Cloud-native low-code iPaaS for enterprise application integration
Digibee runs a low-code integration platform (iPaaS) built on a multi-cloud footprint spanning AWS, GCP and Azure, with Kubernetes, Terraform, Helm, Flux and Backstage pointing to a mature GitOps and internal-developer-platform setup. An ML toolkit of PyTorch, TensorFlow and Hugging Face Transformers suggests AI work alongside core integration. Hiring is near-dormant, limited to a single ops internship.
Digibee, founded in 2017 and headquartered in São Paulo, Brazil, builds a cloud-native, low-code integration platform that connects enterprise applications, processes and data. The product is positioned as an iPaaS for corporate customers pursuing cloud data integration, automated workflows and distributed architecture. The company has a presence across the Americas, including an office in Weston, Florida. It is privately held and employs 51–200 people. Go-to-market tooling includes HubSpot, with analytics spread across Power BI, Tableau, Looker and Data Studio.
Digibee runs on AWS, GCP and Azure with Kubernetes, Terraform, Helm, Flux, Backstage and GitLab, plus Python, JavaScript and MongoDB, and ML libraries such as PyTorch, TensorFlow and Hugging Face Transformers.
Digibee is headquartered in São Paulo, SP, Brazil, and also has an office in Weston, Florida.
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Digibee'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.