AI ASSURANCE
The AI testing market has a quality problem.
Every enterprise is shipping AI. Almost none are testing it.
Sau5 closes that gap in four weeks, across five domains.
Every enterprise is shipping AI. Almost none are testing it.
Sau5 closes that gap in four weeks, across five domains.
A 5-domain, 4-week structured assessment of any RAG system. Findings report, remediation roadmap, and a repeatable eval harness the client keeps and runs themselves.
4-Week EngagementTrained QA engineers embedded directly into client teams. Onshore and offshore talent available — every engineer operates to the same Sau5 quality standard, with no ramp on your stack.
Embedded DeliveryA 5-domain curriculum for QA engineers with no prior AI testing experience. Used internally to train our own people, and sold as a client deliverable.
CurriculumIs the correct content being surfaced? Foundation layer — everything downstream depends on it.
Faithfulness scored via NLI + LLM-as-judge. Every claim must trace to retrieved source.
Three-stage pipeline: NLI → LLM-judge → atomic claim decomposition. Five hallucination types tracked.
Injection, jailbreak, boundary and PII canary tests. Run in an isolated environment with written client authorisation.
Python harness, regression detector, golden dataset versioning, and CI/CD configs the client keeps and runs.
The 5-domain RAG Assessment framework is built in code and documented in full. Nothing about the engagement is improvised, and the same framework runs on every client.
Every engagement is scoped the same way — 5 domains, 4 weeks, a defined deliverable. No time-and-materials, no scope creep, no surprise invoices at the end.
Sau5 operates as a global brand from day one. Engagements run in English or Spanish, against any RAG stack, in any regulatory environment, without a regional setup phase.
Every Sau5 engineer completes the 5-domain curriculum before working on a client engagement. Productive from week one — no 3–6 month ramp, no learning on your stack.
No general software QA. No project management. No side practices. Every engagement compounds our depth in one discipline — and that depth shows up in the findings.
SME-reviewed Q-A-context records, versioned and refreshed every 60 days or whenever your KB changes. Yours to extend and re-run forever.
At handover the Python runner, regression detector and CI/CD configs are yours. Zero ongoing dependency on Sau5 to keep testing.
CI/CD gates fire on every commit. Regressions are caught automatically. Testing becomes part of how you ship, not a one-time event.
The harness is yours. Add a quarterly or half-yearly subscription and Sau5 keeps catching regressions, retraining your team, and testing each release before it ships.
There's a widening gap between how fast enterprises ship AI and how rigorously they test it. Untested systems put wrong answers in front of customers — and the cost shows up as refunds, regulatory exposure, lost trust, and brand damage that should have been caught before launch.
Sau5 exists to close that gap. The same engineering discipline that ships safe software every day, applied to the new failure modes AI brings with it.
25+ years in software testing across large organisations in retail, transport and insurance. Founded Sau5 to bring the same engineering discipline to AI quality.
Every Sau5 finding ties to a defined metric, a defined threshold, and a defined test method. No subjective pass/fail. No vibes-based audits.
The eval harness, the dataset, and the methodology runbook all leave the engagement with the client. Sau5 succeeds when the client can re-run the tests without us.
No general software QA. No side practices. The depth that produces good findings is the depth that comes from running the same kind of assessment, over and over again.
Slots are limited. Join the waitlist to hear directly from Sau5 ahead of public availability.