Enterprise AI Assurance

AI decisions cannot enter regulated workflows on trust alone.

MetaSolve VaaS verifies AI-generated decisions against governed policies, authoritative evidence, formal obligations, and cryptographic audit records. Risk, compliance, and AI safety teams can see what was checked, what passed, what failed, and why it matters before production impact.

Book an Enterprise Verification Review View Pricing Explore API Docs

Evidence-bound Policy-aware Fail-closed Cryptographically signed Continuous verification

AI decision pipeline Live assurance path

AI Response
Claim Extraction
Evidence Binding
Policy Validation
Formal Verification
Risk Score
Trust Certificate
Signed Evidence Ledger

Release posture Policy-bound review

Designed for regulated AI environments

BankingInsuranceHealthcareGovernmentDefenceCritical InfrastructureEnergyTelecommunicationsFinancial Services

The operating gap

Traditional AI governance is not enough for regulated decisions.

High-stakes AI is moving into credit, trading, hiring, medical, and government workflows faster than traditional review programs can govern it. Logs and dashboards can show what happened, but they rarely prove whether a decision was allowed to happen.

AI decisions need governance proof

A credit underwriting AI can recommend approval while missing a lending threshold; teams need proof of the rule check, not just a model log.

Audit trails are incomplete

Activity logs show an answer was produced, but not whether claims were evidence-bound, policy-compliant, and safe to release.

Probabilistic systems need deterministic gates

Monitoring catches issues after the fact; regulated workflows need pre-release checks against hard policy boundaries.

Manual reviews do not scale

Compliance teams are forced to review AI outputs without structured claims, source hashes, policy versions, or reviewer lineage.

Bad decisions are hard to explain

When an AI recommendation fails, teams need to know whether evidence was missing, policy changed, or human approval was bypassed.

MetaSolve converts AI output into governed assurance artifacts.

Platform architecture

An assurance control plane between AI systems and production.

MetaSolve sits between enterprise AI applications and high-impact operating systems, generating evidence, scores, review records, certificates, and ledger receipts before decisions move forward.

Enterprise AI Applications LLMs, agents, decision APIs, internal models

MetaSolve AI Assurance Platform

Hover or focus a module to inspect its role in the control plane.

Production Systems / Regulators / Auditors Release gates, certificates, dashboards, evidence packets

Why MetaSolve

What MetaSolve delivers.

Outcome-focused controls for risk officers, compliance teams, and AI safety labs deploying regulated AI workflows.

Automated compliance checks

Verify AI-generated decisions against policies, evidence, and formal obligations before release.

Audit-ready evidence records

Generate signed trust certificates and cryptographic ledger receipts for auditors and internal risk teams.

Deterministic verification workflow

Move beyond black-box confidence scores with formal verification workflows and fail-closed decision gates.

Governance framework alignment

Designed to support evidence mapping for NIST AI RMF, NIST SSDF, ISO 27001, GDPR, EU AI Act, and SOC 2 readiness.

Integration-ready APIs

REST APIs and webhooks let MetaSolve sit inside existing AI, model governance, and release pipelines.

Enterprise deployment readiness

Supports Azure patterns, Key Vault, Managed Identity, SBOM, SLSA, Cosign, Trivy, Snyk, and CodeQL workflows.

Platform modules

AI assurance control plane components.

AI Trust Gateway

Decomposes AI answers into claims and detects factual, legal, numerical, predictive, and unsupported statements.

Evidence Binding

Links claims to documents, APIs, databases, policy records, financial statements, and human approvals.

Formal Obligation Ledger

Converts unsupported claims into obligations, assumptions, gaps, contradictions, or review items.

Root of Trust

Uses deterministic fail-closed verification gates and a Lean 4 proof workflow before release.

HodgeProof-RH Methodology

Applies proof hygiene, explicit assumptions, no-sorry/no-admit discipline, dependency visibility, and gap maps. It is used as a proof-audit methodology, not as a claimed proof of the Riemann Hypothesis.

