Models grounded in your data, and proof that they work.
Retrieval over your documents, fine-tuned language models, classical machine learning for forecasting and classification, and the evaluation harness that turns 'it seems to work' into a number.
- Retrieval
- Search and question answering over your documents, databases, and records
- Fine-tuning
- Language and vision models adapted to your domain and formats
- Classical ML
- Forecasting, anomaly detection, classification, optimisation
- Evaluation
- Test sets from your real cases, run on every change
Pick the smallest model that solves the problem.
Retrieval-augmented generation
Your content indexed, permission-aware, and served to a model so answers are specific and cited rather than generic.
Fine-tuning
When prompting isn't enough: adapting open-weight or hosted models to your vocabulary, formats, and quality bar.
Forecasting and anomaly detection
Demand, cash, capacity, and operational signals modelled on your history, with uncertainty shown rather than hidden.
Classification and extraction
Routing, tagging, and pulling structured data out of unstructured documents, images, and messages.
Vision
Inspection, document understanding, and recognition tasks on images and video.
Evaluation and monitoring
A test set built from your real cases, run on every change, with production monitoring for drift.
Measured, or it doesn't ship.
Every model we deliver comes with an evaluation set, the number it scores, and what that number means for your decision. We'd rather tell you a model isn't good enough than let you find out from a customer.
Model choice is a decision, not a default
Frontier models, open-weight models, or a logistic regression, chosen for accuracy, cost, latency, and privacy on your task.
Your data stays yours
Nothing you give us trains a model you don't own. Deployment options respect where your data is allowed to live.
DANT, when the analytics need to adapt.
Our own platform for adaptive predictive analytics. It combines proprietary and external data and refines predictions as new data arrives, with an API for integration.
Tell us what you're trying to do.
A thirty-minute conversation with an engineer, not a salesperson. We'll say plainly whether AI is the right tool for it, and what it would take.