BusinessThursday, March 12, 2026· 2 min read

Gumloop Raises $50M to Turn Every Employee into an AI Agent Builder

TL;DR

Gumloop secured a $50M investment from Benchmark to expand its platform that lets nontechnical employees create AI agents. Backing from Benchmark — and partner Everett Randell’s view that enterprise automation is AI’s biggest opportunity — signals strong confidence in democratizing automation across businesses.

Key Takeaways

  • 1Gumloop raised $50 million from Benchmark to scale tools that let employees build AI agents.
  • 2The platform aims to democratize automation, reducing reliance on specialized engineering teams.
  • 3Benchmark’s new partner Everett Randell calls enterprise automation the largest AI opportunity, highlighting investor conviction.
  • 4Wider adoption could boost productivity, speed up internal workflows, and lower the barrier to AI-powered solutions.

Gumloop’s vision: every employee as an AI builder

Gumloop has closed a $50 million round led by Benchmark to grow a platform designed to let employees — not just engineers — assemble and deploy AI agents. The move represents a push to democratize automation inside companies, so frontline and business teams can solve problems with AI without waiting for centralized engineering resources.

Investor confidence in enterprise automation

Benchmark’s new partner Everett Randell framed enterprise automation as one of the largest opportunities in AI, and his firm’s investment underscores strong market belief in tools that broaden access to AI development. That backing gives Gumloop both capital and credibility to accelerate product development and customer adoption.

Why this matters

By empowering nontechnical staff to create task-specific agents, Gumloop can help organizations unlock productivity gains across departments. Benefits include faster workflow automation, fewer manual handoffs, and the ability to prototype AI-powered solutions directly where the work happens.

Looking ahead

  • Scalability: The funding will help Gumloop scale platform features and customer support.
  • Adoption: Easier agent creation could accelerate AI adoption across operations, HR, sales, and support.
  • Impact: Democratising agent building promises broader, faster wins from AI across enterprises of all sizes.

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