Solutions · Production AI testing

Four control surfaces for production-grade AI agents.

TestML closes the gap between LLM capability and enterprise production requirements: domain-calibrated evaluation, continuous adversarial coverage, drift telemetry, and audit lineage your assessor already accepts. No staffing, no marketing benchmarks — methodology and tooling that transfer.

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// 01 · The four pillars

Each surface ships as code, signed corpora, and an audit artefact — not a slide.

Every pillar maps to a concrete failure mode we have reconstructed from production incidents in regulated industries. Read each one against the system you ship today.

S-01Production-ready

Domain Evaluation Suites

Generic benchmarks reward fluency. Production rewards correctness under your auditor's rubric.

We build versioned, replayable test sets for each business-critical surface — legal precedent retrieval, clinical decision support, financial reasoning, technical retrieval. Every prompt is reviewed by a domain expert and traceable to the rubric that produced it.

  • Custom rubrics calibrated to internal QA thresholds
  • Versioned corpora with reviewer signatures and provenance
  • Counter-factual prompts surfaced from production telemetry
  • Replay across model upgrades without rewriting the suite
Coverage1,284 prompts / domain
Reviewer SLA48h reproducibility
S-02Production-ready

Adversarial Red-Team Coverage

A jailbreak that ships unflagged becomes a breach notification two sprints later.

Continuous adversarial probing across staging and production endpoints — jailbreaks, prompt injection, data-exfiltration, role-collapse, and toxicity. The attack corpus refreshes weekly from disclosed CVE-style vectors and your own telemetry; every regression becomes a permanent test.

  • 28,400+ jailbreak vectors maintained and re-graded
  • Prompt-injection canaries seeded inside RAG context
  • Exfil simulation across tools, retrievers, and memory
  • Role-collapse and persona-erosion regression tests
Corpus refreshWeekly
Time to signalT+0, not T+42d
S-03Production-ready

Drift & Regression Detection

Provider-side weight refreshes are silent. Your monitors should not be.

Statistical monitors over output distributions, latency envelopes, refusal rates, and cost-per-token. We catch the silent 4% pass-rate erosion before a sales engineer screenshots it on a customer call. Alerts route to the on-call channel that already owns the surface.

  • Embedding-distribution shift across rolling windows
  • p95 / p99 latency creep with seasonality controls
  • Refusal-rate inversion and over-refusal regressions
  • Eval-pass-rate erosion segmented by tenant and domain
Checks / day1.2M across tenants
Alert latencySub-minute median
S-04Production-ready

Compliance & Audit Lineage

Reconstructing chain-of-custody during an assessment costs more than the original engagement.

GDPR, HIPAA, and SOC 2 control mappings with traceable artefacts for every inference — prompt, retrieved context, model, parameters, decision, reviewer. Audit packs export in the format your assessor already expects: signed, time-stamped, and aligned to control IDs.

  • Per-inference lineage: prompt → context → model → output
  • Control-ID mapping for SOC 2, ISO 27001, HIPAA, GDPR
  • Reviewer attestations bound to immutable hashes
  • Export packs preformatted for your assessor's intake
Retention7-year tamper-evident log
Latency overhead+4ms p95

// 02 · How an engagement runs

Five phases. Methodology transferred. No staffing dependency at the end of the rotation.

We run the same shape whether you are validating a single model or orchestrating a multi-agent system across domains. Timelines compress for narrower scopes.

  1. 01

    Production review

    We map the agent surface — entry points, retrievers, tools, downstream effects — against the regulatory and quality risks specific to your workflow. Output: a written threat model and an evaluation plan, not a slide deck.

    Week 1
  2. 02

    Suite construction

    Domain experts and our prompt engineers co-author the evaluation corpus. Every test case is signed, hashed, and reproducible. We replay it against your candidate models, baselines, and a control fork.

    Week 2 – 4
  3. 03

    Adversarial pass

    Red-team coverage runs in parallel — jailbreak, injection, exfil, role-collapse. Findings are filed as permanent regressions, not one-off reports. The attack surface is encoded into the suite, not stored in a PDF.

    Week 3 – 5
  4. 04

    Production cutover

    We instrument drift monitors, latency envelopes, and audit lineage in your runtime. The suite shifts from offline to online. Your on-call team owns the alerts; we own the methodology.

    Week 5 – 8
  5. 05

    Quarterly recertification

    Every quarter the suite is re-graded against current models, the red-team corpus is refreshed, and the audit pack is re-issued. No regression slips between assessments — it is caught the day the weights change.

    Ongoing

// 03 · Domain coverage

Suites calibrated to the failure modes your auditors look for, not the ones the leaderboard rewards.

Each domain ships with a curated test corpus, a reviewer attestation chain, and a regression catalogue scoped to the regulatory primitives that govern the surface.

Legal & contracts

Daubert-aware retrieval
  • Citation hallucination
  • Privileged data leakage
  • Jurisdiction conflation

Clinical decision support

HIPAA-aligned reasoning
  • Off-label inference
  • PHI surfacing in prompts
  • Refusal-rate inversion

Financial reasoning

Numerical & regulatory
  • Calculation drift
  • MNPI handling
  • Counterfactual stress

Technical retrieval

RAG-grounded factuality
  • Stale-doc grounding
  • Snippet hallucination
  • Tool-call misuse

// 04 · What we are, what we are not

We transfer methodology and tooling. We do not staff, recommend, or train on your prompts.

Worth being explicit, because the AI services market conflates these. A short list, written so a procurement reviewer can read it cold.

// We do

Methodology and tooling we transfer to your team.

// We do not

A staffing pool that disappears after the kickoff.

// We do

Domain-specific evaluation, signed and reviewable.

// We do not

Marketing-grade benchmarks that reward fluency.

// We do

Production-first: drift, audit, and recertification.

// We do not

One-off reports that go stale on the next weight refresh.

// We do

Zero data retention; your prompts never train a model.

// We do not

Free-tier tools that quietly mine your traffic.

Ship the agent. Keep the audit. Recertify every quarter.

A 30-minute production review maps your current surface to the four pillars, surfaces the highest-severity drift you do not yet monitor, and outputs a written threat model — not a pitch deck.

Book a production reviewRead the methodology
  • Threat model written, not slidewared, against your live agent surface
  • Top-three regression candidates surfaced from public-corpus replay
  • Compliance gap-list mapped to SOC 2, HIPAA, and GDPR control IDs
  • Recommended evaluation suite scope and reviewer staffing