Application development and ML engineering services for enterprise infrastructure
Fuge Technologies is a services firm built around full-stack application development and emerging ML capabilities. The tech stack spans traditional enterprise infrastructure (Oracle, Teradata, PL/SQL) alongside modern cloud and ML tooling (AWS, Kubernetes, TensorFlow, PyTorch), with active projects in scalable ML on AWS and CI/CD for model workflows. Pain points cluster around ML reliability—data migration, deployment, and workload optimization—suggesting the company is positioning ML as a differentiator while navigating the shift from legacy application services.
Fuge Technologies provides application development and infrastructure services to mid-market and enterprise clients, covering the full lifecycle from analysis and design through development, QA, implementation, and maintenance. The company operates as a talent-placement and delivery partner, staffing client projects with application and data professionals. Based in Irving, Texas, the firm employs 51–200 people, with engineering and data roles concentrated at mid and junior levels, supported by a smaller leadership and senior engineering tier.
Python, Java, Go, C++, C#, Rust; Oracle, MongoDB, MySQL, Teradata; Kubernetes, Docker, AWS, Jenkins, Spring Boot, TensorFlow, PyTorch.
Scalable ML solutions on AWS, CI/CD pipelines for ML workflows, model serving and monitoring, analytical dashboards, data analytics, and web application testing automation.
Fuge Technologies Inc'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.