Archestra offers an enterprise Multi-Agent Conversation Platform (MCP) for securely building and deploying interconnected AI agents. It provides an isolated runtime with sandboxing and prompt injection prevention to safeguard agent integrity and data. The platform also includes AI-powered supply chain analysis to identify vulnerabilities in AI dependencies.
Funding
$13.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
2AICVKF+4Founders
Product
Problem
Organizations face challenges in securely building, deploying, and managing interconnected AI agents at scale. Ensuring the integrity of AI dependencies and preventing malicious prompt injection attacks are critical concerns for enterprise adoption.
Solution
Archestra provides an enterprise Multi-Agent Conversation Platform (MCP) designed for the secure development and deployment of AI agents. The platform offers an isolated runtime environment with robust sandboxing and resource controls to mitigate execution risks. It incorporates advanced features for prompt injection prevention, safeguarding agent behavior and data integrity. Furthermore, Archestra includes AI-powered supply chain analysis to identify vulnerabilities within MCP server packages. This enables organizations to deploy and manage AI-to-Data connectors with enhanced security, governance, and compliance.
Target Audience
The primary customers are enterprises and organizations requiring a secure, scalable, and governed platform for building and deploying interconnected AI agents and AI-to-Data connectors.
Features
- Isolated runtime environment with sandboxing and resource controls for secure AI agent execution.
- Prompt injection prevention mechanisms to protect against data leakage and unauthorized behavior modification.
- AI-powered supply chain analysis for evaluating dependencies and identifying security vulnerabilities in MCP server packages.
- Multi-tenant architecture for scalable deployment and management of AI agents and AI-to-Data connectors.
- Enterprise-grade security, compliance, and governance features for controlled AI infrastructure.
- Open-source MCP server framework facilitating community contributions and transparency.