Leanware Verified Company

A lean AI engineering firm, building in the open since 2020.

We started Leanware because we kept watching good companies get poorly served by the two shapes available to them: consultancies that wrote decks but could not build, and engineering shops that could build but never understood the business. We are trying to be the third shape. A small, AI-native firm where the senior engineer understanding your business is the same one that writes the code.

WHAT WE BELIEVE

A few things we hold, stated plainly.

These are the working beliefs that shape how we hire, how we scope, and how we talk to the people we work with. They are not values posters. They are how we actually argue when a call gets hard.

• Honesty over polish.

  We would rather be unflattering and right than flattering and wrong. When the data does not support the conclusion, we say so on the call, including when that costs us the engagement. The discipline shows up in our case studies: outcomes are measured or they are not claimed, and we have walked away from cases that did not survive that test.

• The person who scopes the work does the work.

  No discovery-to-delivery handoff between separate teams. The senior engineer who runs your scoping call is the same senior engineer accountable for the system that ships. We picked this posture because every project we have seen fail badly has failed at that handoff, and we have not found a way to make it fail less.

• AI fluency is the baseline, not a premium tier.

  Every engineer at the firm ships LLM-based features as part of normal engineering work. There is no AI specialist team you have to schedule into the engagement separately. The same person picks the model, writes the prompt, builds the eval harness, and ships the deterministic code around it. We hire and train for that, and it is part of what we mean when we say AI-native.

• Boutique on purpose.

  We could grow faster than we do. We choose not to. Staying small is what lets the senior people stay in engagements rather than getting pulled out to run a sales pipeline or manage a bench. The tradeoff is real: we cannot take every engagement that comes in, and we say no to work we would have to staff with people you have not met. We have found that constraint to be load-bearing, not limiting.