Policy Engine

Binds decisions to policy versions, clauses, owners, source hashes, approval states, and review dates.

Risk Engine

Scores evidence quality, regulatory alignment, source reliability, consistency, uncertainty, and missing assumptions.

Continuous Verification

Re-verifies when policy, evidence, model hash, deployment, endpoint, API version, prompt, or documents change.

Trust Certificate Authority

Issues signed certificates with risk score, trust score, evidence hash, policy hash, and ledger hash.

Cryptographic Evidence Ledger

Maintains signed, hash-chained audit receipts with retention, legal hold, and governed deletion metadata.

Runtime Intelligence

Tracks drift, evidence freshness, hallucination risk, anomalies, and continuous risk signals.

Reviewer Workflow

Supports human oversight, dual approval, escalation, comments, and review history.

Enterprise APIs

Provides REST APIs, webhooks, event records, certificate validation, and integration surfaces.

DevSecOps & Supply Chain

Supports SBOM, SLSA, Cosign, Trivy, Snyk, CodeQL, container digest, and build provenance workflows.

AI assurance lifecycle

From prompt to continuous reverification.

Every AI decision moves through four plain-language phases: intake, verification, assurance, and continuous monitoring.

Phase 1

Intake

Captures the prompt, model response, user context, model name, and use case before the answer is trusted.

Phase 2

Verification

Binds claims to evidence, extracts policy obligations, and checks whether the decision crosses governed boundaries.

Phase 3

Assurance

Scores risk, escalates edge cases, and signs a certificate showing what passed, failed, or needs human review.

Phase 4

Continuous Monitoring

Re-checks decisions when policies, evidence, model versions, prompts, endpoints, or deployments drift.

PromptCaptures the original business question, user context, model, and use case.
AI AnswerTreats the model response as a draft decision, not as approved truth.
Atomic ClaimsBreaks the response into specific statements that can be checked one by one.
Evidence BindingBinds each claim to documents, databases, policies, APIs, approvals, or source records.
Formal ObligationsConverts unsupported or policy-sensitive claims into review obligations.
Policy CheckVerifies whether the answer violates governed rules, thresholds, approvals, or restrictions.
Risk ScoreScores the decision based on evidence quality, policy alignment, uncertainty, and missing assumptions.
Human ReviewEscalates edge cases, unsupported claims, or regulated decisions to reviewers.
Trust CertificateSigns the result into an auditable certificate with hashes, scores, and release posture.
Evidence LedgerStores a cryptographic record of what was checked and when.
Runtime MonitoringMonitors drift in models, prompts, policies, evidence freshness, and production behavior.
Continuous ReverificationRe-checks decisions when policies, evidence, model versions, or deployment metadata change.

Major differentiator

Production Binding Contract

Every production AI trust decision can bind to authoritative metadata for policies, models, deployments, supply-chain artifacts, certificates, and secure clocks.

In beta/local mode, missing values may be auto-derived and marked with origin metadata. In production mode, weak or missing authoritative metadata forces a RED release posture.

policy_versionpolicy_ownerpolicy_source_hashdeployment_idapplication_versionendpoint_idmodel_hashcontainer_digestsbom_hashcyclonedx_sbom_hashspdx_sbom_hashslsa_attestation_hashcosign_signature_refin_toto_attestation_hashbuild_provenance_hashmerkle_roottimestamp_tokentransparency_log_refcertificate_transparency_refhybrid_pqc_statussecure_clock_source

Enterprise dashboard showcase

Operational views for assurance teams.

AI Trust Dashboard

Evidence-bound GREEN decision with certificate and ledger hash.

Enterprise Assurance

Policy, model, deployment, and supply-chain metadata in one review path.

Root of Trust Console

Fail-closed proof gate with deterministic verification state.

AI Decision Verification Workbench

Lean 4-backed decision workflow, obligations, and kernel transcript.

