AI grounded in
your actual data.
Generic black-box AI isn't trained on your business. We build custom machine learning models, predictive scoring systems, and LLM integrations that are grounded in your actual data and built for production — not just demos.
The problem we solve
- Off-the-shelf AI tools aren't trained on your data — the outputs don't fit your business.
- Your team wants to use LLMs but there's no safe, structured way to connect them to internal data.
- Predictive models exist but no one can explain how they work or why to trust them.
- AI pilots get launched, produce interesting output, and die because there's no production path.
How ADM solves it
- We build custom ML models trained on your actual data — not generic benchmarks.
- We design safe LLM integrations with your internal knowledge base and data systems.
- We build interpretable models: every prediction comes with reasoning your team can act on.
- We engineer production paths from the start — no pilots that never ship.
What we build
How we work
Use Case Definition
We work with your team to define exactly what decision the model should improve. Vague AI is useless. We start with the business outcome.
Data Readiness
We assess your data quality, coverage, and labeling — and fix what needs fixing before any model training begins.
Model Development
We build the right model for the job: regression, classification, NLP, embedding, or LLM-powered reasoning. Always explainable. Always production-ready.
Integration & Monitoring
We deploy the model into your workflow, build the monitoring layer to catch drift, and hand off with full documentation.
What decision do you want AI to improve?
Start there. We'll design the model, build it on your data, and ship it to production.
Talk to an AI Engineer