Salus
Salus provides runtime guardrails that validate AI agent actions before execution to prevent costly mistakes, hallucinations, and policy violations.
At a Glance
- AI Developers
- Startups building agentic workflows
- Enterprises deploying LLM agents in production
AI Tools by Salus
(1)
Salus
AI Agent Runtime Guardrails
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Products & Services
A platform and API wrapper that validates AI agent tool calls at execution time, preventing hallucinations and policy violations.
Market Position
Salus distinguishes itself by providing proactive runtime validation rather than post-hoc monitoring, claiming significant reductions in misalignment and operational costs.
Leadership
Founders
Kevin Pan
Co-founder of Salus. Computer Science graduate from Stanford University. Former roommate of co-founder Vedant Singh.
Vedant Singh
Co-founder and CTO of Salus. Computer Science and Mathematics graduate from Stanford University. AI researcher.
Executive Team
Kevin Pan
Co-founder
Stanford CS graduate.
Vedant Singh
Co-founder & CTO
Stanford CS & Math graduate, AI researcher.
Board of Directors
Founding Story
Founded by Stanford CS roommates Kevin Pan and Vedant Singh, Salus was created to solve the challenge of AI agents making unvalidated tool calls, providing a runtime layer for safety and reliability.
Business Model
Revenue Model
Likely usage-based or subscription API access (Developer-focused SaaS).
Pricing Tiers
Tailored solutions for agent validation and observability.
Target Markets
- AI Developers
- Startups building agentic workflows
- Enterprises deploying LLM agents in production
- Validating tool calls in AI agent workflows
- Enforcing safety and compliance policies for LLM agents
- Reducing costs and hallucinations in production AI agents