AI-native sportsbook and casino platform for iGaming operators
Trivelta builds sportsbook and casino infrastructure for iGaming operators, with native mobile apps, AI-driven personalization and risk tooling. Its multi-cloud footprint (AWS, GCP, Azure) on Kubernetes and Terraform, plus a deep test-automation stack (Playwright, Cypress, Selenium), points to a young company hardening for regulated scale. Engineering-heavy hiring is accelerating, and job posts cluster around fraud loss, payments and IT built out across multiple entities.
Notable leadership hires: Managing Director
Trivelta is a privately held iGaming technology company headquartered in Boston, Massachusetts, founded in 2023 and now in the 201–500 employee range. It sells a platform to sportsbook and gaming operators that includes native iOS and Android apps, AI-powered personalization and risk management, and built-in social features. The company supports operators across multiple international markets. Hiring spans Mexico, India, Spain, the United States and South Africa, covering engineering, product, data, design, finance, operations and support.
Trivelta runs on AWS, GCP and Azure with Amazon EKS, Kubernetes and Terraform, builds in Python, Java, TypeScript and React, and tests with Playwright, Cypress and Selenium via Jenkins, GitLab CI/CD and CircleCI.
Trivelta is hiring in Mexico, India, Spain, the United States and South Africa, with engineering making up the largest share of open roles and hiring velocity accelerating.
Current projects include backend services for sportsbook and casino platforms, fraud-detection data pipelines, payment performance improvements, geolocation access-control integration and API test automation.
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Trivelta'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.