Armature, Inc.
Armature helps companies monitor, analyze, and optimize how AI agents experience their products, providing the foundational infrastructure for 'Agent Experience' (AX).
At a Glance
- AI Agent Developers
- Software companies building MCP servers
- Product teams shipping Claude Connectors and ChatGPT Apps
AI Tools by Armature, Inc.
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Armature
MCP Server Analytics Platform
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Products & Services
Product analytics for AI agents. It captures user sessions on Claude Connectors, ChatGPT Apps, and MCP servers, showing what users ask and how agents think and interact with the product.
Automated testing infrastructure for MCPs and CLIs. It runs complex sessions across major harnesses and models to catch broken workflows before they reach users.
An internal coding agent integration that allows developers to autonomously fix product AX based on Armature's run data.
Market Position
Armature positions itself as a specialized 'Agent Experience' (AX) platform, distinguishing itself from general LLM observability tools by focusing on the interaction between products and non-human users (agents) across various third-party harnesses like Claude Code and ChatGPT.
Leadership
Founders
Theodore Otzenberger
Co-founder. Previously a Forward Deployed Engineer (FDE) at Palantir and a Founding Engineer at Tsuga (a Datadog spin-off), where he built petabyte-scale observability from scratch. He studied at École Polytechnique.
Louis Scremin
Co-founder. Previously led AI Automation (AI Agents & MCP servers) as an early employee at Joko, a consumer app with 6 million users. He studied at CentraleSupélec.
Executive Team
Theodore Otzenberger
Co-Founder
Ex-Palantir, Founding Engineer at Tsuga, École Polytechnique graduate.
Louis Scremin
Co-Founder
Former AI Automation lead at Joko, CentraleSupélec graduate.
Board of Directors
Founding Story
The founders were frustrated by the lack of visibility and testing tools while shipping AI agents at scale (notably at Joko). They realized that while the UX (User Experience) stack had matured over decades, the AX (Agent Experience) stack was missing, leading to silent failures and poor agent-native experiences.
Business Model
Revenue Model
SaaS with a self-serve model and a free tier based on the number of evaluation runs.
Pricing Tiers
100 free runs per month for Armature Evals. Self-serve access.
Target Markets
- AI Agent Developers
- Software companies building MCP servers
- Product teams shipping Claude Connectors and ChatGPT Apps
- Monitoring user sessions on AI-client-based products (Claude, ChatGPT)
- Automated testing of MCP servers and CLI tools
- Identifying and fixing broken agent workflows
- Benchmarking agent performance across different LLM models and harnesses