Full-stack AI and custom software development partner for enterprises
Leapfrog is a 201–500-person custom software and AI engineering firm headquartered in Seattle, selling to 200+ enterprises. The tech stack reveals a dual specialization: classical ML infrastructure (Python, PyTorch, TensorFlow, scikit-learn) alongside modern cloud platforms (AWS, Azure, Salesforce). Active projects center on GenAI integration, RAG pipelines, and LLM API work, while pain points cluster around deploying AI at scale, code-quality risks from AI-generated output, and AWS partnership compliance — indicating they're scaling generative AI delivery but still operationalizing it internally.
Notable leadership hires: Tech Lead AI
Leapfrog Technology develops custom software and AI-powered digital products for mid-market and enterprise clients across healthcare, fintech, and general digital transformation. Founded in 2010, the firm operates as a full-stack services partner, offering product development, web applications, and data engineering, with growing emphasis on GenAI and machine learning integration. The company maintains AWS partnership status and is headquartered in Seattle with engineering operations spanning India and Nepal. Hiring is accelerating with senior engineering and AI leadership roles leading the staffing trajectory.
Python, PyTorch, TensorFlow, scikit-learn for ML; Java, Scala for backend services; React for frontend; AWS and Azure for cloud infrastructure; Salesforce for CRM; Oracle Database and Spring Boot for enterprise applications.
GenAI feature integration, RAG pipeline implementation, LLM API integration, agentic workflows, and scalable cloud-native application development. Also managing AWS partner program compliance and internal funding playbooks.
Leapfrog Technology, 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.