Software engineering
Architecture, APIs, back end, interface and deployment.
LAVANCO is here to build useful AI, not stage it.
We learn the problem with your team, test feasibility and build something that remains understandable, maintainable and measurable after handover.
Mission
Turn AI into a useful, governable and maintainable capability inside an organization.
Vision
Organizations should gain from AI without giving up control of their data or decisions.
A polished demo is not the outcome. The outcome is work your team can use with confidence every day.
Values
What shows up in our working behavior
- Engineering qualityCoherent, testable, maintainable architecture.
- ResearchDecisions grounded in testing and evaluation.
- TransparencyClear reporting on progress, cost and risk at every stage.
- AccountabilityOwning errors, security and outcomes.
- CollaborationWorking closely with your team, discovery to improvement.
How we work
Software, data and evaluation work as one team
The three disciplines share decisions from the first workshop through deployment.
Data engineering
Data pipelines, quality, retrieval and analysis.
Applied research
Model testing, evaluation and feasibility of new problems.
People
The disciplines accountable on every project
Software engineering, data engineering and applied research — three disciplines with your project from the first session to deployment.
Software engineering
Architecture, APIs, back end, interface and deployment.
Data engineering
Data pipelines, quality, retrieval and analysis.
Applied research
Model testing, evaluation and feasibility of new problems.
Behind the work
Design, test and review before deployment
Partnership
Have one specific process worth examining?
Tell us how it works today and which outcome needs to improve.
