Fidian.ai
Fidian provides a verification platform that continuously checks AI agent decisions against customer-defined specifications in both development and production environments. The system runs entirely within a customer's VPC, ensuring sensitive data never leaves their infrastructure. It enables teams to ship agents up to 16x faster while maintaining auditable, enforced compliance with their requirements.
- Artificial Intelligence
- AI Agents
- Cybersecurity
- Developer Tools
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
AI agents operating in regulated, high-stakes domains often make decisions that deviate from business requirements or compliance specifications, creating significant risk. Teams lack visibility into what their agents are doing and why, making it difficult to debug issues, prove compliance, and confidently deploy agents to production environments.
Solution
Fidian provides a verification platform that checks every decision an AI agent makes against the customer's specification, both during development and in production. A verifier-in-the-loop approach accelerates time-to-production by enabling teams to identify and fix spec violations early, rather than discovering them after deployment. Every agent decision is translated into a spec that teams can read, edit, and enforce, creating a continuous feedback loop. The platform also supports hill-climbing optimization against the spec, allowing teams to iteratively improve accuracy, latency, and cost while proving each gain. Fidian deploys inside the customer's VPC, ensuring data never leaves their environment, which is critical for regulated industries.
Target Audience
Engineering and AI teams building agents in regulated, high-stakes industries such as healthcare, finance, and enterprise security, where auditability and spec compliance are critical for production deployment.
Features
- Continuous verification of agent decisions against user-defined specs in both development and production environments
- Verifier-in-the-loop architecture that reduces time-to-production by up to 16x
- Automatic conversion of agent decisions into human-readable specs that teams can review and modify
- Hill-climbing optimization tools that measure and prove improvements in accuracy, latency, and cost
- VPC-only deployment model ensuring data sovereignty and compliance with strict security requirements
- Enforcement mechanisms that continuously check production agent behavior against the latest spec