Vijil
Category: AI Safety
Vijil specializes in agentic resiliency, providing tools to continuously safeguard and evaluate AI agents for reliability, security, and safety Vijil was founded in 2023. The company is led by Vin Sharma. Based in Menlo Park, United States. Team size: 11-50. Total funding raised: $23 million. Latest round: Series A ($17M in November 2025 led by BrightMind Partners). Key investors include BrightMind Partners, Mayfield Fund, Gradient Ventures.
- Founded
- 2023
- Headquarters
- Menlo Park, United States
- Team size
- 11-50
- Total funding
- $23 million
Value proposition
Enables organizations to build, test, and operate AI agents with measurable trustworthiness, reducing risks of harm, errors, and security vulnerabilities
Products and solutions
Vijil Depot (hardened LLMs, guardrails, MCP proxy for development), Vijil Diamond (agent evaluation/testing with Trust Score before deployment), Vijil Dome (real-time production defense/guardrails), Vijil Darwin (continuous RL-based agent improvement from production telemetry), Vijil Discover (agent inventory/discovery across code, cloud, and endpoints)
Unique value
Focuses on 'inside-out' AI safety by hardening models inherently, rather than relying on external guardrails
Target customer
Enterprises deploying generative AI agents, including industries like cybersecurity, healthcare, finance, and enterprise AI
Industries served
Enterprise AI, Cybersecurity, Healthcare, Financial Services, Software Development
Technology advantage
Full agent trust lifecycle (Depot hardened components, Diamond evaluation/Trust Score, Dome runtime defense, Darwin RL-based continuous hardening from production telemetry, Discover agent inventory); framework integrations (LangChain, CrewAI, Google ADK, etc.); Google Responsible Generative AI Toolkit collaboration
How they differentiate
Vijil specializes in agentic resiliency through continuous safeguarding, testing AI agents for reliability/security compliance. Differentiates via partnerships (Google Cloud integration), adaptive learning frameworks, and Gartner recognition as a Cool Vendor in Agentic AI TRiSM
Main competitors
Superwise, Beam AI, Amelia
Key partnerships
Google Cloud (integration and marketplace), BrightMind Partners, Mayfield Fund, Gradient Ventures
Notable customers
SmartRecruiters, Autonoma, Brainforest, DigitalOcean, DuploCloud, Near
Major milestones
Named Gartner® Cool Vendor 2025 in Agentic AI TRiSM, Named to CB Insights AI 100 / Most Innovative Startups 2025, Secured $6M seed (Jul 2024) and $17M Series A (Nov 2025; total $23M), Integrated with Google Cloud Marketplace (Nov 2025), Launched Vijil Darwin continuous adaptive improvement platform (Mar 2026), Tim G. J. Rudner joined as Chief Scientist (Apr 2026), Expanded platform to Depot/Diamond/Dome/Darwin/Discover lifecycle, SmartRecruiters: ~75% reduction in time-to-trust / ship agents in 6 weeks vs 6 months
Growth metrics
~30 employees (mid-2026; LinkedIn ~33 discoverable), enterprises deploy trusted agents 4x faster / cut time-to-trust from 6 months to 6 weeks, 75% shorter time-to-trust reported for customers (e.g. SmartRecruiters)
Market positioning
Positioned as a leader in AI agent trust frameworks, targeting enterprise deployment needs with focus on compliance (EU AI Act/GDPR) and production readiness
Geographic focus
Global with U.S. (Menlo Park HQ) as primary market, expanding into EU through regulatory compliance frameworks
Patents and IP
10+ patents filed (combination of Vin Sharma's personal patents and company patents)
About Vin Sharma
30+ years in AI/ML, Data, Cloud, OS, Security; Former GM & Director of Engineering at Amazon SageMaker; Built 11 AWS AI services, 30 products, 10 patents, 5 papers; Previously led engineering at Foursquare, OctoML, and built deep learning capabilities for Amazon SageMaker
Latest news about Vijil
More AI Safety companies
Official website: https://www.vijil.ai
