Refold AI, a San Mateo, CA-based AI-native integration platform, has emerged from stealth with $6.5 million in seed funding.
Investors
The round was led by Eniac Ventures and Tidal Ventures, with participation from Better Capital, Ahead VC, Karman Ventures, Z21, and notable angel investors.
Eniac Ventures is a venture capital firm that invests in companies leveraging code to drive transformation. Founded in 2009, the firm focuses on leading seed rounds and partnering with founders to scale startups. Based in San Francisco, Eniac provides hands-on support to founders through its operator-led team and dedicated platform services.
Tidal Ventures is an early-stage venture capital firm that invests in product-led founders from Australia and New Zealand (ANZ) who are building companies for international markets. Founded in 2016, the firm is headquartered in Sydney, Australia, with an additional office in New York.
Refold AI Use of Funds
The company will use the funding to expand its engineering team, enhance product integrations, and support its growing enterprise customer base.
About Refold AI
Refold AI is an enterprise software company that uses autonomous AI agents to automate and maintain system integrations without human intervention. The platform’s three-layered architecture includes workflow code agents for engineers, MCP chains for natural language-driven workflow creation, and an embedded integrations platform for SaaS providers. Headquartered in San Mateo, California, Refold AI already serves more than 30 enterprise customers, including Incorta and Naehas.
Funding Details
Company: Refold AI
Raised: $6.5M
Round: Seed
Funding Date: August 2025
Lead Investors: Eniac Ventures, Tidal Ventures
Additional Investors: Better Capital, Ahead VC, Karman Ventures, Z21
Company Website: https://www.refold.ai/
Software Category: AI-powered Enterprise Integration Platform
Source: https://www.globenewswire.com/news-release/2025/08/13/3132525/0/en/Refold-AI-emerges-from-stealth-with-6-5M-to-kill-the-enterprise-integration-tax.html
