Decision assurance for high-stakes AI
Verify identity, authority, evidence and decision history without moving sensitive work beyond the boundary you control. MatuLabs turns high-stakes AI output into a reviewable route—not an unsupported answer.
Sensitive work stays under institutional control.
Material claims retain a reviewable route.
Critical decisions can be reconstructed.
Authority remains visible and accountable.
Choose your route
Start with the job you need to complete today, or inspect the protocol and trust infrastructure underneath every governed decision.
Review meetings, controls, IFRS 17 workbooks, risk and control evidence in a specialist workspace.
Explore portable agent identity, authority, decision receipts, replay and the draft AI Decision Protocol.
Interactive proof lab
Choose a real enterprise workflow. This public, illustrative model shows how MatuLabs is designed to move from raw material to a reviewable output without hiding evidence, uncertainty or human responsibility.
What exactly did the committee decide—and what remains disputed?
TR / EN meeting audio and agenda
→Time-coded decision, dissent and deadline windows
→Speaker-aware action and contradiction review
→Material ambiguity requires authorized review
→English minutes, action and open-risk draft
→Correction history and final release receipt
Illustrative workflow · no customer data · no live analysis
DECISION_EVIDENCE_GRAPH / PUBLIC_MODELOne assurance operating system
One secure intake, one evidence ledger and one review queue connect every MatuLabs workspace like a fast enterprise nervous system. Teams move from source to decision without losing provenance or accountability.
Files, workbooks, folders, audio and video.
Hash-bound source, transformation and decision lineage.
Uncertainty, alternatives and decision-critical exceptions.
Human-owned approval before final use or delivery.
Specialized workspaces
Start with the problem your team feels today. Add specialist workspaces without rebuilding the controls, evidence or review model underneath.
Turns multilingual meetings into English board minutes, decisions, actions, owners and deadlines—with every critical item linked back to a reviewable evidence window.
Challenges whether controls are merely documented or actually evidenced, then links gaps to findings, owners and corrective action in one traceable loop.
Finds formula breaks, assumption conflicts, unexplained movements and lineage gaps across IFRS 17 workbooks and review notes—before they reach a decision.
Connects risk, owner, action, SLA and board visibility so management can see what changed, who owns it and what happens if nothing moves.
Maps each risk to the control, evidence, exception and action needed to close the loop, with an integration path for process-model ecosystems such as ADONIS and iGrafx.
Understands a founder request, resolves it against current evidence, routes bounded work to the right specialist agents and returns a decision-ready answer without silently crossing approval gates.
Decision intelligence
Each specialist workspace is being designed to return traceable findings, two evidence-bound recommendations and two conditional foresight signals—without turning a review draft into a final legal, audit, financial or actuarial opinion.
Which board decision has no owner, deadline or evidence?
Which control looks complete on paper but fails in operating evidence?
Which IFRS 17 movement is unexplained, inconsistent or unsupported?
What changed in the workbook—and which conclusion moves because of it?
What should management do next, and what is likely if nothing changes?
Traceable platform intelligence
New governance layers are being integrated across the shared spine: provenance, model and tool lineage, policy conflict detection, verifiable reasoning, governed memory, incident replay and customer-controlled deployment preflight. These are engineering contracts under active validation—not claims of live deployment or certification.
Sources, transformations, findings and release points are designed to stay connected through hash-bound receipts.
Version and tool receipts are required before replay equivalence or performance claims can be made.
Policy conflict, human override and bounded containment contracts keep unresolved judgment visible and fail-closed.
Cost, latency, health and drift signals remain unclaimed until measured evidence is attached.
Trusted-source candidates pass sandbox replay, independent validation and adoption receipts before persistent use.
Adapter, vault-mode, regulatory-pack and incident-response contracts prepare customer-controlled deployment without implying it is already live.
Signed receipt verification, tenant-scoped replay protection and adversarial conformance checks are available as a no-egress developer preview.
Measured quality, robustness, attestation and revalidation can form a reviewable certificate candidate without writing a live passport registry.
Nine canonical records, fail-closed negative vectors and a public scoring kernel make evidence, constraints, alternatives, trade-offs and verification requirements inspectable without storing private chain-of-thought.
