Memory AGI

Muscle memory
for AI agents.

Hand us a slice of your data — we build your organization's knowledge and runtime memory layer, ground your agents in your business, and keep it current automatically.

Overview

Your AI is only as good as the context you give it.

Without it, agents stay stuck at intern-level — guessing at how your company runs. We turn your processes into knowledge agents can actually execute: they run reliably, and show their work, so you can trust what they ship.

Pillars

Three layers of muscle memory.

01

Dynamic Ingestion

We capture and structure your company's unique knowledge — from pure voice notes to internal documents, or by connecting to the tools where your data already lives.

02

Runtime Memory Layer

Agents access a live, de-duplicated context layer — a company knowledge base your humans, agents, and automations all draw on to perform tasks like your best employees.

03

Continuous Maintenance

As your business evolves, your agents' memory updates automatically to stay relevant — so the context never goes stale and the logic never falls behind.

The System

From scattered knowledge to a single source of truth.

Voice notes, docs, tickets, and tool data rarely agree. We synthesize them into one structured, de-duplicated runtime layer — versioned and queryable — that every agent and automation reads from in real time. One memory, shared across your whole operation.

Who builds it

Operators who built the infrastructure agents now run on.

Seasoned operators who have built and exited infrastructure start-ups — and were super early at Snowflake. We built the infrastructure for data cloud at scale and trained foundational models, so we understand what it takes to make agents drive outcomes for the real economy.

Heritage
Early at Snowflake
Depth
Trained foundational models
Track record
Built & exited infrastructure

Give your agents real context.

Give us a slice of your data. We'll turn it into muscle memory.