Salus provides a platform designed to validate AI agent actions in real-time, ensuring that incorrect actions are prevented and immediate feedback is offered. Their main product offerings include:
Policy Configuration: Users can define constraints using YAML, markdown, or plain English. Salus compiles these into runtime checks that are version-controlled and diffable, allowing for easy updates and management.
Evidence Grounding: The platform collects and references verified evidence from previous tool calls, ensuring that future actions are based on accurate and observed data.
Runtime Guardrails: Salus intercepts and validates tool calls during execution, blocking any actions that violate established policies or conflict with cached evidence.
Guided Retries: If an action is blocked, the system provides structured feedback explaining the failure, enabling the agent to reattempt the action with the necessary corrections.
Full Visibility: Users can access a complete trace of agent decisions in natural language, detailing what actions were blocked and the reasons behind those decisions.
Evals (Pre-Deployment): The platform generates realistic scenarios to assess the correctness of tool calls before they are deployed, ensuring reliability in real-world applications.
These features collectively enhance the reliability and compliance of AI agents across various applications, making Salus particularly valuable for AI development teams in tech companies and compliance officers in regulated industries.
Co-Founder at Salus (YC W26)
Co-Founder at Salus (YC W26)
Founder & CEO at Salus
Co-Founder & CTO at Salus
Co-Founder at Salus