Salus
Guardrails to validate your agent's actions before they execute
Winter 2026ActiveB2BInfrastructureDeveloper ToolsB2BAPIInfrastructureAISan Francisco, CA, USA
Company
https://www.usesalus.aiYour agent processed a refund without looking up the order ID, costing you thousands. You only found out three hours later from a support ticket. Evals, output scoring, and observability can reduce the likelihood of mistakes like these occurring - but there's no solution that inspects and prevents an action as it’s about to execute. Salus does that.
We’ve built an API that wraps around your agent and checks its actions at run time, blocking incorrect ones and providing immediate feedback to guide retries. Kevin and Vedant were roommates at Stanford, where they both studied computer science.
Verdict
High Signal
Market Opportunity
AI agent guardrails and runtime validation is a real and growing need as agentic AI deployments scale across enterprise. The ICP is clear — companies running autonomous agents in production where mistakes have financial consequences (e.g., refund processing, customer ops). B2B infrastructure for AI agents is a large and rapidly expanding TAM driven by the agentic AI wave.
Low Signal
Founder Signal
Kevin Pan (Stanford CS) has a 3-month GTM internship at WindBorne Systems and a 6-month analytics internship at TPG. Vedant Singh (Stanford Math & CS, expected 2027) has a 2022 research internship as his main credential. Both are current Stanford undergrads with no deep engineering or infrastructure experience. The Stanford pedigree is a genuine positive signal, but AI agent infrastructure requires deep systems engineering experience that neither founder currently demonstrates.
Low Signal
Competition
No competitor data was returned, but this space has real incumbents and fast-moving players: Guardrails AI, NeMo Guardrails (NVIDIA), LangSmith (LangChain), Patronus AI, and Aporia all address LLM/agent safety and validation. Large platforms like LangChain and LlamaIndex are adding guardrail features natively. The moat here is unclear and the space is crowded with better-resourced teams.
Medium Signal
Product
Has feature descriptions (runtime guardrails, self-repair, full visibility, evals) and working code examples showing Python decorator integration. Integrations with OpenAI, Anthropic, LangChain, LangGraph, CrewAI. Trust Center link. Book a Demo CTA only. No pricing, no named customers, no live demo.
OverallC Tier
Salus addresses a real problem in runtime action validation for AI agents with working code examples showing Python decorator integration and integrations with major AI frameworks (OpenAI, Anthropic, LangChain, CrewAI). The market is growing fast as agent deployments scale. However, the founding team lacks elite technical pedigree, there are no named customers or pricing, and the competitive landscape includes established observability players expanding into AI safety guardrails. The product is more substantive than a pure landing page but needs customer validation.
Active Founders
Salus
TierC Tier
BatchWinter 2026
Team Size2
StatusActive
LocationSan Francisco, CA, USA
Last Updated2 days ago