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Arcade.dev

Category: AI Infrastructure

Arcade.dev is an AI infrastructure platform that enables AI agents to securely perform real-world actions on behalf of users through authenticated integrations using the Model Context Protocol (MCP), solving the authentication challenge for enterprise AI adoption. Arcade.dev was founded in 2024. The company is led by Alex Salazar. Based in San Francisco, United States. Team size: 51-100. Total funding raised: $12M. Latest round: Seed. Key investors include Laude Ventures, Flybridge Ventures, Hanabi Capital, Neotribe Ventures, Andy Rachleff.

Founded
2024
Headquarters
San Francisco, United States
Team size
51-100
Total funding
$12M

Value proposition

Enables secure, scalable AI agent actions across enterprise systems via MCP (Model Context Protocol) with enterprise-grade security, authentication, and authorization capabilities

Products and solutions

MCP Runtime for AI Agents, Agent Authentication Platform, Pre-built Connectors (Gmail, Slack, Salesforce, etc.), Custom Tool SDK, Tool Evaluation Framework, Enterprise Deployment Options

Unique value

First MCP runtime purpose-built for enterprise production, combining authentication expertise with AI infrastructure. Only platform bridging MCP's promise with production reality through secure agent authorization.

Target customer

Enterprises requiring secure AI agent integrations, particularly in sectors needing authentication and authorization frameworks

Industries served

Enterprise Software, AI Infrastructure, Authentication & Identity Management, Developer Tools, Financial Services, E-commerce

Technology advantage

Core MCP runtime creates enterprise-ready security layer for AI agent actions, combining OAuth authentication with real-time contextual authorization. Purpose-built for production deployment with granular permissions and centralized governance.

How they differentiate

Arcade.dev specializes in secure, authenticated integrations specifically for AI agents using MCP protocol, whereas competitors focus on general automation or lack enterprise-grade security. They differentiate through their MCP runtime that makes AI agents production-ready with enterprise security.

Main competitors

Anthropic (MCP protocol), LangChain, Zapier, Make (Integromat), Okta (identity management)

Key partnerships

Linux Foundation's Agentic AI Foundation (Gold Member), Lithic (AI e-commerce partnership), LangChain / LangSmith Fleet (deepened partnership, April 2026), Snyk, Relevance AI, Prosus

Notable customers

LangChain, Snyk, Relevance AI, Prosus, Sybill, Eddo Learning

Major milestones

March 2025: Raised $12M seed round led by Laude Ventures, February 2025: Stealth launch of MCP runtime, August 2025: Partnership with Lithic for AI e-commerce applications, November 2025: Authored core MCP capability for secure AI agents, December 2025: Joined Linux Foundation's Agentic AI Foundation as Gold Member, 2026: Named to Wing Venture Capital's Enterprise Tech 30, April 2026: Deepened LangChain partnership with LangSmith Fleet integration, 7,500+ tools available

Growth metrics

Trusted by LangChain, Snyk, Relevance AI, Prosus. Over 7,500 agent-optimized tools across 81 MCP toolkits deployed. Joined Linux Foundation's Agentic AI Foundation as Gold Member in December 2025. Named to Wing VC's 2026 Enterprise Tech 30.

Market positioning

Leading MCP runtime provider, positioned as the go-to platform for enterprises needing secure AI agent integrations with authentication and compliance

Geographic focus

Primarily North American market with San Francisco headquarters, targeting global enterprise clients with focus on Fortune 500 companies

Patents and IP

No publicly disclosed patents, but leverages proprietary MCP architecture and enterprise security expertise from co-founders

About Alex Salazar

Former VP of Product Management at Okta (2017-2023), led developer products representing 25% of total bookings. Co-founded Stormpath (authentication API platform acquired by Okta in 2017). Holds BS in Computer Science from Georgia Tech (2000-2004) and MBA from Stanford University (2014-2016).

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