RAIGen AI
By RAIGen AIPlatform that centralizes and operationalizes Responsible AI governance across the enterprise, addressing regulatory gaps and compliance for GenAI.
- Stage
- Prototype
- Industries
- Banking and finance
- Insurance
- Healthcare
- Deployment
- Hybrid
Why it is worth it
A unified governance hub with automated vendor risk assessment and continuous monitoring for internally built and third-party GenAI systems.
- Enterprises today are accelerating their use of Generative AI (GenAI) and Agentic AI — not only by building proprietary models and copilots internally, but also by buying and embedding third-party GenAI systems from vendors and SaaS providers.
- This dual mode of adoption creates a new layer of governance complexity:
- Models and AI features are often integrated into consumer-facing applications such as banking apps, insurance portals, or patient platforms — domains already under tight regulatory scrutiny.
- These applications are being modernized with GenAI capabilities (e.g., conversational assistants, document summarization, recommendation engines), yet few have systematic oversight to ensure they meet Responsible AI, privacy, and safety expectations.
- Meanwhile, when organizations procure GenAI systems from outside vendors, they inherit the vendor’s risk posture without visibility into ethical mitigation, or regulatory conformity.
- As a result, organizations face a fragmented and opaque risk environment where:
- Internal teams struggle to verify GenAI apps behaviour in terms of Risks and Safety
- Procurement and compliance teams cannot confidently assess AI vendors.
- Engineering and product teams lack unified visibility into ethical and operational risks across internal and external AI assets.
- This creates a governance blind spot — a “trust gap” — where AI innovation moves faster than institutional accountability, leaving organizations exposed to regulatory, operational, and reputational damage.
Opening the deck…
Page 1
Notable paying customers
- MVP stage
Key milestones
Regulated Industry Environment , AI Startups , Policy Makers