reasonX offers a cloud‑based safety assurance platform that automates compliance, risk analysis, and verification for AI‑driven, safety‑critical systems such as autonomous vehicles, robots, and drones. By integrating with existing engineering tools via APIs and providing AI‑driven fault‑tree analysis, risk identification, and customizable dashboards, it streamlines safety workflows and scales from prototype to fleet while maintaining enterprise‑grade security and data ownership.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering safety for AI-powered systems such as autonomous vehicles, mobile robots, drones, and software agents requires extensive, manual compliance work, fragmented tooling, and lengthy verification cycles, which delay product development and increase risk.
Solution
reasonX provides a cloud‑based safety assurance platform that automates and streamlines compliance, risk analysis, and verification for AI‑driven products. The platform integrates with existing engineering tools (e.g., Jama, Notion, Linear, GitHub, Slack, Excel, Google Workspace) via a comprehensive API, allowing teams to embed safety workflows directly into their current processes. Built‑in AI analyzes requirements, generates fault‑tree analyses, and surfaces risks early, recommending corrective actions and automating routine safety tasks. Users can configure dashboards, templates, and reporting formats to match their methodologies, and scale from prototype to fleet without sacrificing performance. Data ownership is ensured through bulk import/export and programmatic access, while enterprise‑grade security and industry certifications protect sensitive information.
Target Audience
Primary customers are engineering teams developing safety‑critical AI systems, including autonomous vehicle manufacturers, robotics firms, drone operators, and developers of AI software agents.
Features
- AI‑driven risk identification and automated safety workflow recommendations
- Modular analysis tools (e.g., fault‑tree analysis, requirements management) that can be added incrementally
- Seamless integration with popular engineering and collaboration tools via API and native connectors
- Customizable dashboards, analysis templates, and reporting formats to fit existing processes
- Cloud infrastructure with multi‑region redundancy, end‑to‑end encryption, and SOC 2/ISO 27001 compliance
- Bulk data import/export and full API access to ensure complete data ownership
- Scalable architecture supporting projects from single prototypes to large fleets