A company brain is a single, current source of what your business knows—readable by both people and AI tools.
Y Combinator named it one of the ideas it most wants built in 2026, and a crowded field has answered. This is an honest map of that field, including where our own product sits.
The reason to build one is simple: everyone on your team may have become good at using AI individually, but everything they have taught their AI lives in separate chats and tools.
One person becomes the superuser. Everyone else asks that person. Every new tool starts from zero. Every new colleague starts from zero.
A company brain changes that. The company's knowledge gets written down once, kept current, and made available to every person and AI tool that needs it. Instead of everyone working from their own private context, the whole team works from the same picture of the business.
The tiers below differ on two questions:
Who builds that picture? You, deliberately, or software that ingests everything automatically?
Who is it for? One person, a team, or an enterprise?
A note on our position
We build Sento, which sits in the governed tier. We've tried to describe every tool here fairly, the way its own team would describe it, and we'll make our case plainly at the end.
Judge it against the alternatives.
Tier 1: The Solo Vault — Obsidian and Notion
This is the do-it-yourself tier, and it's genuinely the right place for an individual founder, operator, or consultant to start.
Obsidian
Obsidian stores everything as plain Markdown files on your disk, which makes it one of the most AI-readable options in this list.
Point a filesystem MCP server at the vault and an AI tool can answer from your notes. Create one note per important fact, give each an owner and a date, and you can have a working personal company brain in a weekend.
We wrote a full guide to building one, and we mean it when we say: build this first. Nothing teaches you the shape of the problem faster than maintaining one yourself.
Notion
Notion trades the plain-file approach for a friendlier editor, databases, collaboration, and built-in AI. As a company wiki, it's excellent.
As a company brain, it has the classic wiki problems: pages accumulate, ownership gets blurry, and stale information can sit unnoticed until an AI quotes something from last spring as though it were current.
Who this tier fits: one motivated person.
Where it cracks: rollout.
Getting an entire team to contribute consistently, deciding who can see what, and keeping hundreds of pieces of knowledge current are the three problems every DIY system eventually hits. No plugin removes them.
Tier 2: Auto-Ingest — Hyper and Sentra
This tier attacks the contribution problem by removing most of the human effort.
Connect your existing tools and let software assemble the brain for you.
Hyper
Hyper (Y Combinator, spring 2026) reads sources including Slack, Notion, Gmail, calendars, and pull requests, then synthesizes and deduplicates them into a continuously updated picture of the company.
The result can then plug back into the AI tools you already use.
The pitch is speed: connect a few systems, do very little authoring, and the brain starts assembling itself.
Sentra
Sentra (sentra.app, not to be confused with the data security company of the same name) captures what teams know and turns it into a shared, queryable memory for people and agents.
The tradeoff
The strength of this approach is also the weakness.
What goes in is whatever the connectors can see.
That includes the current plan, the outdated plan, the abandoned pricing discussion, and the sarcastic Slack message.
The system then has to work out which information represents reality.
When two sources disagree, the software has to decide which one to use—or leave the conflict for the AI to resolve.
For teams that want maximum coverage with minimum effort, that's a compelling trade.
But there's a fundamental question to ask:
Who decided that the resulting information was true?
With auto-ingest systems, the answer is often the software itself.
The picture your team ends up working from is therefore a synthesis of what the system found, rather than a set of facts the company explicitly reviewed and approved.
If a roughly-right answer is good enough, this may be exactly what you want.
If the cost of being wrong is high, the distinction matters.
Tier 3: The Enterprise AI Workspace — Dust
Dust takes a different approach. Rather than treating company knowledge as a separate layer, it combines company data, agents, conversations, and orchestration into a shared AI workspace.
Dust raised a $40M Series B in May 2026 and reports 3,000 organizations using the platform. It is one of the more mature products in this landscape for companies that want AI work to happen inside a dedicated environment.
The proposition is straightforward: give the company one place where AI work happens.
That can be powerful if you're willing to make that organizational decision.And that's also the tradeoff.
Dust works best when the company adopts it as a core surface for work. The workspace and the company brain effectively become one platform decision.
