Sentrial
Sentrial is a production monitoring platform for AI agents designed to detect behavior drift, loops, and silent regressions in real-time.
At a Glance
- B2B SaaS
- AI/ML Development Teams
- Enterprise AI
AI Tools by Sentrial
(1)
Sentrial
AI Agent Observability Platform
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Latest News
Sentrial (YC W26) officially launches its production monitoring platform for AI agents.
Products & Services
A production monitoring and observability platform for AI agents, detecting loops, hallucinations, and behavior drift.
Python and TypeScript SDKs for wrapping LLM clients (OpenAI, Anthropic, etc.) to enable real-time trace streaming.
Market Position
Specific focus on 'agentic' observability and prompt patching, differentiating from general LLM logging by addressing behavior drift in autonomous agents.
Leadership
Founders
Neel Sharma
Co-Founder of Sentrial. Previously worked on agentic optimization at Sense. Studied Computer Science at UC Berkeley.
Anay Shukla
Co-Founder of Sentrial. Previously deployed DevOps agents at Accenture. Studied Computer Science at UC Berkeley.
Executive Team
Neel Sharma
Co-Founder
CS @ UC Berkeley, Agentic Optimization @ Sense
Anay Shukla
Co-Founder
CS @ UC Berkeley, DevOps Agents @ Accenture
Board of Directors
Founding Story
Neel Sharma and Anay Shukla founded Sentrial after observing that traditional AI evaluation frameworks failed to capture real-world agent drift in production environments—Neel at Sense and Anay at Accenture.
Business Model
Revenue Model
SaaS subscription with tiered pricing based on trace volume and features.
Pricing Tiers
10,000 traces/month, 7-day retention, Basic evals, Email support
100,000 traces/month, 30-day retention, Advanced evals, Prompt patching, Slack integration
Unlimited traces, Custom retention, Custom evals, SSO & SAML, SLA guarantee
Target Markets
- B2B SaaS
- AI/ML Development Teams
- Enterprise AI
- Conversational agents
- Support bots
- LLM-powered automation
- Agentic workflows
- Various early-stage startups and AI agent developers