Grounded generation
Every test artefact traces back to a source document. No hallucinated test cases.
Three productised platforms — agentic test automation, AI-readiness, and an enterprise control plane — engineered to bring AI into operations with the rigour to run at scale.
Agentic Test Automation · Powered by AIFT
Understand. Design. Execute. Three stages, every output reviewable, every step backed by evidence.
Ingests requirements, design docs, change tickets — and the system's own source code — and produces a structured map of what to test and the risk shape behind it.
Converts the map into a reviewable test plan and detailed, executable test cases — scoped, sequenced, with expected outcomes and edge cases — anchored back to the source.
LLM-vision-assisted reasoning drives the application — modern web or legacy Windows-style UI alike — captures structured evidence, and validates outcomes against business rules.
Capabilities
Every test artefact traces back to a source document. No hallucinated test cases.
Reviewer gates at every stage. The platform never executes without human approval.
Vision-assisted reasoning adapts to UI changes. Brittle locator scripts are eliminated.
Screenshots, logs, validation outcomes — the audit trail is part of the deliverable.
Outcomes
From days to hours. QA effort moves from drafting and clicking toward judgment and exception handling.
AI-Readiness · Enterprise Knowledge Platform
Ingest. Curate. Structure. Ground. Govern. Built for enterprise scale, with security and compliance fulfilled by design.
Connects to SharePoint, Confluence, network shares, ticketing, CRMs, knowledge bases. Handles PDFs, Word, slides, structured data, audio transcripts.
Deduplicates, version-resolves, removes stale content. Classifies sensitive data. Routes confidential material through approved-access paths only.
Extracts entities, relationships, ontologies. Builds knowledge graphs where domain shape matters. Decomposes long documents into retrievable units with preserved context.
Produces high-quality, retrieval-ready knowledge — vector indexes, knowledge graphs, decision rule sets, structured SOPs. Every artefact traces back to its source.
Enforces access policy, retention, residency. Every retrieval is logged. Every artefact carries its provenance. Compliance-grade audit trails by default.
Capabilities
Built to process knowledge at organisation scale — not a desktop RAG tool.
Identity, access control, audit, residency, encryption — not bolted on.
Beyond vector retrieval — entities, relationships, and decision rules.
One investment in AI-readiness; many agents and applications consume it.
Outcomes
Stop building per-project data pipelines. Build one ground truth that every agent uses.
Enterprise Control Plane · Policy · Audit · Identity · Token · Model
The agent layer needs the same discipline as the rest of the enterprise stack. ASTRA Gate is how you give it that discipline.
Declarative rules that bound what agents can do, what data they can touch, what they can say back. Enforced at request time, not after the fact.
Every prompt, every response, every tool call, every retrieval — logged with full lineage. The audit trail compliance has been asking for.
Agents inherit user identity through SSO. RBAC at the agent layer. No more shared service accounts.
Every call routed to the right model for the job. Per-team / per-use-case spend caps. Real-time cost visibility.
Vendor-neutral orchestration across hosted and self-hosted models. Model decisions are configuration, not code.
Capabilities
Unified control plane — identity, policy, audit, token, model — in one place.
Pre-flight, not post-mortem.
Switch models without rewriting agents.
Token spend attributable to its actual purpose, not a mystery line on the AWS bill.
Outcomes
Stop re-implementing identity, logging, and policy in every agent.
Sold separately. Composed together. A typical enablement engagement sequences them: Forge makes knowledge ready, QA validates each release, Gate keeps the running system inside policy and within budget.
Tell us about the agent system you're building, the QA cycle you need to compress, or the policy layer that's missing. We'll respond with a starting scope.