- Updated: March 12, 2026
- 7 min read
Gumloop Secures $50M Series B to Empower Employees with AI Agent Builder
Gumloop has closed a $50 million Series B funding round led by Benchmark, positioning its low‑code AI agent builder as a fast‑growing solution for enterprises seeking to turn every employee into an autonomous AI‑powered workflow creator.
Founded in 2023 by Max Brodeur‑Urbas, Gumloop’s platform enables non‑technical staff to design, deploy, and share AI agents that automate multi‑step tasks without writing code. The fresh capital will accelerate product development, expand the sales force, and deepen integrations with leading large‑language models, giving enterprises a model‑agnostic automation toolkit.
Background: From Prototype to $50 M Series B
When Gumloop launched, AI agents were still experimental, often failing on complex instructions. Over the past two years, the company refined its agent‑builder engine, adding robust error handling, context memory, and a visual workflow canvas. Today, customers such as Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor report daily usage across departments—from finance to customer support.
The Series B round, announced on March 12, 2026, was led by Benchmark’s Everett Randle, who recently joined the firm from Kleiner Perkins. Randle’s participation marks his first deal at Benchmark and underscores the firm’s confidence in Gumloop’s vision of “AI‑native” enterprises.
What Makes Gumloop’s AI Agent Builder Unique?
Gumloop differentiates itself through three core capabilities:
- Low‑code visual authoring: Users drag‑and‑drop actions, set triggers, and embed LLM calls without touching a line of code.
- Model‑agnostic execution: The platform can switch between OpenAI, Anthropic, Google Gemini, or any on‑prem model, optimizing cost and performance per task.
- Enterprise‑grade sharing: Agents are stored in a central repository, allowing teams to publish, version, and audit agents company‑wide.
These features echo the flexibility of the UBOS platform overview, which also champions a no‑code approach to AI integration across business processes.
Low‑code visual authoring
Gumloop’s canvas resembles a flowchart, where each node represents an LLM prompt, a data fetch, or an external API call. The intuitive UI reduces onboarding time to under an hour for most users, a claim supported by internal usage metrics that show a 3‑day learning curve versus weeks for traditional scripting tools.
Model‑agnostic execution
Enterprises often hold credits across multiple AI providers. Gumloop’s model‑agnostic architecture lets a finance team run cost‑sensitive queries on OpenAI’s cheaper tier while a marketing team leverages Anthropic’s nuanced reasoning for brand‑sensitive content. This flexibility mirrors the approach of the Enterprise AI platform by UBOS, which also supports multi‑model orchestration.
Enterprise‑grade sharing
Agents are version‑controlled and can be assigned role‑based permissions, ensuring compliance with data‑privacy policies. Teams can “fork” an existing agent, adapt it for a new use case, and push updates centrally—similar to how the Workflow automation studio enables reusable automation blocks.
Market Context and Competitive Landscape
The low‑code AI automation market is heating up. Established players like Zapier and n8n dominate rule‑based integrations, while newer entrants such as Dust focus on autonomous agents. However, Gumloop’s emphasis on model independence and enterprise sharing gives it a strategic edge.
Even AI labs are entering the fray. Anthropic’s Claude Cowork offers a no‑code agent builder, but early adopters report higher friction due to limited integration points. In contrast, Gumloop’s open API and plug‑and‑play connectors make it easier to embed within existing tech stacks.
Benchmark’s Randle highlighted this advantage during the funding announcement: “When we asked a CTO to compare three tools, Gumloop was the only one that saw daily usage across the organization. The simplicity of the UI combined with true model‑agnosticism is a game‑changer.”
“Employees get addicted, they start building more agents, and then all of a sudden, the whole company is AI native.” – Max Brodeur‑Urbas, Founder & CEO, Gumloop
Leadership Quotes and Investor Perspective
Everett Randle, General Partner, Benchmark: “The future of enterprise automation lies in empowering every worker with AI superpowers. Gumloop’s platform delivers that empowerment at scale, without the need for a dedicated engineering team.”
Max Brodeur‑Urbas, Founder & CEO, Gumloop: “Our mission is to democratize AI‑driven automation. With this funding, we’ll double our engineering headcount, launch new model‑selection features, and expand globally to serve the next wave of AI‑first enterprises.”
Implications for Businesses and Employees
For businesses, the immediate benefit is a reduction in manual effort and operational costs. A typical finance department can automate invoice reconciliation, expense approvals, and compliance reporting, freeing up analysts for strategic work.
For employees, the platform offers a new skill set: building AI agents becomes a core competency akin to spreadsheet mastery. This shift can improve job satisfaction and career growth, especially for non‑technical staff who previously felt limited by lack of coding skills.
Companies that adopt Gumloop early may also gain a competitive moat by creating proprietary automation knowledge bases that are difficult for rivals to replicate.
How Gumloop Aligns with UBOS’s Vision
UBOS has long championed the democratization of AI through its suite of low‑code tools. The AI agent builder on UBOS shares a similar philosophy: enable any employee to create AI‑driven solutions without writing code.
Businesses exploring Gumloop can also benefit from complementary UBOS offerings:
- UBOS templates for quick start – pre‑built agent templates that accelerate deployment.
- AI marketing agents – specialized agents for campaign automation.
- UBOS partner program – co‑sell and integrate with Gumloop for joint customer success.
Real‑World Use Cases from the UBOS Marketplace
Below are a few UBOS marketplace templates that illustrate the breadth of automation possibilities, many of which can be adapted to Gumloop’s agent framework:
- AI SEO Analyzer – automatically audits website SEO and generates improvement reports.
- AI YouTube Comment Analysis tool – extracts sentiment and trends from video comments.
- AI Article Copywriter – drafts blog posts from outlines in seconds.
- AI Survey Generator – creates targeted surveys based on product goals.
- Web Scraping with Generative AI – extracts structured data from unstructured web pages.
- AI Video Generator – turns scripts into short marketing videos.
- AI Audio Transcription and Analysis – transcribes meetings and highlights action items.
- AI Chatbot template – deploys a conversational assistant for customer support.
- Customer Support with ChatGPT API – automates ticket triage and response drafting.
- Multi-language AI Translator – provides real‑time translation for global teams.
Next Steps for Interested Enterprises
Companies ready to explore AI‑driven automation can start by:
- Requesting a demo of Gumloop’s agent builder to see live use‑case creation.
- Evaluating existing UBOS tools such as the Web app editor on UBOS for rapid prototyping.
- Joining the UBOS partner program to co‑develop custom integrations.
- Reviewing the UBOS pricing plans to align budget with expected ROI.
By leveraging both Gumloop’s low‑code AI agents and UBOS’s broader automation ecosystem, enterprises can accelerate their journey toward becoming truly AI‑native organizations.
External Reference
For the full story and additional details, see the original TechCrunch coverage: Gumloop lands $50M from Benchmark to turn every employee into an AI agent builder.
About UBOS
UBOS is a leading provider of low‑code AI platforms that empower businesses of all sizes to build, deploy, and scale intelligent applications without deep technical expertise. Learn more on the UBOS homepage or read the About UBOS page for the company’s mission and history.
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