Digibee Tech Stack

Low-code iPaaS platform for enterprise cloud integration

Software Development São Paulo, SP 51–200 employees Founded 2017 Privately Held

Digibee operates a low-code integration platform (iPaaS) serving 250+ enterprise customers across Latin America and the US. The tech stack reveals a dual operating model: Kubernetes/Terraform/Helm/GitLab for platform infrastructure, paired with Python/TensorFlow/PyTorch/Hugging Face for AI capabilities — a pattern matched by active projects in agentic AI and generative AI model development. Hiring is concentrated in engineering with senior-level focus, and the project portfolio signals a pivot toward AI-augmented integrations alongside cost-optimization tooling (FinOps, cloud spend visibility), suggesting the platform is moving beyond traditional iPaaS.

Tech Stack 61 technologies

Core StackFigma Kubernetes Terraform Helm AWS GitLab SonarQube Power BI Tableau Looker Python TensorFlow PyTorch Java Node.js iPaaS Flux GCP Azure Backstage Artifactory AWS Cost Explorer Azure Cost Management Hugging Face Transformers GPT-2 BERT GPT Google Bard LLaMA Kong+30 more

What Digibee Is Building

◆Challenges

Eliminating technical debt
Complex integration projects
Cloud cost inefficiencies
Lack of cloud spend visibility
Wasteful infrastructure scaling
Complex integration scenarios

▲Active Projects

Integration projects across latam and us customers
Agentic ai experiences
Design system evolution
Ai product transformation
Implement finops practices
Build cloud spend visibility reports
Identify idle resources
Generative ai model development
Ai-based feature development
Integration platform

Hiring Activity

Accelerating7 roles · 7 in 30d

Department

Engineering

Design

Finance

Marketing

Sales

Seniority

Senior

Mid

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About Digibee

Digibee builds a cloud-native, low-code integration platform for enterprises managing complex multi-application workflows. Founded in 2017 and headquartered in São Paulo with a US office in Weston, Florida, the company serves 250+ corporate customers across retail, financial services, logistics, and media sectors. The platform claims 10x faster integration cycles than competing solutions and operates across AWS, GCP, and Azure. Current development priorities center on agentic AI experiences, design system maturity, and FinOps tooling to address customer pain points around cloud cost control and infrastructure waste.

HeadquartersSão Paulo, SP

Company Size51–200 employees

Founded2017

Hiring MarketsBrazil

Frequently Asked Questions

What tech stack does Digibee use?

Digibee's platform runs on Kubernetes, Terraform, Helm, and GitLab for infrastructure; AWS, GCP, Azure for cloud; and Python, TensorFlow, PyTorch, and Hugging Face Transformers for AI/ML capabilities. Kong handles API gateway duties.

What is Digibee working on?

Active projects include agentic AI experiences, generative AI model development, design system evolution, FinOps implementation, and cloud spend visibility reporting — indicating a shift from pure iPaaS toward AI-driven integrations and cost optimization.

How this profile is built

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.