Gumloop raises $50M from Benchmark so every employee can build AI agents

Gumloop startup closed a Series A funding round of 50 million dollars. The round was led by Benchmark — one of the most prestigious venture capital funds in Silicon Valley. The goal of the investment is to scale a platform that allows creating AI agents without a single line of code.

Benchmark is known for its ability to bet on companies long before the market understands their scale. In the fund's portfolio are Uber, Snap, Twitter and Dropbox. General Partner Everett Randel, who personally led the Gumloop deal, formulated the investment thesis with utmost clarity: companies that first give every employee AI superpowers will win.

Gumloop is the tool that makes this accessible today. The idea behind Gumloop seems simple, but that is exactly its strength. Instead of writing Python scripts, dealing with APIs or waiting for a developer from the IT department, an employee opens a visual builder and assembles an agent from ready-made blocks.

Blocks connect, conditions are set, services are connected through integrations. The result is a working AI agent that can read and classify incoming mail, analyze data tables, generate reports based on given templates, make requests to external systems and make decisions based on rules set by the user. No code.

No queue to the programmer. Typical scenarios for Gumloop look like this. The sales department configures an agent that daily monitors the activity of potential clients and creates personalized emails.

The HR team assembles an agent for screening resumes and initial candidate selection. An operations manager builds an agent that automatically consolidates data from five different systems into a weekly report. None of these scenarios require IT support.

The market for no-code automation tools has long existed — Zapier, Make, n8n — but the generation of AI agents sets fundamentally new requirements for it. Old tools operated on the "if X, then Y" scheme: linear triggers and actions. An AI agent works differently — it must be able to reason, adapt to non-standard situations and independently choose a strategy.

Most existing platforms are not ready for this or require serious technical configuration. Gumloop builds an interface precisely for this new class of tasks — and makes it accessible to people without a technical background. Benchmark's position reflects a broader investment logic.

Today, AI adoption in the corporate sector is constrained by two factors: a shortage of AI engineers and expensive custom development. The average salary of an AI specialist in the USA exceeds 200 thousand dollars per year. With such a shortage, most companies can only afford automation in a few priority areas.

No-code platforms remove this constraint: a marketer, operations manager or analyst build agents for their own tasks themselves — in hours, not months. AI stops being a centralized IT project and becomes a distributed infrastructure that each department grows at its own pace. By market standards, a 50 million dollar round puts Gumloop on par with leading players.

For comparison: n8n attracted 55 million in 2023, Zapier last took outside investment in 2021 at a valuation of 5 billion dollars. Gumloop does not disclose its valuation, but Benchmark's participation — historically one of the most selective funds in the world — signals to investors that they are betting on unicorn status in the foreseeable future. The main conclusion for the market: tools for creating AI agents are transitioning from experimental category to basic business infrastructure.

Companies that first equip their employees with such platforms will gain an operational advantage that competitors will find difficult to compensate for. Gumloop, with Benchmark's support, claims to become the standard for this new infrastructure.