Leanware is an AI engineering company that partners with businesses and startups to build custom AI agents, engineer products, and provide dedicated AI teams. With a perfect 5/5 client satisfaction score and six years of experience, Leanware focuses on delivering measurable outcomes through a unique milestone-based billing model. Clients pay for shipped, testable milestones rather than unverifiable hours, ensuring transparency and accountability.
Leanware’s core offering includes custom AI agents that automate operational tasks, freeing teams from manual work. For startups, they ship AI products from concept to launch, as demonstrated by GloFlow, a cross-platform AI fitness app built in roughly four months. The app features conversational AI, photo-based food recognition, multi-provider model routing, and a Supabase backend. For established businesses, Leanware provides ROI assessments to identify where AI delivers value, with a two-week sprint that yields actionable insights—kept by the client even if they choose not to build further.
Technical details: Leanware’s teams are lean and AI-augmented by default, using AI in every workflow to maintain high throughput without communication drift. Sprint 0 is executed by the same engineers who write production code, eliminating handoff errors and requirements drift. They offer retained AI-fluent engineers who are interviewed by clients before joining, ensuring cultural and technical fit. The company also specializes in software project rescue, as seen with Notary.io, where they stabilized an unstable platform and reduced engineering spend.
Use cases range from custom AI grading software for the University of Colorado—a multi-model AI agent that grades dental crown preps against configurable rubrics—to embedded teams for computer vision SaaS like Groundlight. Leanware’s approach ensures turnkey ownership of outcomes, from scoping to production, with no change-order surprises. Their small, context-tight teams and milestone billing make them ideal for businesses seeking predictable costs and tangible results.
startups, established businesses, product teams, engineering teams, operations teams, AI engineering companies
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