kReative Labs
Back to kReative Labs

Live Early access · noesis-yuktam.com

Noesis

Agents already send email, move money, change records, and ship code, thousands of times a day and faster than anyone can review. Noesis is the layer that lets a company prove what they did.

Visit Noesis Get in touch

The problem

Adoption is not the hard part any more

Frameworks made it easy to put agents into a workflow. What they did not solve is the question an executive asks immediately afterwards: can you show me what it did, and can you prove it was allowed to.

That question is not answered by a log file. It needs a record of every action tied to a decision, a way to judge whether the outcome was any good, and a defensible place where a human signed off when the stakes were high enough to require one.

Architecture

Monitor, review, gate

Noesis governance architecture Agents running in the customer's existing stack emit actions and decisions into a monitoring layer. That record feeds a four-dimension agent review covering outcomes, risk and trust, operations, and collaboration, alongside continuous evaluation suites with trend lines. High-stakes actions route to a human approval step, and everything lands in an auditable trail. YOUR STACK NOESIS PROOF Your AI agents email, payments, records, code, in your own runtime Action monitoring every action and decision recorded 360 degree agent review Outcomes · Risk and Trust Operations · Collaboration reviewed like a team member Continuous evaluation eval suites, trend lines over time Human in the loop where stakes demand it Audit trail every decision reconstructable Executive view value, not vibes
The framing that does the work is the middle box. Reviewing an agent on outcomes and risk, rather than on latency and token count, is what turns a monitoring tool into something an executive can sign off on.

It is designed to sit alongside the stack a company already runs rather than replacing it, which matters because nobody rebuilds their agent infrastructure to adopt a governance product.

This page was compiled from the public Noesis site. The diagram reflects the product as it is described there, not the internal design. Worth extending with the real component boundaries and data model before treating it as a technical reference.

Detail

At a glance

CategoryAI agent governance and evaluation.
BuyerExecutives accountable for agents already running in production.
Review modelOutcomes and Risk and Trust lead, backed by Operations and Collaboration.
EvaluationContinuous eval suites with trend lines rather than one-off scores.
IntegrationWorks with the existing stack; onboarding measured in minutes.
StageEarly access, shipping weekly.