01
Operating Graph
Typed work state: people, tools, entities, decisions, sources, permissions, actions, and consequences.
Private design-partner preview
Your agents are becoming useful faster than they are becoming governable.
Today, control lives in scattered prompts, scripts, logs, and human review. Saer is building one governed layer your agents act through — where actions carry permission, evidence, authority, review, and consequence.
Pre-product. We’re building this with a small number of founders already living the problem.
The problem
The more your agents can do, the more your control logic falls apart.
Every new agent gets its own permission checks, prompt rules, approval hooks, and logs. None of it adds up to a system. The more useful your agents get, the more brittle and expensive control becomes.
The old way: control rebuilt per agent
Permission, review, and memory get re-invented every time you add an agent.
- Permissions, prompt rules, and approval logic scattered across your code.
- A human babysits anything risky, because nothing is trusted unattended.
- Logs tell you what happened, after it already happened.
The layer we’re building
One governed operating layer your agents act through, instead of bespoke guardrails.
- Agents act through shared permission, evidence, and memory.
- High-stakes actions become proposed state until someone with authority accepts them.
- Every action carries intent, authority, evidence, and consequence.
Operating model
Not a chatbot.
Not after-the-fact observability.
A governed layer your agents act through.
Saer turns scattered company state into a system agents can reason from, act through, and answer back to — with control native, not bolted on.
02
Governed Memory
Bounded, provenance-rich context for agents. Memory with control, not loose summaries.
03
Command Layer
Human intent becomes governed action across agents, tools, and time, under permission and review.
04
Evidence & Review
Findings, approvals, traces, audit records, confidence, contradiction, and rollback boundaries.
Operating loop
From signal to action to memory — without losing the reason why.
SenseIngest signals from tools, docs, meetings, markets, and systems.
ThinkSurface options, contradictions, risk, uncertainty, and evidence.
DecideCreate findings and decision records linked to source material.
ActDelegate bounded tasks through agents, workers, and tools.
ReviewRoute high-stakes mutations through approval and audit gates.
LearnFeed consequences back into memory, evals, and future workflows.
Observability tells you what an agent did. Saer governs what it’s allowed to do — and why.
Govern, don’t just observePermission-aware contextAgents should only see and use the state they are allowed to act on.
Human review gatesHigh-stakes work becomes proposed state until accepted by the right authority.
Evidence trailsDecisions carry source, freshness, confidence, contradiction, and limitation metadata.
Governed memoryMemory mutation is explicit, reviewable, reversible, and bound to consequence.
Action recordsEvery side effect can preserve intent, actor, permission, tool, result, and outcome.
Model/tool neutralityThe OS governs work across tools and models rather than depending on one assistant.
Who this is for
For founders whose agents are already creating control problems.
This is you if…
- Agents in your company already touch tools, data, memory, and decisions.
- You rebuild guardrails every time you add one.
- You can feel capability getting ahead of control.
Private preview
Help shape the governed operating layer for agent-heavy companies.
Saer is pre-product and building with a small number of founders already living this problem. If your agents are getting useful faster than you can govern them, let’s talk.