Policy-Driven Verification-as-a-Service

AI decisions cannot enter regulated workflows on trust alone.

MetaSolve verifies AI and software systems against defined policies, binds results to auditable evidence, and helps organizations make controlled release decisions.

Formal verification. Evidence lineage. Release gates. Continuous assurance.

Book an Enterprise Verification Review Try a Code Review
Explore enterprise assuranceStart a free trial
Evidence-boundPolicy-awareFail-closedHuman-reviewed
Controlled release pathPolicy-bound review
  1. Register scope
  2. Verify controls
  3. Bind evidence
  4. Human review
  5. Allow, review, or block
Default postureFail closed when evidence is missing

Core value

Verification evidence that can support a real release decision.

Defined policy scopeExact artifact bindingReviewer lineageAuditable receipt

How MetaSolve works

Five stages from system registration to release posture.

The primary journey stays concise. Detailed operational controls remain available for technical evaluation.

  1. 01

    Register

    Identify the AI system, model, software, policy, deployment, and review scope.

  2. 02

    Verify

    Run technical, formal, security, model, or policy checks appropriate to the scope.

  3. 03

    Bind Evidence

    Link results to the exact evaluated artifact, policy version, and evidence source.

  4. 04

    Review

    Apply policy rules, segregation of duties, escalation, and required human judgment.

  5. 05

    Decide

    Allow, review, or block release based on defined controls and available evidence.

View full assurance lifecycle

Inputs: prompts, models, code, policies, evidence sources, deployment metadata.

Controls: claim extraction, proof obligations, security checks, model assurance, policy gates.

Outputs: findings, reviewer decisions, certificates, ledger receipts, continuous signals.

Assurance control plane

Four capability groups, one governed decision path.

Flagship workflows are visible first; specialist modules remain available when the evaluation requires them.

Verify

Evaluate the system

AI Decision Verification, Code Review, Model Assurance, and Formal Verification.

Explore verification
Govern

Control the release

Policy-driven gates, reviewer workflows, projects, and tenant-scoped identity.

Explore governance
Prove

Preserve the evidence

Root of Trust, Evidence Vault, Evidence Ledger, certificates, and reports.

View evidence example
Integrate

Fit the environment

Scoped API keys, enterprise APIs, CI/CD, private cloud, and on-premise patterns.

Developer documentation
Explore all capabilities

Verification: AI Trust Gateway, Code Zone, model distillation assurance, Lean-backed formal workflows.

Governance: policy bindings, reviewer queues, release gates, authorization, runtime reassessment.

Evidence: signed certificates, hash-chained ledger receipts, retention, legal hold, PDF/JSON exports.

Integration: REST APIs, webhooks, service identities, supply-chain metadata, private deployment.

Evidence example

A release result that shows its work.

The sample is illustrative. It demonstrates the fields and fail-closed posture an evaluator can inspect; it is not a customer endorsement or regulatory approval.

  • Exact policy, model, deployment, and artifact binding
  • Human-review state and release decision
  • Cryptographic hashes and reconstructable ledger receipt
  • Explicit gaps when required evidence is unavailable
Illustrative evidenceRelease Gate: REVIEW
Decision
MS-TRUST-EXAMPLE
Policy
LOAN-001 v4
Evidence
b7f2...0c44
Model
3fd9...772a
Signature
verified
Reviewer
required
Ledger
2ae0...6b18
Outcome
human review

Who MetaSolve is for

Teams that need evidence, governance, and controlled release decisions.

Financial Services

Bind credit, fraud, trading, or underwriting decisions to policy and reviewer evidence.

Government

Evaluate public-sector AI and software workflows with traceable controls and oversight.

Healthcare

Govern clinical decision-support evidence without replacing clinical responsibility.

Critical Infrastructure

Apply fail-closed release gates and artifact provenance to high-assurance systems.

AI Product Companies

Connect model, policy, deployment, and supply-chain evidence before production release.

Risk, Compliance & AI Safety

Review gaps, approvals, evidence lineage, and continuous risk signals in one workflow.

