resaro.ai provides an AI validation platform that generates deployment evidence for mission-critical systems in defense, government, and critical infrastructure. The platform runs TEVV workflows, produces ASQI-structured evidence, and supports continuous evaluation throughout the AI lifecycle. It helps leadership teams make informed deployment decisions by clarifying where AI systems perform reliably and under what conditions.
Funding
Funding not disclosed
Founders
Product
Problem
There is a gap between AI that performs well in laboratory settings and AI that holds up under real-world operational conditions. This discrepancy creates uncertainty for organizations that need to field AI systems in mission-critical environments, where failures carry significant consequences. Without structured evidence, leadership teams lack the information needed to make confident deployment decisions.
Solution
resaro.ai offers the Approved Intelligence Platform (AIP), which enables organizations to run Testing, Evaluation, Validation, and Verification (TEVV) workflows and produce ASQI-structured deployment evidence. The platform allows users to configure scenario-specific synthetic data and AI test packages tailored to their operational domain, then run these workflows directly in their own environment. AIP provides granular evidence of system performance, degradation points, and underlying causes, structured for engineering teams to interrogate and act upon. The same evidence is distilled into a leadership signal that clarifies where the system can operate, under what conditions, and what residual risk remains. The platform continues to run evaluations after deployment, maintaining the evidence base as conditions, threats, and requirements evolve.
Target Audience
Primary customers are defense agencies, government bodies, and critical infrastructure operators that need to validate AI systems before fielding them at scale in mission-critical environments.
Features
- TEVV workflow configuration with scenario-specific synthetic data and AI test packages for operational domains
- ASQI-structured deployment evidence generation for standardized, comparable assessment
- Granular performance analysis showing where systems perform, where they degrade, and why
- Leadership-focused decision signal that distills technical evidence into clear operational guidance
- Continuous post-deployment evaluation to maintain the evidence base as conditions evolve
- On-premise or in-environment execution, eliminating reliance on remote labs