News
The Gist
- Seed funding secured. Obot.AI raised $35 million to develop open-source AI infrastructure.
- Enterprise AI focus. Obot MCP Gateway and Nanobot Agent address security and integration.
- IT leadership impact. Enables IT leaders to scale AI adoption with improved governance and safety.
Obot.AI, an open-source software company, announced a $35 million seed funding round on September 23, 2025. The investment was co-led by Mayfield Fund and Nexus Venture Partners to support development of secure, enterprise-ready platforms for the Model Context Protocol (MCP) standard.
The San Francisco-based company will use the funding to expand its engineering and product teams while accelerating development of its open-source projects, including the Obot MCP Gateway and Nanobot MCP Agent Framework. According to company officials, these tools aim to help organizations safely adopt and scale AI assistants.
Enterprise AI Adoption Challenges
Enterprise AI adoption faces critical barriers in legacy integration, governance and standardization as organizations rush to implement agentic capabilities.
ObotAI's $35 million seed funding from Mayfield Fund and Nexus Venture Partners aims to address these challenges through its Model Context Protocol (MCP) standard. The company's recently launched MCP Gateway and Nanobot MCP Agent Framework target the 68% of IT leaders who say legacy systems block modern tech adoption, according to research from Pega and Savanta.
The funding comes as enterprises increasingly favor hybrid architectures for AI workloads, with 90% of IT decision-makers rethinking cloud strategies to balance cost, control and performance. Yet industry research shows only 22% of companies are truly "future ready" with their data infrastructure.
Obot.AI's platform addresses security concerns that have emerged from crowdsourced AI development, where 84% of open-source codebases contain at least one vulnerability. The company asserts its MCP standard will provide the governance framework enterprises need while enabling IT teams to overhaul legacy systems more efficiently through standardized AI integration.
"The MCP standard is reshaping how organizations adopt AI. But without a standard platform, companies struggle with fragmentation, governance, and integration challenges. Obot AI is building an Enterprise MCP Platform so every organization can safely adopt, scale, and innovate with AI assistants."
- Sheng Liang
CEO, Obot.AI
Obot.AI's Platform Capabilities
| Feature | Description |
|---|---|
| Obot MCP Gateway | Open-source control plane for managing MCP servers and AI solutions. |
| Nanobot MCP Agent Framework | Framework for AI agents with dynamic UI in chat interfaces. |
| MCP Standard Support | Enables secure connections between data sources and AI tools. |
| Enterprise Governance | According to Obot, provides unified control for AI deployment. |
| Security Integration | The company claims it addresses fragmentation risks in AI adoption. |
Related Article: Trusting AI Agents at Work: What Employees Really Want
Who's Impacted By Obot.AI's Funding?
- IT leaders managing enterprise AI adoption
- Software developers building AI-powered applications
- Organizations struggling with AI governance and security
Company Snapshot: A Look at Obot.AI
Obot.AI provides conversational artificial intelligence solutions for businesses, primarily targeting customer service and support teams.
Obot.AI Offerings
The company offers an AI-powered chatbot platform designed to automate customer interactions across digital channels. Its technology supports natural language processing (NLP), multilingual capabilities and integration with enterprise systems. Obot.AI claims its platform enables organizations to reduce response times and improve user satisfaction while maintaining control over conversational workflows.
Obot.AI Market Position
Obot.AI serves enterprise and mid-market clients in sectors such as banking, insurance, telecommunications and ecommerce. It positions itself as a partner for organizations seeking to automate high-volume customer engagement while maintaining compliance and data privacy standards. Typical customers include customer experience leaders and IT decision-makers responsible for digital transformation initiatives.