Code Review Console

Security findings, control modes, evidence records, and PDF exports.

Evidence Ledger

Signed receipts, retention state, legal hold, and reconstruction path.

Reviewer Queue

Human oversight, escalation, comments, and approval trails.

Runtime Intelligence

Drift, freshness, anomaly, and continuous risk signals.

Governance Crosswalk

Framework mapping for audit and compliance readiness.

Certificate PDF Export

Exportable trust certificate with hashes and release gate.

Industry solutions

Built for high-impact operating environments.

Banking and Credit Underwriting

Evidence-bound AI loan decisions, OSFI/Basel-style governance, and human approval traceability.

Insurance

Claims decision auditing, policy evidence mapping, risk review, and compliance workflow support.

Healthcare

Clinical decision-support governance, guideline evidence binding, and human oversight workflows.

Government

Procurement and policy review, public-sector audit trails, and controlled decision records.

Defence and Critical Infrastructure

Fail-closed gates, provenance, tamper evidence, and secure deployment verification.

Enterprise AI Operations

Model lifecycle governance, runtime drift monitoring, and release readiness gates.

Governance and compliance crosswalk

Governance and compliance crosswalk for regulated AI controls.

MetaSolve supports mapping to governance frameworks. It does not claim official certification or replace formal compliance review.

Control area	NIST AI RMF	NIST SSDF	ISO 42001	ISO 27001	SOC 2 readiness	GDPR	EU AI Act	OSFI	Basel	DORA	PCI DSS	FedRAMP readiness
Evidence binding	Measure	PO	Evidence	A.5	CC2	Records	Traceability	Model risk	Controls	ICT evidence	Audit logs	AU support
Policy traceability	Govern	PS	Policy	A.5	CC1	Lawful basis	Risk mgmt	Governance	Discipline	Policy controls	Governance	SA support
Human review	Manage	RV	Oversight	A.6	CC6	Rights	Art 14	Oversight	Review	Escalation	Review	AC support
Runtime monitoring	Measure	RV	Monitor	A.8	A1	Freshness	Post-market	Monitoring	Risk	Resilience	Detection	SI support
Audit ledger	Manage	PO	Records	A.8	CC3	Accountability	Logs	Audit	Audit	Incident record	10.x	AU support
Cryptographic signatures	Govern	PW	Integrity	A.8	CC6	Integrity	Evidence	Integrity	Controls	Evidence	Integrity	SC support
Supply-chain provenance	Map	PS	Lifecycle	A.5	CC9	Processor	Provider risk	Third party	Vendor	Third party	Software	SA support
Risk scoring	Measure	RV	Risk	A.5	CC3	DPIA support	Risk mgmt	Model risk	Capital risk	ICT risk	Risk	RA support
Incident and retention controls	Manage	RV	Response	A.5/A.8	CC7	Retention	Records	Ops risk	Resilience	Incident	Retention	IR support

Trust certificate demo

Signed certificates for reviewable AI decisions.

Every certificate can carry the decision ID, score, risk level, source hashes, deployment context, signature state, reviewer state, and release-gate outcome.

View Sample Certificate

MetaSolve Trust CertificateRelease Gate: YELLOW

Certificate ID: MS-CERT-20260705-SAMPLE
Decision ID: MS-TRUST-SAMPLE
Trust Score: 84
Risk Level: Human review
Policy Hash: 8ac4...91d2
Evidence Hash: b7f2...0c44
Model Hash: 3fd9...772a
Deployment ID: staging-api-v1
Ledger Hash: 2ae0...6b18
Signature Status: signed
Reviewer Status: pending oversight
Release Gate Decision: requires review

Cryptographic evidence ledger

Tamper-evident receipts for AI assurance artifacts.

The ledger supports hash chaining, Ed25519 signatures, Merkle roots, artifact digests, previous ledger hashes, timestamp tokens, retention policy, legal hold, tombstone hashes for governed deletion, and evidence receipt reconstruction.

