Myraki Labs

AI systems for regulated environments

In our world, “the model said so” is not an answer.

Myraki Labs builds AI that can be traced, questioned, and defended when the audience is a clinician, an auditor, a regulator, or a board.

Explore our platforms How we build
  • Healthcare
  • Government
  • Enterprise operations

Illustrative decision record

DR-0187

Record complete

Claim under review

Approve action only within delegated authority.

System confidence Bounded
SourceAnalysisBoundaryReviewer
01 Inputs and authority

Policy set 3.2, job scope, and the reviewer’s delegated authority.

3 sources · authority verified
02 Supporting signal

The requested action fits two explicit grants and resolves to named sources.

2 corroborating grants
03 Contradicting evidence

One downstream effect falls outside the currently delegated scope.

1 unresolved exception
04 Stated limits

The system cannot infer unstated authority or approve its own exception.

human decision required
Human review is required before execution.
Owned platforms02Built under our own name
Direct constraintsFDA · HIPAAPlus institutional review
Operating ruleHuman retains the callEvidence before automation

The system contract

Built for the question that comes after the demo.

Regulated work fails when an output arrives without its basis, its limits, or an accountable decision-maker. Our systems carry all three forward.

01 / Traceable

Every conclusion carries its lineage.

Named sources, explicit reasoning, conflicting evidence, and authority remain attached to the output.

02 / Reviewable

The system builds the case. A person makes the call.

Accountable role Qualified reviewer
Evidence
Visible
Contradiction
Preserved
Authority
Required
Human checkpoint

03 / Durable

Written for the review that has not happened yet.

  1. At decisionInputs and authority captured
  2. At handoffContext travels with the record
  3. Months laterThe basis can still be reconstructed

Owned platforms

We built the systems we could not buy.

Two platforms, built under our own name, each addressing a failure mode where generic AI does not hold up.

01 / Platform Owned by Myraki Labs

Nomos

The operating system for AI-powered organizations.

Agents fail less often from incapability than from missing authority: nobody can say who approved what, on what basis, or how to unwind it. Nomos provides the governance, permissioning, and decision-record layer.

02 / Platform Owned by Myraki Labs

NeuroClarity Dx

Earlier neurological signal, with the uncertainty left intact.

Neurological disease is most treatable when it can be hardest to see. NeuroClarity Dx is being built to surface early signal alongside what argues against it and where certainty ends. The clinician retains the call.

Applied work

The same discipline, pointed at someone else’s hard problem.

We take on a small number of engagements where traceability and human accountability are part of the product requirement, not an afterthought.

01

Public-sector oversight

Agentic audit systems

In discussion / pilot scope
02

Clinical & life sciences

Evidence-forward decision support

Active
03

Regulated enterprise operations

Governed agents and reconstructable decisions

Active

Our approach

Necessity first. Restraint throughout.

Both platforms began because nothing on the market was good enough for the decision that had to be made.

We lead with the constraint, state what the system cannot know, and build governance before scale. In regulated work, restraint is not caution around the product. It is part of the product.

THE NAME

Myraki is our take on the Greek meraki: to leave a piece of yourself in the work. Pronounced meh-rah-kee.

Start a conversation

Tell us what you are building, and what it has to withstand.

hello@myrakilabs.com