Conscium provides an AI agent verification platform that helps enterprises test, audit, and govern autonomous AI systems before deployment. The platform runs agents through sandboxed simulations that mirror real-world operating conditions, enabling organizations to identify failures and risks without exposing production systems to harm.
- Artificial Intelligence
- AI Agents
- Cybersecurity
- Developer Tools
- Enterprise Software
- Software Only
Funding
Funding not disclosed
Founders
Product
Problem
AI agents can behave in ways their developers did not anticipate, and unlike traditional software, they impact the real world with minimal human supervision. A malfunctioning agent can enter into contracts that compromise IP, share personal data with bad actors, or give money away at scale—causing irreparable harm to the deploying organization.
Solution
Conscium offers Verify ax, an AI agent verification platform that lets organizations test, audit, and govern AI agents before and after deployment. The platform runs agents through sandboxed simulations that mirror their real operating environments, including APIs, databases, and tools, so agents cannot cause damage during testing. Agents are evaluated against predefined success criteria across common, ambiguous, adversarial, and multi-step scenarios, with each test scored and explained. The platform generates reports that include scores, reasons for success or failure, and suggestions for improvement, enabling organizations to deploy autonomous AI with confidence.
Target Audience
Primary customers are enterprises and organizations deploying AI agents in production environments, particularly those in regulated industries or handling sensitive data who need to verify agent behavior, ensure compliance, and minimize operational risk.
Features
- Sandboxed simulation environments that mirror production conditions, including APIs, databases, and tools the agent will access
- Adversarial interaction testing covering prompt injection attempts, prohibited content requests, manipulation attempts, and confusing inputs
- Multi-criteria evaluation across functional requirements, safety constraints, and uncertainty-handling behaviors
- Automated scoring with explanations for each test result and actionable improvement suggestions
- Cloud-hosted infrastructure on GKE with data residency in the EU and integration with leading LLM providers