Exovat

Exovat Limited is a UK technology company developing AI assurance and evidence-based decision systems for regulated and consequential operating environments.

Our principal AI assurance product is Decirance, an open-source framework and working demonstrator designed to help organisations decide whether a specific AI agent should be authorised to operate in a defined context.

AI-agent evaluations, security controls, governance records and operational monitoring frequently produce disconnected evidence. Decirance brings these sources together into a traceable assurance case and a context-bound Deployment Permit. The permit records the agent’s authorised purpose, tools, permissions, operating conditions, evidence, restrictions and accountable human approver.

Decirance’s Assurance Delta capability examines changes to an agent’s model, prompts, tools, permissions, integrations and operating environment. It identifies which assurance claims and evidence remain valid, what requires reassessment and whether the existing permit should continue, become restricted or be suspended.

Exovat is also developing an AI-assisted evidence analysis capability that can extract proposed controls and evidence from technical documents, suggest evidence-to-claim mappings, identify contradictions and generate assurance-test proposals. These outputs remain subject to human review. Final permit decisions are deterministic, explainable and approved by a named accountable person.

The open-source Decirance framework provides transparent schemas, rules, assurance logic and integration interfaces. Exovat’s commercial model will provide managed organisational workspaces, access control, evidence registries, collaboration workflows, signing, monitoring, integrations and sector-specific assurance packs.

Our UK-based multidisciplinary core team includes AI implementation, AI product development, backend engineering, data analysis and project-delivery capability.

For the BridgeAI Deployment Catalyst, Exovat is seeking a UK registered medium or large organisation, or eligible public-sector organisation, preparing to deploy an AI agent in a regulated or consequential workflow. We are particularly interested in clean energy, financial services, health and life sciences, professional services, advanced manufacturing and defence.

The proposed collaboration would validate Decirance using representative organisational evidence, users, systems and workflows, while measuring assurance effort, evidence reuse, change-detection accuracy and readiness for trusted operational deployment.