MetaSolve may not be the right fit if:

  • You only need a basic consumer chatbot or generic code linter.
  • You do not require evidence, governance, or release controls.
  • You need instant regulatory certification or guarantees beyond tested scope.
  • You want automation to replace accountable human governance.

Deployment and integration

Evaluate in a controlled boundary, then integrate deliberately.

Start with a scoped workflow and expand only when identity, policy, evidence, deployment, and retention requirements are understood.

Shared SaaS evaluationPrivate cloud patternsOn-premise scopeSovereign environment reviewREST APIs and webhooksCI/CD evidence hooks

Formal Proof Discipline

Trusted kernels, explicit assumptions, reproducible obligations.

Formal evidence is accepted only when the configured trusted kernel verifies the submitted artifact. Assumptions, dependencies, proof obligations, gaps, and semantic human review remain explicit.

Read technical research notes

Representative mappings

Evidence relevant to recognized governance programs.

NIST AI RMFISO/IEC 42001NIST SSDFISO 27001EU AI ActSOC 2 readiness

MetaSolve is designed to support evidence mapping and assessment workflows. It does not certify compliance, guarantee approval, or replace an independent assessor.

View control mapping and Trust Center

Built for Independent Evaluation

Inspect the controls, evidence, and failure behavior.

  • Formal verification workflows
  • Fail-closed release gates
  • Cryptographically traceable evidence
  • Tenant-scoped access controls
  • Repeatable test evidence
  • Controlled pilot support
Illustrative Scenario

Financial Services AI Decision Assurance

  1. AI decision submitted
  2. Evidence and policy bound
  3. Verification executed
  4. Human review required
  5. Release result generated
  6. Ledger receipt created

This scenario illustrates product workflow only; it does not represent a named customer or a regulatory determination.

Packaging

Choose an evaluation path that matches your operating model.

Start with a controlled evaluation and move to regulated or enterprise assurance as governance, scale, and deployment requirements increase.

Free Trial

Free

Best for: initial product evaluation before procurement.

  • 14 days or 10 completed verification tests
  • One governed project
  • Bounded evidence retention
Start Free
Essential

USD $149/month

Best for: consultants, individual professionals, and small internal pilots.

  • 250 decision verifications/month
  • 5 users and 5 projects
  • PDF and JSON evidence export
Select Essential
Professional

USD $599/month

Best for: growing AI teams and controlled production evaluations.

  • 2,500 verifications/month
  • Advanced reviewer workflow
  • Production metadata binding
Request Review
Business / Regulated

USD $1,999/month

Best for: banks, insurers, healthcare, government contractors, and regulated programs.

  • 15,000 verifications/month
  • 3-year evidence retention
  • Continuous verification
Request Regulated Review
Enterprise

Custom contract

Best for: mission-critical, private-cloud, on-premise, and sovereign environments.

  • Private deployment options
  • Custom governance and retention
  • Dedicated support and SLA scope
Request Enterprise Review

Purchasing a plan does not grant certification, regulatory approval, or a guarantee of compliance. Results remain limited to the tested evidence, controls, and declared scope.

FAQ

Enterprise and technical evaluation questions.

How does MetaSolve integrate with an AI or software pipeline?

Through scoped APIs, webhooks, service identities, evidence records, and deployment-specific integration review.

Does MetaSolve replace human compliance review?

No. It provides evidence, policy gates, escalation, and reviewer workflows; accountable legal, clinical, underwriting, audit, and compliance decisions remain human responsibilities.

What happens when verification is incomplete?

MetaSolve fails closed or routes the result to review. Missing evidence is not converted into a passing claim.

Can we evaluate private or open-source models?

Yes. The evaluation scope can include hosted models, internal models, open-source models, software artifacts, policies, and deployment evidence.

Can MetaSolve run in a private environment?

Private cloud, on-premise, sovereign, and hybrid requirements are scoped during enterprise architecture and security review.

Does framework mapping mean certification?

No. Mapping helps organize relevant evidence; it does not constitute independent certification, compliance, or regulator approval.

Choose your next step

Evaluate MetaSolve at the right depth.

Developer

See MetaSolve in Action

Try a limited Code Zone evaluation before creating an account.

Try Code Zone