Agnost Tech Inc
Agnost AI provides an intelligence layer for AI agents that catches production failures missed by evaluations, turning real conversation data into actionable fixes.
At a Glance
- AI Startups
- Enterprise AI teams
- Developer Tools
- Consumer AI Agents
AI Tools by Agnost Tech Inc
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Agnost AI
AI Agent Production Monitor
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Latest News
Blog: Evals Catch Known Unknowns. Production Catches Unknown Unknowns.
Blog: Your Agent Is Failing in Production Even When Your Evals Pass
Blog: The Revenue Leak Your AI Evals Will Never Show You
Google Cloud collaboration: Optimizing MCP Toolbox with Agnost AI built-in observability.
Products & Services
The intelligence layer for AI agents that analyzes production conversations to catch failures that evaluations miss. It identifies intent clusters, frustration patterns, and automatically opens PRs to fix agent issues.
Market Position
Agnost AI differentiates itself from standard observability tools like LangSmith or Helicone by focusing on discovery of production failures and the automatic generation of fixes (reviewed PRs), effectively closing the loop between monitoring and development.
Leadership
Founders
Shubham Palriwala
Co-founder and CEO of Agnost AI. Previously a Google Summer of Code (GSoC) student at OWASP Juice Shop and a graduate of VIT (Vellore Institute of Technology). He is an alum of Entrepreneur First S25 and Y Combinator S26.
Parth Ajmera
Co-founder and CTO of Agnost AI. Graduated in Computer Science from IIT Madras, where he ranked 159 out of over 1 million candidates in the entrance exam. He is an alum of Entrepreneur First S25 and Y Combinator S26.
Executive Team
Shubham Palriwala
Co-founder & CEO
Lead at Agnost AI, driving product vision and growth. Background in engineering and product from VIT and GSoC.
Parth Ajmera
Co-founder & CTO
Leading engineering and technical strategy. CS graduate from IIT Madras with a focus on AI infrastructure and analytics.
Founding Story
Founded by Parth Ajmera and Shubham Palriwala who realized that traditional AI evaluations only catch known failure modes. They built Agnost AI to analyze real production conversations and automatically suggest fixes (via PRs) for the 'unknown unknowns' that cause user frustration and churn.
Business Model
Revenue Model
SaaS subscription with free, pro, and enterprise tiers based on message volume and feature requirements.
Pricing Tiers
Includes intent & sentiment signal extraction, automatic agent improvements, failure detection, up to 1,000 messages/mo, and 7-day data retention.
Includes everything in Starter plus up to 100,000 messages/mo, 90-day data retention, priority support, and access to a Founders Slack channel.
Tailored for organizations at scale, including custom data retention, audit logs, SLAs/SLOs, and unlimited time with the founders.
Target Markets
- AI Startups
- Enterprise AI teams
- Developer Tools
- Consumer AI Agents
- Teams shipping conversational AI agents
- Improving agent retention and conversion rates
- Discovering hidden feature requests in chat data
- Fixing production agent bugs autonomously
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