Gumloop raises USD $50m to scale workplace AI agents

Gumloop has raised USD $50 million in Series B funding as it expands its workplace AI automation and agent platform.

Benchmark led the round, with participation from Nexus VP, First Round Capital, Y Combinator, Box Group, The Cannon Project and Shopify Ventures.

Gumloop positions its software as a way for employees across an organisation to build AI agents and automations. The product is used at companies including Shopify, Ramp, Gusto, Samsara, Instacart and Opendoor.

Product scope

The platform began as a drag-and-drop workflow builder and still includes that capability. Gumloop now groups the product into three areas: Gumloop Agents, the core Gumloop platform and Gumstack.

Gumloop Agents are positioned as proactive AI agents that staff can build quickly. They can connect to hundreds of apps and be deployed across workplace tools, including Slack, Teams and email.

The core platform focuses on collaboration and orchestration for teams that build, share and manage agents and automations across a business.

Gumstack targets security teams, with tools to monitor and control data use across an organisation's agents. Gumloop says Gumstack tracks data usage beyond its own platform, logging and auditing tool calls from products including Claude Code, ChatGPT and Cursor, as well as internal custom agents.

Security focus

Enterprises have moved cautiously on generative AI deployments, partly because of data governance concerns. Many corporate security teams want visibility into how staff use AI tools and what data those tools can access.

Gumloop is putting that theme at the centre of its product roadmap. It says it has spent two years building an authentication layer, observability features and security controls, alongside user experience work. It also says improvements in large language models over the last six months have influenced its product direction and pace.

The approach reflects a wider shift in the AI software market, as companies compete to become a standard layer for enterprise AI usage. Vendors have also expanded from single-product tools into suites that cover deployment, monitoring and governance alongside end-user workflows.

Customer engagement

Gumloop is pitching ease of use as a differentiator alongside security and compliance. It argues that non-technical staff can build and deploy AI agents while security teams retain oversight and control.

Gumloop describes an intensive customer feedback loop, saying staff speak with users daily and fold feedback into product updates. It also says it has travelled to customer offices, participated in thousands of customer calls, run hundreds of workshops, and answered more than 8,000 customer questions in private Slack channels.

Benchmark partner Ev Randle highlighted adoption among larger customers.

"The incredible adoption & expansion we're seeing within enterprises firsthand is a testament to the depth of this team's commitment to their users & customers," said Randle.

Gumloop says it chose to work with Benchmark after discussions that included customer research.

Hiring plans

Gumloop says it is expanding its team and hiring across the business. The company framed the funding as a way to move faster as model performance improves and as companies increase their use of AI tools at work.

"This is just the beginning. See you in our next update," it said in the announcement.