For a large organization ready to make that move, this can be the right answer.
For a smaller team that wants its existing AI tools to become more knowledgeable without moving work into another workspace, it's a different proposition.
Tier 4: The Governed Context Layer — Sento
This is ours, so here's the case plainly.
Sento is built for the team described at the beginning of this article: everyone has become good at AI individually, and the goal is to bring that capability up to the level of the whole company.
The company's knowledge gets written down once, in one shared place. From then on, people and AI tools work from the same current picture of the business.
Written once, useful everywhere
Knowledge lives as small entities, each with an owner and version history.
Your existing assistants and agents read that knowledge over MCP. There is no new AI workspace to adopt and no behavior change required across the company.
A new colleague—or a new AI tool—starts with the team's existing knowledge instead of starting from zero.
Current without constant upkeep
Automated couriers refresh numbers from your existing sources on a schedule. Meetings can flow in from your notetaker. Decisions can be captured from Slack.
People decide what is true once. Software keeps it current.
The goal isn't to automate the decision about what's true. It's to automate the maintenance after the decision has been made.
Trust built in
Per-entity rules determine who and what may read or write each piece of knowledge.
Every answer can trace back to the fact it came from.
When you want to know why an AI gave you a particular number, you should be able to find the source immediately—not start an investigation through old chats and documents.
We run our company on it
Our outbound playbook, meeting records, metrics, changelog, and weekly reports all live in Sento and are written to and read by our own agents every day.
Who is Sento for?
For a team of roughly 10 to 200 people, this is the category we built for: companies that want everyone—and every AI tool—to work from the same current picture of the business.
The setup is deliberate rather than automatic. That's intentional.
During early access, we do the first workspace with you in roughly an hour, free.
And there's one customer we'd honestly send elsewhere:
If you want a zero-effort, approximate company brain and the cost of a wrong answer is low, the auto-ingest tier may make you happier.
We'd rather say that than pretend every company needs governance.
Also Worth Knowing: Developer Memory Infrastructure
mem0 and supermemory solve a related but different problem.
They provide memory infrastructure for developers building AI products: APIs for storing and retrieving what an agent should remember.
They're building blocks for engineers rather than company brains for teams.
If you're building your own AI product, though, this is the category to look at.
The Short Version
If you're one person, start in Obsidian this weekend. Build the thing yourself and learn where the friction appears.
If you're an enterprise ready to consolidate AI work onto one platform, look at Dust.
If you're building an AI product, look at mem0 or supermemory.
For everyone in between, ask one question:
How expensive is a wrong answer?
If the honest answer is "not very," an automatically assembled brain may be all you need.
If the answer is "expensive," you need a system where the company can decide what's true, keep it current, and trace an AI's answer back to its source.
That's the problem Sento is built to solve.
Your AI doesn't know your company. Sento fixes that.
Frequently Asked Questions
Isn't a company brain just a wiki?
Not quite.
A wiki is primarily written for people. People can notice that a page is outdated, understand context that isn't written down, and ask someone when something doesn't make sense.
AI doesn't reliably do those things.
Give an AI a stale page and it may quote it confidently. Give it an information gap and it may fill the gap with an inference.
A company brain therefore needs more than documents. It needs ownership, freshness, provenance, and access rules at the level of the knowledge itself.
That's the practical difference.
Can't I just use my AI assistant's built-in memory?
For one person, partly.
Built-in memory can be useful for personal preferences and recurring context. But it isn't a shared company knowledge system.
Your teammate's AI doesn't automatically know what yours knows. There may be no company-wide owner for a fact, no shared review process, and no guarantee that the knowledge survives a change in AI provider.
A company brain makes knowledge shared, inspectable, governed, and independent of any single AI tool.
Personal AI memory isn't designed for that.
Which should I pick?
One person: a solo vault.
An enterprise consolidating AI work onto one platform: Dust.
Building your own AI product: mem0 or supermemory.
A growing team that wants every person and every AI tool working from the same current picture of the business: the governed layer.
And yes, within that category, we recommend Sento. We're biased, but we've tried to make the comparison above clear enough that you can see exactly where that bias starts.
