LangWatch is a platform for LLM evaluations and AI agent testing that lets teams test, simulate, evaluate and monitor LLM-powered agents across the full lifecycle. Its observability layer captures and lets teams search every LLM interaction across environments to debug failures, investigate incidents and support audits, while its evaluation and simulation tools verify agent quality before release. The open-core product helps engineering and product teams ship reliable AI applications. Based in Amsterdam, LangWatch raised roughly €1M in pre-seed funding led by Passion Capital, with participation from Volta Ventures and Antler.
LangWatch
ActivePlatform for LLM evaluations, agent testing and observability
Total raised
$1.1M
1 round
Stage
Pre-Seed
Jan 2024
Team
1-10
since 2023
Pricing
Open-source
free plan
Founded
2023
Amsterdam, Netherlands
Agent-ready
API
Score 55/100
LLM observability and tracing
Agent simulation and testing
Offline and online evaluations
Failure and incident debugging
Prompt and pipeline monitoring
Audit-ready interaction logs
Open-source core
Dataset and annotation tools
55/100
Developing
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
Jan 2024 Pre-Seed $1.1M ● Passion Capital
Capital network
$1.1M raised ·3 backers·10 network links
- Backers3
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- Is LangWatch open source?
- Yes, LangWatch has an open-source core that teams can self-host, alongside hosted plans.
- How much has LangWatch raised?
- LangWatch raised roughly €1M in pre-seed funding led by Passion Capital with Volta Ventures and Antler.
- What does LangWatch do?
- It provides LLM observability, evaluation and agent testing across development and production.
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