Independent AI evaluation and certification

Five independent validators.
Causal decomposition.
Prescriptive remediation.

Independent consulting auditors provide rigorous evaluation, but require weeks per engagement and deliver findings without root cause or a fix. Governance platforms offer software tools, but the vendor selling the software also evaluates your compliance. AVAAS is structurally independent, decomposes every finding to the specific variables driving it, and prescribes exactly how to fix it. This page explains the technical pipeline from submission to certification.

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PIPELINE SPECS
Independent validators5 models
Verification latencyPer-request
Deployment verificationSealed at certification
ConsensusIndependent multi-validator
DecompositionPer-variable causal
OutputCause + fix + projection
THE CORE DIFFERENCE

Other platforms monitor what your AI outputs.
AVAAS verifies what your AI is.

Governance platforms sell you the software and then evaluate your compliance with it. That is not independence. Consulting auditors are genuinely independent, but deliver findings without root cause analysis or a prescriptive fix. AVAAS is structurally independent, tells you which specific variable caused each finding, and prescribes the exact engineering fix with projected improvement.

REACTIVE MONITORING · GOVERNANCE PLATFORMS
Detects drift days or weeks later.
Someone swaps the model → metrics look normal for weeks
System prompt is modified → satisfaction scores improve — shows green
RAG index contaminated → errors below statistical threshold — invisible
3rd-party model updated → same endpoint — cannot detect at all
Safety filters lowered → looks positive — false refusal rate drops
Asks: "Is the AI behaving well?" — but can't tell you if the AI itself has changed.
PROACTIVE VERIFICATION · AVAAS
Catches changes on the next request.
Someone swaps the model → canary probes detect on the next request
System prompt is modified → change detected instantly
RAG index contaminated → change detected immediately
3rd-party model updated → change detected regardless of source
Safety filters lowered → any configuration change is detected
Asks: "Is this still the same AI that was certified?" — with cryptographic proof.
Per-request
Sealed deployment verification
sealed
Model · Prompt · RAG · Tools · Safety · Infra
Zero trust
Separate infrastructure, can't self-influence
What makes AVAAS different

They watch what your AI does. We verify it's still the same AI that was certified.

Governance platforms like Credo AI, Holistic AI, and OneTrust sell software to the companies they evaluate — creating a structural conflict of interest. Consulting auditors like BABL AI and ORCAA provide genuine independence but deliver bespoke engagements that take weeks. AVAAS combines structural independence with scalable, patent-protected evaluation technology delivered through a streamlined engagement process.

01 · DEPLOYMENT INTEGRITY

Certification means right now — not last quarter.

We seal your complete deployment stack at the time of certification. If your model is updated, your prompt is changed, or your retrieval index is swapped, the seal breaks and re-evaluation is required before the modified system can carry an active certification. Your certification report documents exactly what was evaluated and when.

Sealed deployment · Certification-bound verification · Tamper-evident
02 · STRUCTURAL INDEPENDENCE

Five validators with no commercial interest in the outcome.

Other platforms evaluate your AI using their own proprietary system — the company selling governance is grading the test. AVAAS uses five structurally independent validators with independent consensus. The evaluator is structurally unable to influence its own scores. That's the independence regulators and customers require.

5 models · separate infrastructure · independent consensus
03 · CAUSAL DECOMPOSITION

Not just a score — a diagnosis and a prescription.

We isolate which variables cause each finding, detect cohort-level patterns, and deliver remediation with projected improvements. Other platforms tell you something is wrong. We tell you exactly what caused it and how to fix it.

Score → Cause → Remediation → Projected improvement
Evaluation process

Submission to certification in four steps.

Your AI system's outputs are evaluated by five structurally independent models with full causal decomposition.

01

Submit and seal

Provide input-output data. We create a sealed deployment baseline verified throughout the certification period.

02

Independent evaluation

Five AI models — each on separate infrastructure with distinct architectures and training data — independently score your outputs across five compliance dimensions.

03

Diagnose and prescribe

Scores are aggregated via independent consensus, then decomposed into causal findings: which inputs drive deviations, what cohort patterns exist — and specific remediation steps with projected score improvements for each.

04

Certify and monitor

Digitally signed certification with decomposed findings mapped to all applicable regulations — US state laws, EU AI Act, GDPR, and international frameworks. Sealed deployment verification maintains integrity for the full validity period.

Evaluation pipeline — five independent validators, independent consensus, causal diagnosis, and remediation
INPUT/OUTPUT Customer AI pairs VERIFICATION Fingerprint verify Per-request VALIDATOR 1 Constitutional compliance VALIDATOR 2 Value alignment VALIDATOR 3 Manipulation detection VALIDATOR 4 Behavioral consistency VALIDATOR 5 Harm avoidance CONSENSUS CONSENSUS Fault-tolerant DIAGNOSE Delta analysis causal attribution Cohort patterns Remediation steps CERTIFIED Digitally signed Art. 9–15 mapped 0.91 Separate hardware · Separate architecture · Separate training data
INPUT / OUTPUT
Customer AI pairs submitted for evaluation
VERIFICATION
Fingerprint verification
Per-request
VALIDATOR 1
Constitutional
VALIDATOR 2
Value alignment
VALIDATOR 3
Manipulation
VALIDATOR 4
Behavioral
VALIDATOR 5
Harm avoidance
INDEPENDENT CONSENSUS
Fault-tolerant aggregation
DIAGNOSE & PRESCRIBE
Delta analysis · causal attribution · Cohort patterns
Remediation steps with projected improvements
CERTIFIED
Digitally signed · All regulations mapped
0.91
How AVAAS fits

You've built governance. Now prove it works.

AVAAS is the independent evaluation layer that completes your compliance program.

Your AI governance process
PHASE 1
Build governance
Inventory AI systems, classify risk levels, create policies, build documentation
Credo AI · Holistic AI · OneTrust · IBM watsonx
PHASE 2
Internal assessment
Test for bias, validate accuracy, conduct risk assessments, document compliance
Your engineering + compliance team
PHASE 3 · AVAAS
Independent proof
Structurally independent evaluation with causal decomposition, sealed deployment, and verifiable certification
The evidence your customers and regulators ask for
OUTCOME
Compliant and credible
Regulatory conformity with independently verified evidence suitable for regulators across 4 continents — US, EU, UK, and Asia-Pacific
EU AI Act · LL144 · Colorado · SR 11-7 · Texas · California · Illinois · GDPR · UK · South Korea · China · Brazil · Canada
Governance platforms help you build compliance (reactive monitoring). AVAAS provides proactive independent proof that it works.
CapabilityYour governance platformYour internal teamAVAAS
AI system inventory and shadow AI discovery
Risk classification and policy management
Output monitoring and drift detection (reactive)
Compliance documentation and audit artifacts
Structurally independent evaluation (5 models, independent consensus)
Proactive deployment integrity verification
Causal decomposition with causal attribution
Remediation recommendations with projected improvements
Third-party verifiable sealed certification

Ready to see AVAAS evaluate your system?

Submit your AI system's input-output pairs. Five independent validators. Causal decomposition. Prescriptive remediation. Results mapped to every regulation that applies to you.

Request evaluation
Or email team@avaas.ai