Explicit capability contracts, algorithm portfolios, hard constraints, sensitivity, conservative confidence and precommitted counterexamples make the decision route testable without copying model weights or storing private chain-of-thought.
Archived internal engineering evidence · measured 1 August 2026
This source-bound snapshot reports internal architecture, repeatability and safety controls from the current codebase. It is not a customer-pilot result, external certification or production-readiness claim.
Every current objective scope is linked to versioned internal evidence; missing scope count is zero.
The current-head scan found no missing proof ID and no source-manifest conflict.
The compacted internal evidence catalog currently reports neither condition.
Zero parse failures, zero unknown or growing critical hotspots and zero critical static-security findings.
Two clean wheel builds matched their reproducibility contract with zero RECORD failure.
The V2 reasoning control plane keeps optimal paths, alternatives and confidence reviewable while execution authority remains closed.
Dated internal engineering snapshot · not current-head customer evidence · no production reliance · human and external evidence remains required
The infrastructure thesis
MatuLabs has implemented AI Decision Protocol v0.1 as a provider-agnostic public draft: nine canonical, hash-bound record types connect decisions, evidence, policy, tools, model/runtime identity, human review, replay, outcomes and revocation without requiring raw customer data.
The offline conformance suite passes its golden, tamper, missing-review and replay-mismatch vectors. Private Board, IFRS17, ICR and MatuRisk now emit review-only ADP shadow receipts. Independent governance, external certification and a global trust network are not yet live.
ADP v0.1 · public draft · conformance-ready · no enforcementWho requested what, under which model, tool, authority and bounded effect.
→Hash-bound references connect material claims to sources without requiring raw-data publication.
→Deterministic policy results and non-authorizing tool records keep unresolved authority fail-closed.
→Provider, model, runtime, configuration and build identity travel as hashes under one neutral contract.
→Approval, rejection, conditions, versions and expected outputs preserve the route required for offline verification.
→Measured outcomes and revocations remain attached without rewriting decision history or silently promoting trust.
Trust by architecture
The differentiator is not another chatbot. It is a controlled chain from source to conclusion, bounded by explicit permissions, evidence receipts and human release points.
Open the Trust Center→Customer material can remain inside the controlled environment.
New knowledge moves through replay, validation and receipt gates.
Important outputs stay connected to reviewable source windows.
Unresolved material uncertainty remains visible and cannot finalize silently.
How MatuLabs works
Receive the work in its native format.
Extract structure, terminology and relationships.
Find inconsistencies, gaps, risks and alternatives.
Bind findings to source and transformation lineage.
Route only material judgment to authorized people.
Invisible quality engines
Software Agent, Quality Measurement, Council review and Security Mesh operate behind the customer workspace. A verifiable reasoning control plane tests constraints, alternatives, sensitivity and counterexamples without exposing or storing private chain-of-thought. Bounded learning, replay and receipt checks improve reliability without silently changing live behavior.
The long horizon
The larger MatuLabs research direction is a portable trust rail where decisions, capabilities, policies, incidents and revocations remain independently verifiable across tools and organizations. The current assurance workspaces and offline SDK are proving grounds—not a claim that a global network is already live.
Research direction · not a live networkClear boundaries
Trust is not a disclaimer added at the end. It is the product behavior: what the system may prepare, what it must reveal and what it cannot finalize.
Structured findings, evidence links, reconciliations, alternatives, draft minutes, recommendations and conditional foresight.
Uncertainty, missing evidence, conflicting policies, changed assumptions, human corrections and the route to every material conclusion.
Final legal, audit, financial or actuarial opinions; silent learning; unsupported production reliance; or release beyond approved authority.
Contact MatuLabs
MatuLabs is still in active development. We can receive product, pilot, support and responsible-security messages now; access, pricing and delivery dates remain subject to human review.
Please do not email passwords, API keys, payment-card data, identity documents, customer files or other confidential information. Initial replies may be prepared automatically from approved public facts and are escalated when judgment is required.
Public development status
This website shares the MatuLabs vision, architecture and product direction. Commercial product access is not open yet; development-stage information, pilot and support messages are accepted through the published contact addresses.
MatuLabs does not run inquiry forms, visitor analytics, advertising trackers or marketing cookies on this site. Essential hosting and security infrastructure may process limited technical request data to deliver and protect the website.