The old way
A new pipeline for every question.
Each use case is its own months-long project — wrangling, feature engineering, a brittle model that still hits a ceiling. Ten questions, ten pipelines to maintain.
Built on your data, run in your infrastructure
One model.
Every use case.
Lua builds a single foundation model on your data — trained, fine-tuned and deployed inside your own infrastructure — that powers every predictive use case in your business.
With Lua
One model for every question.
Lua trains a single foundation model on your data and fine-tunes it for each use case — one brain, state-of-the-art everywhere, improving over time.
How it works
From your data to a model that predicts.
An ongoing partnership, not a tool you're left to run alone — here's how we build and run your model.
01 — Connect
Connect your data
We work with your team to select and connect the data you already have — wherever it lives, inside your own environment.
02 — Train
We build your model
Lua trains a single foundation model on your data, inside your infrastructure — data selection, training and tuning handled end to end.
03 — Deploy
Deploy across every use case
Fine-tune the model for each prediction and ship to production — with Lua monitoring and improving it over time.
Performance
State of the art, on your data.
Your model matches or beats bespoke pipelines tuned for months — across every use case it serves.
One
foundation model serving every predictive use case in your business.
100%
of training and inference runs inside your own infrastructure.
SOTA
performance on every task, benchmarked head-to-head against bespoke pipelines.
Task · AUROCBespoke pipelineLua
Customer churn 0.86 0.89
Fraud detection 0.91 0.94
Credit default 0.83 0.87
Demand forecast (sMAPE↓) 12.4 9.8
Deploy anywhere
Trained and served where your data lives.
Lua runs the whole process — training, tuning and inference — inside your perimeter. Your data never leaves. Your cloud, your rules.
Your cloud
AWS, GCP or Azure — trained and served right beside your warehouse.
Private VPC
Fully isolated networking. No data egress, no third-party calls.
On-premise
Air-gapped and regulated environments, including bare metal.
The edge
Low-latency inference close to where decisions get made.
Use cases
One model. Every prediction.
From the clinic to the trading desk — one model, fine-tuned for whatever your business needs to predict next.
Healthcare
Clinical outcomes
Readmission, deterioration and length-of-stay risk from the EHR you already have.
Growth
Churn & retention
Spot the accounts about to leave while there's still time to act.
Risk
Fraud & abuse
Catch novel fraud patterns the moment they appear — no rules to maintain.
Finance
Credit & default
Calibrated, explainable risk scores for underwriting and collections.
Operations
Demand forecasting
Plan inventory and staffing against predictions you can trust.
Revenue
Lead scoring
Point sales at the prospects most likely to convert this quarter.
Blog
Notes from the lab.
Research, engineering and field notes on putting one model to work.
One model per company, not one model per question
The value isn't skipping work — it's the representations you only get by training on all your operational data at once.
Read the post →
Training inside your perimeter, end to end
How Lua trains, serves, and improves your model entirely inside your own infrastructure.
Read →
From raw tables to a deployed model in two weeks
What a typical onboarding looks like, from data selection to a model in production.
Read →
Calibration that underwriting teams can trust
Turning model scores into decisions, with uncertainty you can act on.
Read →Reach the moon, together.
See what a model built on your own data can do in a 30-minute session with our team.