Knowledge Base™, Test Studio™, and Attest™ — one AI-native platform that captures every requirement, generates and maintains your test coverage from it, and independently certifies the AI agents you build or deploy. Built for regulated industries that need proof, not just passing tests.
Knowledge Base is the memory layer. Test Studio and Attest both draw on it — one for your software's test coverage, the other for the AI agents running on top of it.
Every product requirement, data mapping rule, and piece of system knowledge — captured, structured, and always current in a living, queryable graph.
Generates test scenarios, cases, and data from the Knowledge Base graph, then converts them into automated scripts on Playwright and Selenium.
Independent certification for the AI agents you build or deploy — 15 dimensions, 3 tiers, a verifiable and time-boxed certificate.
Knowledge Base ingests every product requirement, data mapping rule, and piece of system knowledge into a living, queryable graph — and helps draft new user stories that stay consistent with what's already there.
Test Studio generates test scenarios, cases, and data from that graph, determines regression impact against existing coverage, and converts everything into automated scripts.
Where AI agents are involved, Attest independently assesses them in a sandboxed environment across 15 dimensions in three tiers, issuing a scoped, time-boxed certificate.
Every release carries generated test coverage, a documented regression-impact analysis, and — where agents are involved — an independent Attest certificate as evidence, not reassurance.
Most organizations' real product knowledge lives in the heads of a few senior people, scattered across tickets, and half-written in old specs. Knowledge Base captures every product requirement, data mapping rule, and piece of system knowledge into a single, purpose-built, queryable graph — not a wiki, not a shared drive, a structure that understands how requirements, regulations, and data mappings relate to and trace to one another automatically.
Knowledge Base isn't limited to compliance documentation. It captures the full body of product requirements an organization accumulates — regulatory obligations included, but as one kind of requirement among many, not a separate silo.
Knowledge Base helps teams draft new user stories that stay consistent with what's already captured, and can generate steering documents used to guide AI code generators — so new work doesn't quietly contradict an existing requirement.
Test Studio interfaces directly with Knowledge Base and your DevOps tools, importing user stories from Azure DevOps, Jira, GitLab, or GitHub as input. From there it generates test scenarios, test cases, and test data, and works with Knowledge Base to determine exactly what a given change affects — so regression coverage targets what changed rather than re-running the full suite every time.
Generated cases convert into automated test scripts through an inbuilt framework built on Playwright and Selenium — one spec, multiple stacks. Test Studio doesn't execute performance tests today, but it can generate performance test scenarios using the same knowledge-graph context it uses for functional coverage.
Attest is a separate, independent certification service for the autonomous AI agents you build or deploy — not a test-coverage tool. Every assessment runs against a scoped, time-boxed sandbox endpoint using synthetic data, never production, with every irreversible action routed to a mocked tool layer.
Agents are evaluated across 15 dimensions in three tiers — capability & correctness, robustness/safety/security, and operational & governance — and issued a Pass, Conditional, or Fail verdict. Any Tier-2 safety-dimension failure caps the overall verdict at Conditional, regardless of task-success score: a capable agent that can be manipulated into an unauthorized action does not pass on capability alone.
A certificate is scoped to a named agent version, a named use case, and a specific assessment window — it voids automatically the moment the underlying model or prompt changes.
EU AI Act · NIST AI RMF · ISO/IEC 42001 · DPDP
T-Sigma was built around agentic orchestration from the first line of code, not retrofitted onto a record-and-playback tool with a chatbot added on top.
Attest's certification is independent of the agent it evaluates — evidence your risk committee and auditors can rely on, not vendor reassurance.
Knowledge Base, Test Studio, and Attest share one graph and one platform — not three vendors and five dashboards stitched together with a spreadsheet.
Every capability exists because a client in financial services, insurance, or credit unions needed exactly that — not because a feature roadmap called for it in the abstract.
T-Sigma covers the AI development lifecycle end to end — requirement and knowledge capture, agentic generation of coverage, and independent certification before an agent ships — not just test execution against finished code.
Where quality evidence has to satisfy both engineering standards and external auditors.
Core banking, payments, and claims management systems where a regression escape is a customer-facing incident and an audit finding at the same time.
Policy administration, underwriting, and claims platforms where Attest certifies claims intake and triage agents before they touch a real claim.
Trading, settlement, and asset management platforms where downtime and data integrity failures carry immediate regulatory consequences.
Institutional testing and compliance knowledge captured into a living system that survives staff turnover, a chronic pain point for smaller institutions.
More questions? See the full T-Sigma FAQ →
A scoped, time-bound engagement against one real workflow — not a generic demo. Tell us where you're starting and we'll take it from there.
Every engagement can begin with a zero-commitment T-Sigma readiness assessment — no pressure, no obligation.