Companies don't have a brain.
Sagy builds one, so your team and AI agents do the work.
Sagy maps your company’s knowledge and turns it into executable workflows your team and AI agents can run.
Trusted by engineering teams building modern software
Your team's knowledge is scattered.
Your AI agents pay the cost.
Domain knowledge lives in Slack DMs, Jira tickets, code reviews, meeting recordings, and three senior engineers' heads. No model can reason its way out of that.
Where your team's knowledge hides today
Fragmented across tools.
Slack, Jira, GitHub, meetings, runbooks. None of it talks to each other. Context lives in pieces.
Locked in humans.
The architecture call from 18 months ago lives in someone's DMs. The fix lives in a senior engineer's head.
Unusable for agents.
Without structured, current context, AI agents stall, hallucinate, or bounce work back to a human.
The knowledge exists.
It's just not in a form an agent can use.
AI is ready. Companies are not.
The biggest blocker to AI automation used to be the model. It isn't anymore.
Models can reason. Agents can act. The thing that stops them now is your company itself: fragmented, undocumented, dependent on people remembering things.
That's not a chatbot problem. It's not a search problem. It's an infrastructure problem.
Companies need a brain.
Meet the company brain.
Sagy captures your company's knowledge, structures it continuously, and compiles it into executable skills your AI agents can run.
Captures knowledge as work happens
Conversations, code, decisions, incidents, pulled in continuously from the tools your team already uses.
Structures it into living memory
Not a folder of docs. A connected, queryable model of how your company actually works, kept current without manual upkeep.
Compiles it into skills agents can run
Skills are reusable, executable units of work, not documents. Your agents call them. Your team owns them.
From raw signal to running agents.
Sagy observes your company's work, understands what matters, compiles it into skills, and lets your agents execute.
Connects to where work happens
Sagy ingests Slack, Teams, Jira, GitHub, meetings, and docs. No new workflow. No documentation tax.
Builds structured memory
Raw signal becomes a queryable model: who decided what, why, which code it touches, what's still true today.
Turns memory into skills
Memory is compiled into reusable, executable units agents can call: investigate this incident, onboard this engineer, explain this service.
Agents run the work
Agents call skills against live company knowledge, in Slack, Teams, the IDE, or your own automations.
Not search. Not chat. Not docs.
None of those let an AI agent actually do the work.
Not a search engine
Search returns links. Agents need structured context.
Not a chatbot
Chat returns text. Agents need to do the work.
Not a wiki
Wikis go stale. Memory has to stay current on its own.
Sagy is infrastructure.
A structured, current model of your company that agents can reason over and act on.
The output isn't an answer. It's executed work.
What your agents can do, once you have a brain.
Engineering is where context is the bottleneck and knowledge is most expensive, so it's where a company brain pays back first.
Investigate incidents
Without paging a senior engineer.
Agents pull the runbook, the prior incident, the related PR, and the past decision, then lay out what's likely, what to check, and what's already been ruled out.
Debug faster
With the full why, not just the what.
Agents trace through services, surface the relevant change, and explain the why, grounded in your team's real history, not generic guesses.
Onboard new engineers
Replace months of tribal handholding.
Agents walk new hires through your stack, services, and conventions, pulling answers from how your team actually works, not a stale wiki.
Answer the repeat questions
The ones your seniors get every week.
Agents answer in Slack, Teams, or the IDE, with sources. Senior engineers stop being a help desk for context that already exists.
Memory Where Work Happens
Sagy integrates directly with the tools your team already uses. No new workflows to learn.
Knowledge is captured automatically in the background.
Every company will need a brain.
Agents are about to do real work inside companies. Not chat. Not summaries. Work.
The companies that win the next decade won't be the ones with the best models. Those are commoditized. They'll be the ones whose knowledge is structured, current, and executable.
That's the company brain.
Sagy is how you build it.
Give your company a brain.
Start with engineering. See what your agents can do once they have the full picture: captured, structured, and executable.
What teams ship with a company brain
90%
Knowledge retained
40%
Faster onboarding
20%
Productivity boost
Because the company brain compounds over time.
FAQ
Visit our help center to get in touch.
We're super responsive.