Gumloop is a no-code AI automation platform launched in 2023, built on Python, TypeScript, and React with infrastructure (Kubernetes, Docker, Redis, GCP, Terraform) that signals serious scale ambitions. The hiring mix—13 senior roles across engineering and design, with active pipeline work (CI/CD, cluster design)—indicates the company is moving from product-market fit into infrastructure hardening. Current pain points around 'owning infrastructure at scale' and 'automating real work across hundreds of integrations' reveal they're hitting the complexity wall that separates early-stage automation tools from production-grade platforms.
Gumloop enables non-technical teams—marketing, sales, ops, support—to build and deploy AI-powered workflows without code. The platform is positioned as a team-owned alternative to traditional automation, where end-users design agents directly rather than submitting engineering tickets. The product integrates with operational systems (Salesforce, HubSpot, Slack) and design tooling (Figma, Webflow, Framer), reflecting a focus on teams already embedded in modern workflows. Founded in 2023 and based in San Francisco, the company operates at 11–50 employees with active hiring in the United States and Canada, concentrated in engineering and design roles.
Gumloop runs on Python and TypeScript for backend/frontend (React, Redux, Tailwind CSS), with cloud infrastructure (GCP, Kubernetes, Docker, Redis) and DevOps tooling (Terraform, CI/CD, Prometheus). They integrate Salesforce, HubSpot, Slack, and design tools like Figma and Webflow.
Current projects span product design (UI design system, concept-to-delivery workflows), infrastructure scaling (Kubernetes clusters, CI/CD pipelines), brand presence (marketing pages, visual identity), and high-converting pilot programs. Internal challenges include scaling infrastructure, automating workflows across hundreds of integrations, and turning automation opportunities into production.
Gumloop's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.