LangWatch
LangWatch helps AI teams build, monitor, and improve their AI solutions by bridging the gap between development and production reliability.
At a Glance
- Enterprise AI teams
- AI startups
- Developers building LLM-powered applications
AI Tools by LangWatch
(2)
Scenario
AI Agent Simulation Testing Framework
LangWatch
LLM Observability and Agent Platform
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Products & Services
Core platform for LLM evaluation, observability, and optimization.
An automated AI engineer that answers questions about agents from traces and code.
Simulate and test voice AI agents at scale before customer interaction.
Agentic AI testing tool to run realistic user scenarios against agents.
Market Position
Positions itself as an 'all-in-one' LLMops platform focusing on reliability and engineering-led AI development, competing with LangChain (LangSmith), Arize AI, and Comet.
Leadership
Founders
Manouk Draisma
Co-founder & CEO. Previously held commercial leadership roles at Lightspeed and Biller. Met Rogerio at Antler Amsterdam.
Rogerio Chaves
Co-founder & CTO. Former engineer at Booking.com where he built early AI agents. Previously at ThoughtWorks. Background in React, TypeScript, GraphQL, and ML.
Executive Team
Manouk Draisma
Co-founder & CEO
Commercial leadership at Lightspeed and Biller.
Rogerio Chaves
Co-founder & CTO
Built first AI agents at Booking.com; Engineering at ThoughtWorks.
Board of Directors
Founding Story
Founded by Manouk Draisma and Rogerio Chaves who met at Antler Amsterdam. They recognized the difficulty in understanding user interactions with GenAI systems and the fragility of AI in production.
Business Model
Revenue Model
SaaS subscription (per seat) plus usage-based pricing for events and storage.
Pricing Tiers
50k events/month, 14-day data access, 2 users, 3 scenarios/simulations/custom evals.
200k events included ($6/100k after), 30-day retention, unlimited simulations/evals/prompts.
Self-hosted/on-prem, custom retention, SSO/RBAC, audit logs, SLAs, and dedicated support.
Target Markets
- Enterprise AI teams
- AI startups
- Developers building LLM-powered applications
- Testing AI agents before production
- Monitoring cost and latency of LLM stacks
- Red-teaming AI applications for safety
- Managing prompts as code
- Evaluating model performance and hallucinations
- Vinny
- Booking.com
- Massive Agency