Run 148artifact digest
Run 149previous hash
Run 150signature
Run 151Merkle root

Runtime intelligence

Continuous signals after the first approval.

Model driftPrompt driftPolicy driftEvidence freshnessHallucination riskAnomaly detectionTrust score driftContinuous risk scoring

Developer experience

Trust APIs for product teams and platform engineers.

Use REST APIs, webhooks, event records, certificate validation, OpenAPI, and future Python/TypeScript SDKs to embed assurance into model workflows.

curl -X POST https://your-domain.example/api/v1/trust/verify \
  -H "Authorization: Bearer $METASOLVE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Assess this credit decision",
    "answer": "Conditional approval pending human review [SRC-POL-001]",
    "model": "bank-risk-model",
    "use_case": "credit_underwriting",
    "policy_id": "BANK-LOAN-001",
    "evidence_sources": [{"source_id": "SRC-POL-001", "source_type": "policy"}]
  }'

POST /webhooks/metasolve/trust-event
{
  "event": "trust.certificate.created",
  "decision_id": "MS-TRUST-...",
  "release_gate": "YELLOW",
  "ledger_hash": "sha256:..."
}

# Python and TypeScript SDKs are planned integration surfaces.
# Current production path uses REST APIs:
# /api/v1/trust/verify
# /api/v1/trust/reverify
# /api/v1/trust/certificate
# /api/v1/trust/health

Category comparison

From basic AI access to signed assurance.

Capability	Traditional LLM App	AI Gateway	MetaSolve VaaS
Claim extraction	Limited	Sometimes	Built in
Evidence binding	Manual	Partial	Core workflow
Policy version binding	Rare	Partial	Policy-bound
Model/deployment provenance	Limited	Partial	Production binding
Supply-chain attestations	Separate	Separate	Integrated readiness
Signed certificates	No	Rare	Yes
Cryptographic ledger	No	Limited	Hash-chained
Continuous verification	No	Partial	Designed in
Runtime intelligence	Separate	Partial	Trust signals
Formal verification workflow	No	No	Lean 4-backed decision workflow
Human review workflow	Manual	Partial	Reviewer queue
Production fail-closed gates	No	Partial	Policy enforced

Security and deployment

Prepared for Azure-based enterprise deployment.

Deployment readiness includes Azure Container Apps, ACR, PostgreSQL Flexible Server, Storage, Key Vault, Managed Identity, App Insights, Log Analytics, GitHub Actions, SBOM, SLSA, Cosign, Trivy, Snyk, and CodeQL workflows.

GitHub ActionsACRContainer AppsKey VaultPostgreSQLStorageApp InsightsLog Analytics

Resources

Explore the platform.

Platform Architecture API Docs Security Overview Compliance Guide Deployment Guide Evidence Ledger Guide Root of Trust Guide AI Trust Gateway Guide Contact / Demo

Packaging

Pricing for enterprise AI assurance programs.

Commercial terms are confirmed through a security, deployment, and assurance review. Ranges below are planning estimates for buyer qualification.

Evaluation

$5K-$15K/month

For security teams, compliance POCs, and pilot projects.

Single AI decision pipeline
10,000+ decisions/month planning capacity
Trust certificates and evidence ledger
Basic NIST and SOC 2 readiness mapping
Email support
3-6 month pilot agreement

Schedule Demo

Commercial

$25K-$75K/month

For active enterprise AI governance programs.

Multiple governed decision pipelines
1M+ decisions/month planning capacity
NIST, ISO, GDPR, and EU AI Act readiness mapping
Custom policy configuration
Dedicated account manager
REST API and webhook support

Schedule Demo

Enterprise

Custom pricing

For mission-critical, regulated, private, or sovereign operating models.

Private cloud or on-premises deployment option
FedRAMP-level architecture support
HIPAA and SOC 2 readiness support
Custom integrations and SIEM routing
24/7 premium support option
Custom SLA negotiation

Request Quote

FAQ

Enterprise buyer questions.

