mention as a separate entity. Cross-referencing across sources is a manual exercise.
Fragmented view
|
Resolves people, organizations, and topics automatically across all ingested sources — one unified view regardless of how they're referenced.
One unified view
|
| Deployment control Where your data lives and who can reach it |
Cloud-hosted. Data leaves your environment and enters a shared inference layer.
Shared infrastructure
|
Runs inside your infrastructure. Single-tenant, air-gap capable, zero data egress. Built for regulated and sovereign environments.
Your infra, your rules
|
| Provenance & audit trail Knowing where every answer came from and trusting it |
Answers arrive without attribution. No way to verify what source was used or when it was ingested.
Black box output
|
Every answer carries a full chain of provenance — source document, ingestion timestamp, and confidence score. Auditable by design.
Fully traceable
|
30 minutes. Your data. No deck.
We'll be in touch within a few hours to schedule your demo.