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[ v4.7· compliance-first ai validation ]

❯ The only AI validation platform that bridges cutting-edge LLMs and enterprise-grade reliability.

Built for VP Engineering and AI platform leads deploying LLMs and multi-agent systems into high-stakes business processes — finance, legal, healthcare, insurance. Domain-specific evals, adversarial red-teaming, and continuous drift monitoring, baked in from day one.

Book a 30-minute assessment→$Read the evaluation framework
# compliance:SOC 2HIPAAISO 27001GDPR
//pillars / lifecycle.coverage03 modules

❯ Three modules. One audit trail.

Evaluation, adversarial probing, and production observability run as a single closed loop — every red-team finding becomes a regression fixture, every drift event reopens the eval suite. No bolt-on tools, no dashboards-of-dashboards.

[01]eval.frameworkCALIBRATED

Domain-grounded evaluation

Ground-truth datasets engineered against your compliance perimeter — not public leaderboards.

Token-level scoring, cohort segmentation, and counterfactual diffs run inside your VPC. Every metric is auditable and traceable to a decision flow your domain experts signed off on.

// methods.exposed
  • token_level_scoring(corpus, rubric)
  • ground_truth_calibration(SME_review)
  • cohort_segmented_eval(by=jurisdiction)
  • counterfactual_diff(baseline, candidate)
→ artifacteval-report-v3.jsonfeeds [02]
[02]redteam.adversarialACTIVE

Red-team before production

Adversarial probing that maps failure modes the way attackers actually think — pre-deployment.

Prompt-injection chains, tool-misuse traces, and PII exfiltration attempts run continuously against staged builds. Findings are reproducible, scored by exploit class, and routed straight into your eval suite as regression cases.

// methods.exposed
  • inject_prompt(chain_depth=4)
  • exfiltrate_pii(canary_dataset)
  • tool_misuse(scope_violation)
  • jailbreak_replay(known_corpus)
→ artifactredteam-findings.sariffeeds [03]
[03]drift.observabilitySTREAMING

Continuous production watch

Drift, regression, and behavioural anomalies caught at request time — not at the next quarterly review.

Per-tenant scorecards, embedding-distance drift detectors, and tool-call shape monitors fire alerts into your existing on-call. Every incident snapshot becomes a fixture replayed in the next eval cycle, closing the loop back to module 01.

// methods.exposed
  • embedding_drift(window=24h)
  • regression_replay(fixtures)
  • tool_call_shape(schema_v2)
  • tenant_scorecard(p50, p95, p99)
→ artifactops-stream.ndjsonloop
$testml lifecycle --statusartifacts signedSOC 2 Type II · HIPAA · ISO 27001exit 0
#section(03) ── trusted_in_production● 34 enterprise tenants · region(global) · v2.4.1

❯Deployed in regulated environments where every inference is auditable, attributable, and reviewable.

TestML sits in the production path for finance, healthcare, legal and insurance teams shipping LLMs and multi-agent systems into high-stakes workflows — under SOC 2, HIPAA, and GDPR controls.

01sectorlive

FINANCE

x12institutions
  • Tier-1 banks
  • Asset management
  • Capital markets
MNPI redaction validated
02sectorlive

HEALTHCARE

x06systems
  • Provider networks
  • Diagnostics
  • Clinical trials
HIPAA . BAA attested
03sectorlive

LEGAL

x09firms
  • Litigation review
  • Contract analysis
  • Compliance ops
Privilege-aware eval
04sectorlive

INSURANCE

x07carriers
  • Underwriting
  • Claims triage
  • Fraud detection
PII redaction enforced
#complianceSOC 2 TYPE IIHIPAAISO 27001GDPRCCPA│build:7a3e9f1·2026-04-28
# field-report/customer:lattice-federal-health/deployed:prod · 2026-Q1Verified deployment
Before TestML, every model release was a six-week compliance scramble. Now we ship red-teamed, audit-ready agentsin nine days, and the SOC 2 evidence pack generates itself on every deploy — no Friday-night spreadsheet drills, no surprise findings in the next external review.Their adversarial sweeps catch failure modes our internal evals never surfaced. It’s the first vendor a regulator has actually thanked us for choosing.
Priya RaghavanVP, AI Platform Engineering · Lattice Federal Health
✓Signed & attestedsig:0x7af3…e21c
Time-to-production3.8×fasterSix weeks → nine days, model select to prod release.
Audit coverage100%SOC 2 / HIPAA evidence auto-generated per release.
Drift events0in 14 monthsZero post-deploy regressions reaching customer traffic.
$./assessment.run --duration=30m --format=technical --pricing=off
q2 slots open

Bring your hardest failure mode.

Thirty minutes with a TestML engineer — not a sales rep. We sit with your VP Eng or platform lead, run a real production model through the failure surface that off-the-shelf leaderboards never surface — multi-agent coordination breaks, prompt-injection vectors, drift signatures, HIPAA / SOC 2 gaps — and you leave with a ranked list of measurable risks. No deck. No NDA theatre.

Book a 30-minute assessment[ View the evaluation framework ]
# complianceSOC 2 · HIPAA · ISO 27001
# scopeLLM · multi-agent · RAG
# datanever trained on yours
# build8a1f2c · 2026-05-02