Discovery and build, in one room.
Sprint 0 is run by the same people who write the production code after it. No handoff, no requirements drift.
AI ENGINEERING COMPANY
Making AI Actually Useful.
For businesses figuring out where AI pays off, and startups building AI products. Our teams are lean and AI-augmented by default, billed against milestones you can test, not hours you can't audit.
What does Leanware do?
We make AI actually useful for businesses and startups.
How?
For startups, we create or evolve their products with AI-augmented engineering. For businesses, we streamline their operations creating AI Agents.
What's your track record?
We've been building software for 6 years, for over 25 startups and businesses worldwide, with a 5/5 satisfaction score. Now we put that engineering discipline behind AI.
Trusted by great companies.
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Groundlight -
GloFlow -
Asana Rebel -
ElephantCPA -
DocBraces -
Notary -
Plannerd
WHAT WE DO
Applied AI in the shape of
Managed Custom AI Agents
An AI agent that does the operational work your team does by hand. We build it. We run it.
Learn about Custom AI AgentsAI Product Engineering
Ship the AI product on your roadmap. You pay against milestones you can test, not hours.
Learn about Product EngineeringAI ROI Assessment
Know exactly where AI pays off in your business. Two weeks. Yours to keep, whether you build with us or not.
Learn about the AssessmentDedicated AI Engineering Teams
AI-fluent engineers on your team, retained monthly. You interview each one before they join.
Learn about Dedicated Teams WHY US
Not a consulting firm. Not staff aug. Not a dev shop.
Turnkey ownership of outcomes, from scoping the work to running it in production.
Lean by design, augmented by AI.
Small teams keep context tight and decisions fast. AI in every workflow holds the throughput a much larger team would need, without the comms drift.
Milestone-billed, not hourly.
You pay against shipped milestones you can test, not hours you can't audit. We are straight about what the work costs, with no change-order surprises once it is underway.
HOW WE COMPARE
Same question, different answers.
Five questions worth asking before you hire.
Question
Consulting firms
Staff aug marketplaces
Dev shops
Leanware AI Engineering Co.
The team scoping the work also builds it
Same hands, scoping to production
AI fluency on every seat
Baseline, not premium
Fixed commercial shape, no hourly billing
Fixed-bid common
Four fixed-scope offerings
We run the system in production
Managed agents included
You interview each engineer first
Marketplace standard
Replacement + buyout written in
RECENT WORK
What we built, and for whom.
Multi-provider AI evaluation backend in production across OpenRouter, OpenAI, Google, and Anthropic
University of Colorado (Evan Menke)
A custom AI agent built with the University of Colorado that evaluates dental student crown preparations against configurable rubrics. Multi-model orchestration across OpenRouter, OpenAI, Google, and Anthropic, integrated with a Base44 frontend.
Managed Custom AI Agents Read case study Concept to launch in approximately four months across iOS and Android
GloFlow
A milestone-billed product build that took GloFlow from concept to launched cross-platform AI fitness app on iOS and Android in roughly four months. Conversational AI, photo-based food recognition, multi-provider model routing, and a Supabase backend.
AI Product Engineering Read case study Platform stabilized: session-drop defects eliminated, with notarization sessions running uninterrupted end to end
Notary.io
Notary.io came to Leanware frustrated with a previous team and a notarization platform that was unstable and running over budget. A lean, AI-augmented engineering team rebuilt session reliability, moved the infrastructure to Kubernetes, and brought engineering spend back under control.
Dedicated AI Engineering Teams Read case study Frontend launches every 2 to 3 weeks, up from a small fraction of that pre-engagement
Groundlight
A four-engineer team embedded with Groundlight, a US computer vision SaaS, since December 2022. The team ships frontend and backend product work against the Groundlight roadmap, retained on a monthly basis.
Dedicated AI Engineering Teams Read case study TRACK RECORD
- CLUTCH VERIFIED 5.0 /5 Clutch rating, 20+ verified reviews
- 6 yrs Building software since 2020
- GMT-5 Bogotá · US-hours alignment
CLIENTS · CLUTCH VERIFIED
In their words.
We trust their judgment because they are extremely reliable.
Morgan Venable
Head of Product, Groundlight
Leanware is transparent, and they're very honest with the work that they do.
Christopher Massood
Co-Founder & CEO, ElephantCPA
Leanware did excellent work. The AI agent keeps improving as it sees more cases.
Evan Menke
University of Colorado
QUESTIONS
What people ask before they call.
What is an AI Engineering Company?
A firm that combines AI fluency (LLM orchestration, evaluation, observability) with conventional software engineering. These companies typically run with lean, AI-powered, senior teams that scope engagements and ship the production system without handoffs. Leanware is one.
How is AI engineering different from a traditional dev shop?
The same engineer designs prompts, picks models, writes glue code, and ships the production system. AI fluency is the baseline on every engagement, not a premium tier.
What does a Managed Custom AI Agent do for me?
It runs a specific workflow or task for your business (process invoices, enrich leads, triage support, review contracts). We build, deploy, run, and maintain it in production. You pay a monthly fee. We handle everything else.
What's the difference between AI Product Engineering and Dedicated AI Engineering Teams?
AI Product Engineering ships your AI product against testable milestones with a defined endpoint. Dedicated AI Engineering Teams is ongoing monthly capacity, AI-fluent by default. Builds with a defined endpoint use the first; ongoing capacity uses the second.
What do I leave the AI ROI Assessment with?
A ranked list of AI opportunities for your business with ROI projections and an AI implementation roadmap. Two weeks. Yours to keep, whether you build with us or not.
Who does Leanware work with?
Startups building an AI product, and businesses using AI to run more efficiently. On the startup side: founders and early-stage teams who need the product itself shipped. On the business side: operators automating workflows, or leaders mapping where AI pays off across the company. Not enterprise procurement. Not freelance staff aug.
READY?
Talk to someone who gets your business. And can build the solution.
Bring the problem you're working on. Leave with a clear next step.
Tell us what you're working on. Someone who understands the business and the engineering will reply with a clear next step.