Put AI agents to work
with the controls to prove it.
Noesis is the governance layer that lets your business adopt AI agents without betting the company on them. Every action is monitored, every decision is auditable, and a human is in the loop wherever the stakes demand it.
AI agents are already acting on your behalf.
Can you prove what they did?
Your agents send emails, move money, change records, and ship code — thousands of times a day, faster than any human can review. Frameworks help you adopt them. Noesis is the layer that lets you trust them in production.
A 360° review for every AI agent
Review agents the way you'd review a team — leading with Outcomes and Risk & Trust, backed by Operations and Collaboration. Provable value, on an auditable system.
Outcomes
How much real value the work actually delivers.
Continuous evaluation with trend lines
Track tool.correctness, task.completion, and groundedness over time. Catch regressions before they ship.
Triggers, modes, and run history
Define workflows with suggest / assist / autonomous modes. Track run counts and success rates per workflow.
Risk & Trust
How safe, constrained, and explainable every action is.
Guardrails that run before actions execute
Write policies in OPA Rego. Every agent action is evaluated against your rules — violations are blocked or flagged in real time.
An immutable record of every decision
Each action logged, reviewed, or escalated — with SHA-256 tamper evidence. Audit-ready by default.
Operations
How efficiently and reliably your agents run day-to-day.
Manage agents as first-class workers
Deploy, monitor, and organize agents across teams. Each agent gets its own identity, rate limits, and scorecard — so you always know who did what.
Escalate, route, and resolve
Severity-based routing with MTTR tracking. Critical issues page on-call; everything else is handled autonomously.
Collaboration
How cleanly agents coordinate with tools, systems, and each other.
Coordination you can actually see
Trace handoffs, tool calls, and inter-agent chatter end to end — and catch loops or stalls before they burn budget.
Live data flow — agent action → governance → execution
streamingWorks with the stack you already run
Drop Noesis into your existing agents and tooling — no rip-and-replace, no new framework to adopt.
Trusted by teams putting agents into production
We're partnering with a select group of teams that operate agents where errors can be costly and require demonstrable governance.
“Noesis gave us the audit trail and the kill switch we needed to finally let our support agents act on their own. We can see every decision, and step in before the costly ones happen.”
Measurable results, not a leap of faith
Leaders adopt Noesis to turn AI agents from a liability into a competitive advantage. Here's what that looks like in production.
Leaders use Noesis to
From zero to governed in three minutes
Drop in the SDK, point it at your instance, and start capturing every agent action. Sync or async evaluation, batch ingest, retries and a circuit breaker built in.
Shipping every week
Follow along as we build the management layer for AI agents in the open. Here's what's new.
Human-in-the-loop review queues
High-risk actions now pause mid-flight and route to a reviewer. Approve, reject, or edit — the agent picks up exactly where it left off.
Trust scoring & earned autonomy
Every agent now carries a live trust score from its eval history. Promote agents from suggest to autonomous once they clear your threshold.
OTLP-native ingest + Grafana dashboards
Stream agent traces, logs, and metrics over OpenTelemetry. Drop-in dashboards for action volume, block rates, and latency.
Python & TypeScript SDKs
Official SDKs with batch ingest, sync/async evaluation, retries, and a built-in circuit breaker. One line to capture every action.
Adopt AI agents with confidence
Join the organizations putting AI agents into production with the oversight, controls, and audit trail to do it safely at scale. Get early access or schedule a walkthrough on your own workflows.