Odva provides a continuous AI behavior testing and remediation platform that monitors agents in real time against custom-defined guardrails, generating alerts and auto‑deployed dataset patches when violations occur. The service runs 24/7 on both evaluation and production traffic, enabling enterprises to detect and fix risky behavior within minutes, reducing pre‑deployment issues and improving AI safety.
Funding
Funding not disclosed
Founders
Product
Problem
AI agents and chatbots can exhibit unintended behaviors such as policy violations, data leakage, or unsafe responses, which may damage user trust and expose organizations to regulatory risk. Detecting these issues typically requires manual testing and post‑deployment monitoring, leading to delayed remediation and potential user impact.
Solution
Odda offers a continuous behavior‑testing platform that monitors AI agents 24/7 on both evaluation and production traffic against custom guardrails defined by the customer. The system evaluates real‑world signals and flags violations in categories such as policy escalation, PII egress, and privilege boundary breaches. When a violation is detected, Odva automatically generates a targeted dataset patch and can deploy a remediation guardrail in under a minute, allowing teams to close behavior gaps before users encounter them. The platform provides a unified dashboard that surfaces failure metrics, prioritizes alerts based on signal‑to‑noise tuning, and integrates with existing AI development pipelines for rapid iteration. By delivering pre‑deployment issue capture rates of 97%, Odva enables AI teams to maintain compliance and safety while reducing evaluation cycle times.
Target Audience
Primary customers are AI product teams, enterprise chatbot developers, and security-focused AI platforms that need automated, real‑time monitoring and remediation of agent behavior at scale.
Features
- 24/7 continuous testing on both evaluation and live production traffic using customer‑specific behavior specifications
- Automatic generation of dataset patches and one‑click guardrail deployment in under a minute
- Customizable guardrail library covering hundreds of behavior parameters (e.g., policy escalation, PII leakage, authority limits)
- Real‑time alerting with signal‑to‑noise tuning to prioritize critical issues and suppress noise
- Integrated dashboard showing failure counts, categories, and remediation status for rapid triage
- Compatibility with existing AI pipelines and third‑party security vendors for seamless workflow integration