Observee offers a data‑collection platform that captures real‑world edge cases encountered by robots during operation, supplying developers with annotated scenarios to enhance perception and decision‑making algorithms. The service targets robotics manufacturers and AI teams needing diverse, high‑quality field data to train and validate models. Revenue is generated through subscription fees for access to the continuously updated dataset and associated analytics tools.
Funding
Funding not disclosed
Founders
Product
Problem
Developing AI agents that leverage external tools requires robust infrastructure for managing machine communication protocols (MCPs). Without proper observability, analytics, and authentication, ensuring the reliability and security of these agent-tool interactions is challenging. This complexity can hinder the rapid deployment and scaling of advanced AI agent capabilities.
Solution
Observee provides a managed infrastructure platform for Machine Communication Protocols (MCPs), enabling AI agents to securely access and utilize over 1000 tools hosted on our servers. Our solution offers integrated observability, analytics, and authentication for MCP servers, which can be implemented with minimal code integration into existing agent workflows. This allows developers to quickly enhance their AI agents with reliable and secure communication capabilities, streamlining the development and deployment process.
Target Audience
The primary target audience includes AI developers and enterprises building or deploying AI agents that require integration with external tools and services.
Features
- Managed MCP server infrastructure with integrated observability and analytics.
- Access to a marketplace of over 1000 pre-integrated tools for AI agent utilization.
- Secure authentication layer supporting OAuth for MCP server management.
- SDKs for developers to add logging and monitoring of tool and prompt calls with minimal code.
- Detailed logs capturing tool call status, inputs, outputs, and execution duration.
- Knowledge graph visualization for analyzing tool trace data.
- Support for integrating custom applications and third-party services like Slack and Atlassian.
- Options for single isolated infrastructure, auto-scaling infrastructure, and self-hosting solutions.