Lay the groundwork for an intelligence explosion inside your company.
AI gets dramatically smarter every year. Inside most companies, it doesn’t — every agent starts from scratch, every lesson is forgotten, every mistake is paid for twice. Minsa turns the work your organization already does into compounding intelligence: a shared memory that makes every agent, and every person, better than the last.
“An intelligence explosion is just compounding — applied to knowledge work. The companies that lay the groundwork now will pull away from everyone who didn’t.”
Our team built frontier AI at OpenAI, Meta, and xAI — now we’re bringing it inside your company. Book a demo →
AI models are getting smarter. Your company isn’t.
Almost every company has adopted AI. Almost none of them compound it. The model improves on a lab’s schedule, but inside the organization nothing accumulates — and intelligence that doesn’t accumulate can’t explode. Three things stand in the way:
Knowledge doesn’t compound
Every agent and teammate starts from zero. What one figures out is lost the moment the session ends, so the same problems get solved — and the same mistakes get made — again and again.
The work was built for people
Your processes live in people’s heads, not in a form a machine can reason over. AI gets bolted onto work no one ever mapped, instead of work redesigned to compound.
No shared brain
Each tool, team, and agent runs in isolation. There’s no common memory, no propagating fixes, no “pick up where the last one left off.” Effort scatters instead of stacking.
Give a company a shared, compounding memory and something new happens: every task makes the next one easier. That curve, run long enough, is an intelligence explosion.
Three layers of groundwork
Minsa sits underneath your agents and your teams and does the unglamorous work that makes intelligence compound. Connect it in one command; it discovers your agents and starts building.
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Map
Understand how work really flows
We turn your logs, documents, and the trajectories of past work into a living map of how your organization actually operates — the dependencies, hand-offs, and decisions — so work can be redesigned for machines, not just described for people.
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Align
Point it all at a clear goal
Set the rules that always hold, the goals each team is working toward, and what “good” looks like. Every agent and teammate pulls in the same direction instead of optimizing for activity.
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Compound
Make every lesson permanent
Agents share one knowledge base. They document what they learn, propagate fixes to every other agent instantly, and never repeat a mistake. New people and new models pick up exactly where the last one left off.
What you get
One command connects Minsa to your stack and discovers every team and agent. From there, the shared brain builds itself.
Shared memory
Every agent on a team reads and writes one knowledge base. Ask “what was my teammate working on?” and get a real answer.
Living map of your work
A graph of how work actually flows, so you can see what to redesign — and so agents understand how one workflow depends on another.
Best practices, written for you
After each session an agent summarizes what it did and why. Institutional knowledge stops walking out the door.
Goals & guardrails
Org-wide rules that always hold; goals and metrics by team and person. Aligned intent for humans and agents alike.
Mistake memory
Failures are captured once and surfaced the moment they’d recur. Fixes reach every agent instantly — each error becomes a permanent improvement.
Instant onboarding
New teammates and new models inherit the whole shared brain on day one, and pick up exactly where the last left off.
Why Minsa
Compounding beats raw horsepower
A smarter model helps once. A company whose knowledge compounds gets better every single day. Over time it isn’t close.
The groundwork is the moat
Anyone can buy the same models. No one else has your mapped processes, your shared memory, or the lessons your agents have already learned.
Built to make intelligence accumulate
Minsa exists for one job: to ensure nothing your organization learns is ever lost — so the curve only points up.
Research
We publish what we learn about making organizational intelligence compound — memory architectures, continual learning, and the economics of agent work.
How Minsa drove a 22% gain on APEX-Agents
Building a knowledge graph of the APEX-Agents world, intervening before agents repeat mistakes, and learning continually — what each contributed to a 22% improvement.
Read →Shared memory for teams of agents: an architecture
A knowledge-graph design that lets every agent on a team read, write, and reason over one continuously updated store — and propagate fixes instantly.
Read →Lay the groundwork. Then watch it compound.
See your organization’s work turned into a shared, compounding intelligence your agents build on.