Every product requirement, data mapping rule, and piece of system knowledge — captured, structured, and always current. Knowledge Base is where quality intelligence starts — the memory layer underneath the rest of the T-Sigma Suite, so what your domain experts, business analysts, and engineers know doesn't leave when they do.
T-Sigma Knowledge Base captures every product requirement, data mapping rule, and piece of system knowledge into a living, queryable knowledge graph. It helps draft consistent user stories and steering docs for code generators, and integrates natively with Azure DevOps, Jira, GitLab, and GitHub.
Every organization has one or two people who "just know" why a system works the way it does — which regulatory clause drove a validation rule, which legacy field maps to which new one, why a test was written the way it was. That knowledge normally lives in spreadsheets, Slack threads, and memory. It doesn't survive a resignation, a reorg, or eighteen months.
Knowledge Base exists to make that knowledge structural instead of tribal — captured once, connected to the systems and requirements it relates to, and queryable by anyone on the team (and by the rest of the T-Sigma Suite) going forward.
Knowledge Base captures every product requirement an organization accumulates — not just the regulatory ones. Regulatory obligations are captured and traced the same way any other requirement is: as one kind of requirement among many, not a separate silo that needs its own monitoring system.
Knowledge Base helps teams draft new user stories that stay consistent with what's already captured, catching contradictions before they ship. It also produces steering documents used to instruct AI code generators — so generated code stays aligned with the requirements already on record.
Knowledge Base isn't a destination you have to remember to visit. It integrates with Azure DevOps, Jira, GitLab, and GitHub, so captured knowledge stays attached to the tickets, stories, and repositories your team already lives in.
Underneath the integrations sits a purpose-built schema designed specifically for organizational knowledge capture — requirements, regulations, data mappings, and the relationships between them, structured so they can be queried and reasoned over, not just searched by keyword.
A wiki stores documents. It doesn't know how they relate to each other, and it goes stale the moment someone stops updating it.
Knowledge Base structures knowledge into a queryable graph, connected to every requirement your teams capture and your actual DevOps tools — so it stays current by design.
Most engagements begin by ingesting existing documentation, tickets, and requirements — so Knowledge Base starts useful on day one instead of waiting for a knowledge base to be built from scratch.
New user stories are drafted and checked against what's already captured — so teams don't ship requirements that quietly contradict an existing one.
Ask a question in plain language and get back the exact requirement, regulation, or data mapping that answers it — not a keyword-matched document list.
Requirements, regulations, and data mappings stay connected to the Azure DevOps, Jira, GitLab, or GitHub tickets your team already works in every day.
Start by connecting your existing documentation, tickets, and requirements — see what Knowledge Base surfaces in the first week.
See Knowledge Base in ActionKnowledge Base feeds Test Studio's agents the regulatory and system context they need to generate coverage that reflects what actually matters.
Knowledge Base keeps your regulatory context current. Attest independently certifies the AI agents built on top of it — behavior, safety, and regulatory fit.