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.

Book a walkthrough
// the real problem

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.

// platform

One control plane for your entire digital workforce

From the first event to full autonomy — observe, evaluate, and govern every agent through a single, auditable system.

// agent workforce

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.

bug-triageautonomouspass
support-agentassistreview
billing-monitorsuggestblocked
// policy evaluation

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.

package noesis.guardrails
deny[msg] {
input.action == "delete_record"
input.user_role != "admin"
msg := "blocked: insufficient role"
}
deniedevaluated in <1 step
// trust ledger

An immutable record of every decision

Each action logged, reviewed, or escalated — with SHA-256 tamper evidence. Audit-ready by default.

13,247 actions · 30d
// eval suites

Continuous evaluation with trend lines

Track tool.correctness, task.completion, and groundedness over time. Catch regressions before they ship.

1 regress
// workflow automation

Triggers, modes, and run history

Define workflows with suggest / assist / autonomous modes. Track run counts and success rates per workflow.

suggestassistautonomous90.4% avg success
// incident management

Escalate, route, and resolve

Severity-based routing with MTTR tracking. Critical issues page on-call; everything else is handled autonomously.

0 open1 escalated2.4h MTTR
// integrations

Works with the stack you already run

Drop Noesis into your existing agents and tooling — no rip-and-replace, no new framework to adopt.

OpenAIAnthropicLangChainOTLPPythonTypeScript
2official SDKs
5 minto first event
OPApolicy engine
OTLPnative ingest
// traction

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.

Atlas Robotics logoAtlas Robotics
Northwind Labs logoNorthwind Labs
Ledgerly logoLedgerly
Cardinal Health AI logoCardinal Health AI
Vega Logistics logoVega Logistics
Helix Support logoHelix Support
8
design partners onboarding
fintech, devtools & support teams
1.2B+
agent events ingested
across pilot deployments
SOC 2
Type II in progress
audit underway with a Big Four firm
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.
design partnerHead of Automation, Helix Support
// impact

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.

0%
of agent actions auto-approved within policy
faster path to safely autonomous agents
0%
of decisions captured, logged & auditable
SOC 2
audit-ready by default

Leaders use Noesis to

Govern every agent action
Reduce operational & compliance risk
Keep a human in the loop
Prove what their agents did
Promote agents to autonomy
Move faster than competitors
Pass every audit
// developers

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.

// latest updates

Shipping every week

Follow along as we build the management layer for AI agents in the open. Here's what's new.

View full changelog
May 2026v0.9new

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.

Apr 2026v0.8shipped

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.

Mar 2026v0.7shipped

OTLP-native ingest + Grafana dashboards

Stream agent traces, logs, and metrics over OpenTelemetry. Drop-in dashboards for action volume, block rates, and latency.

Feb 2026v0.6shipped

Python & TypeScript SDKs

Official SDKs with batch ingest, sync/async evaluation, retries, and a built-in circuit breaker. One line to capture every action.

// get started

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.