1000 Hours Testing
Smarter Testing. Safer AI.
A deep, end-to-end test program that puts your AI through real conditions—so you know how it behaves before the market does.
About 1000 Hours Testing
This service is for teams that need hard evidence, not hopeful assumptions. We design a test plan around your systems, data, and risk profile, then run structured, repeatable tests across models, pipelines, interfaces, and operations. You get plain-language findings, a prioritized fix list, and re-tests to verify closure.
Where it fits
Pre-deployment validation, post-incident review, major version changes, procurement or regulatory milestones.
Who it serves
Product owners, data science and MLOps teams, security and risk leaders, compliance and audit.
Services
Seven lenses that expose failure before customers do
Bias & Fairness Testing
We check whether outcomes disadvantage protected or vulnerable groups. That includes subgroup performance, outcome disparity, calibration, and unintended proxies in features or prompts. You see where gaps exist and what to change.
Safety & Risk Assessments
We red-team misuse scenarios relevant to your domain—fraud assist, harmful content, policy bypass, sensitive data exposure—and map mitigations to specific controls. Findings are ranked by impact and likelihood.
MLOps Pipeline Testing
We test the pipeline itself: data lineage, versioning, CI/CD for models, access controls, secrets, rollbacks, canarying, and monitoring signals. The goal is simple: models move forward only when controls move with them.
Model Functional Testing
We validate that the model does what it claims to do across representative data and clear acceptance criteria. Classification, ranking, generation, retrieval—measured under normal and degraded inputs, with repeatability.
Performance Benchmarking
We measure speed, accuracy, throughput, cost, and stability across realistic loads and datasets. You see trade-offs and ceilings, and you choose settings based on evidence rather than guesswork.
Prompt & LLM Testing
For LLMs and agents, we test prompt injection, jailbreaks, data leakage, role and tool abuse, citation quality, refusal consistency, and guardrail coverage. We also assess disclosure patterns users actually understand.
Stress & Edge Case Testing
We push systems past comfort: rare inputs, adversarial noise, distribution shift, multilingual and code-switching, long-tail entities, and ambiguous cases. This is where brittle behavior shows up before it becomes a headline.
Ready to proceed?
Speak to our consultants for a tailored scope and quote.
Why teams choose 1000 Hours Testing
Evidence that stands up
Reproducible tests, clear metrics, and artifacts an auditor, buyer, or board can understand.
Built with your stack
We test models, data, prompts, tools, and pipelines you actually run—no generic labs, no toy datasets.
Fixes that close gaps
You get a short, ordered list of actions with owners and timelines, plus re-tests to confirm closure.
Outcomes from recent engagements
Case Studies
01
Payments — Fraud and KYC
Prompt-security and fairness gaps surfaced in week one; after fixes and re-test, false-positive rates dropped while true-positive coverage improved.
02
Healthcare — Decision support
Edge-case testing exposed stability issues on low-resource inputs; model and pipeline changes reduced error variance and improved clinician trust.
03
Public services — Citizen portals
Compliance audit and stress testing produced stronger disclosures, better monitoring, and cleaner incident handling—approved for rollout.
04
Retail — GenAI customer support
Injection testing and guardrail tuning cut unsafe responses; response quality and cost were re-balanced with measurable gains.
Pricing
Programs are scoped to your systems, risks, and timelines.
Contact our consultants for a proposal.
Book a scoping call
We’ll align on objectives, systems in scope, and the most valuable tests to run first.
Why this helps:
- Clear scope
- Realistic timelines
- No-nonsense prep checklist
O1
Discover & Plan
Agree on systems, risks, and evidence required. Finalize the test plan and data needs.
O2
Execute & Report
Run tests, review results with owners, deliver findings and a prioritized fix list.
O3
Verify & Strengthen
Re-test to confirm closure, tighten monitoring, and set the cadence for ongoing assurance.