How does MetaSolve integrate with our AI pipeline?

MetaSolve sits between model output and production workflows through REST APIs, webhooks, and evidence records. Teams can submit prompts, answers, policies, evidence sources, and deployment metadata.

What compliance standards do you support?

The platform is designed to support evidence mapping for NIST AI RMF, NIST SSDF, ISO 27001, SOC 2 readiness, GDPR, EU AI Act, OSFI, Basel, DORA, PCI DSS, and FedRAMP readiness workflows.

How is formal verification different from monitoring?

Monitoring observes behavior after or during execution. MetaSolve adds pre-release decision checks that bind claims to evidence, policies, obligations, risk scores, certificates, and ledger receipts.

Does MetaSolve replace human compliance review?

No. MetaSolve provides assurance evidence, reviewer workflows, escalation, and signed records. It does not replace legal, clinical, underwriting, audit, or compliance approval.

Can we deploy on-premises or in a private cloud?

Enterprise deployments can be scoped for private cloud, on-premises, sovereign, or hybrid requirements after an architecture and security review.

What is the implementation timeline?

Pilots are typically scoped around one governed decision pipeline first. Production timelines depend on policy availability, evidence sources, identity controls, integrations, and deployment boundary requirements.

What happens when verification fails?

MetaSolve fails closed. The decision is blocked or routed to human review, and the evidence record captures what failed, why it failed, and which policy or evidence dependency requires action.

Can MetaSolve work with private or open-source models?

Yes. The assurance layer is model-agnostic and can wrap hosted LLMs, internal bank models, open-source models, risk engines, or AI agents.

Bring verifiable trust to enterprise AI.

Deploy AI with evidence, policy, provenance, human oversight, and cryptographic assurance.

Book Enterprise Demo Talk to an Architect View Architecture

AI decisions cannot enter regulated workflows on trust alone.

Designed for regulated AI environments

Traditional AI governance is not enough for regulated decisions.

AI decisions need governance proof

Audit trails are incomplete

Probabilistic systems need deterministic gates

Manual reviews do not scale

Bad decisions are hard to explain

An assurance control plane between AI systems and production.

MetaSolve AI Assurance Platform

What MetaSolve delivers.

Automated compliance checks

Audit-ready evidence records

Deterministic verification workflow

Governance framework alignment

Integration-ready APIs

Enterprise deployment readiness

AI assurance control plane components.

AI Trust Gateway

Evidence Binding

Formal Obligation Ledger

Root of Trust

HodgeProof-RH Methodology

Policy Engine

Risk Engine

Continuous Verification

Trust Certificate Authority

Cryptographic Evidence Ledger

Runtime Intelligence

Reviewer Workflow

Enterprise APIs

DevSecOps & Supply Chain

From prompt to continuous reverification.

Intake

Verification

Assurance

Continuous Monitoring

Production Binding Contract

Operational views for assurance teams.

AI Trust Dashboard

Enterprise Assurance

Root of Trust Console

AI Decision Verification Workbench

Code Review Console

Evidence Ledger

Reviewer Queue

Runtime Intelligence

Governance Crosswalk

Certificate PDF Export

Built for high-impact operating environments.

Banking and Credit Underwriting

Insurance

Healthcare

Government

Defence and Critical Infrastructure

Enterprise AI Operations

Governance and compliance crosswalk for regulated AI controls.

Signed certificates for reviewable AI decisions.

Tamper-evident receipts for AI assurance artifacts.

Continuous signals after the first approval.

Trust APIs for product teams and platform engineers.

From basic AI access to signed assurance.

Prepared for Azure-based enterprise deployment.

Explore the platform.

Built for enterprise proof-of-value stories.

Pricing for enterprise AI assurance programs.

$5K-$15K/month

$25K-$75K/month

Custom pricing

Enterprise buyer questions.

Bring verifiable trust to enterprise AI.