Production, not demos
A system is finished when it runs reliably on real work, is monitored, and someone is accountable for it. Not before.
Lapi is an AI services firm. We build, host, secure and operate AI systems for organizations that need them to work in production, not to demo well. And we help organizations license their data to AI labs safely, with personal information removed before anything leaves their site.
Our team comes from infrastructure, security and applied machine learning. These principles come from seeing what goes wrong when they're ignored.
A system is finished when it runs reliably on real work, is monitored, and someone is accountable for it. Not before.
The best way to protect personal data is to not hold it. We design systems and processes so sensitive data never reaches us.
If AI isn't the right answer, or your data won't sell, we will tell you before you spend anything.
In data licensing we succeed only when the owner is paid fairly and the licensee gets what was promised.
We don't hand over software and wish you luck. We build, deploy, monitor and improve. You get a working system and a team that keeps it working, with the documentation and audit trail to prove it.
We audit your workflows, data and compliance requirements. That becomes the spec, with expected impact attached.
We build the system, connect it to your infrastructure, configure security controls and validate it against your requirements.
The system runs alongside your team on real work until it meets the agreed bar, before it takes over anything.
Around-the-clock monitoring, weekly reports, continuous improvement and the documentation your auditors need.
Predictable managed-services agreements based on scope, integration complexity and volume. Every engagement starts with a scoping assessment that defines the expected impact before a line of code is written. No per-minute billing, no surprise overages.
Whether it's an operational problem, a dataset or a model that needs data, we'll give you a straight answer on what's possible.