Machine Learning

AI That Predicts, Scores, and Reads Your Data

Agents decide what to do next. Underneath them sit models that make the calls that have to be fast, cheap and measurable. We train those models on your own data, test every one against a labelled set before it goes live, and attach the reasons to every prediction. Forecasting, scoring, extraction, detection, all built for your business rather than borrowed from someone else's.

Book a Demo

60%

Lower Inference Cost

100%

Explainable Scores

2-6 Weeks

To Production

On-Prem

Deployment Ready

Features

What's Included

Everything needed to put custom models to work on your data, measured before launch and watched after it.

Demand and Revenue Forecasting

Forecast demand, cash and capacity weeks ahead, with a confidence range on every number instead of a single guess.

Risk and Credit Scoring

Score customers, vendors, borrowers and applicants against your own history, with the reasons behind every score attached.

Lead and Opportunity Scoring

Rank every lead, account and deal by likelihood to close, so your team works the list in the right order.

Churn and Retention Prediction

Know which customers, students or subscribers are about to leave, months before they do.

Document Extraction

Pull structured fields out of invoices, contracts, forms, statements and scans with no template and no fixed layout.

Fraud and Anomaly Detection

Catch duplicate invoices, changed bank details, unusual approvals and transaction patterns that do not fit.

Classification and Routing

Sort tickets, transactions, products, documents and enquiries into your own categories automatically.

Entity Resolution

Match messy names, addresses and records to the right customer, vendor or company across every system you run.

Recommendation and Next Best Action

Tell your team or your customers what to do next, ranked by expected outcome.

Pricing and Valuation Models

Price properties, products, claims and assets from your own transaction history, inside guardrails you set.

Semantic Search and Matching

Find the right document, product, candidate or supplier by meaning rather than exact keywords.

Computer Vision and Inspection

Read images and video for defects, damage, safety compliance and asset condition.

Speech and Call Intelligence

Transcribe calls, separate speakers and turn conversations into structured data your systems can act on.

Model Cost Reduction

Train a small model to do one job as well as an expensive one, then run that instead. Same output, a fraction of the bill.

Private and On-Premises Models

Run every model inside your own network when your data is not allowed to leave it.

Evaluation and Monitoring

Every model is tested against a labelled set before launch and watched for drift after, so accuracy never quietly slips.

Industries

Built for Every Industry

We've delivered AI solutions across 8 industries. Whatever your sector, we've likely built something similar.

E-commerce Healthcare Marketing Finance HR & Recruitment Real Estate Operations Supply Chain

Model Types

What We Build and Train

The families of model we train, tune and deploy against your data.

Forecasting Models

Risk Scorecards

Propensity Models

Ranking Models

Extraction Models

Classifiers

Anomaly Detectors

Entity Matching

Recommenders

Valuation Models

Vision Models

Speech Models

Optimization Engines

Distilled Small Models

Integrations

Seamless Integrations

We connect with the tools you already use — no rip-and-replace required.

AWS

Google Cloud

Microsoft

Supabase

Salesforce

HubSpot

Notion

Slack

Jira

GitHub

Zapier

AWS

Google Cloud

Microsoft

Supabase

Salesforce

HubSpot

Notion

Slack

Jira

GitHub

Zapier

Custom Build

Don't see exactly what you need?

Every business is different. If your requirements go beyond what's listed here, we build fully custom AI systems from scratch — tailored to your specific workflows, data, and goals.

Built around your exact processes, not a template
Integrates with every tool and system you already use

Build Custom Solution →

Support

Machine Learning — FAQ

Agents decide what to do next and carry work end to end. Models make the specific calls that have to be fast, cheap and measurable, like a risk score, a forecast or a field pulled off a document. Most of our platforms use both, with the models sitting underneath the agents.

Not always. Some problems need years of history, others work from a few thousand labelled examples, and some start with no labels at all by learning the structure of your data first. We tell you which one you have before any build work begins.

Every model is measured against a labelled test set it has never seen, scored per field and per outcome, before it goes anywhere near production. You get those numbers, and we rerun them on every change.

Yes, and in regulated work it has to. Every score carries the reasons that drove it, so your team, your auditors and your customers can see why, rather than being handed a number with nothing behind it.

Models propose, your rules decide. Anything with money, legal or safety consequences passes through a deterministic engine and a human reviewer, never straight from a model into an action.

A focused model on data you already hold typically runs 2 to 6 weeks from kickoff to production, including the evaluation work. Where data has to be collected or labelled first, we scope that as its own stage and tell you before we start.

Ready to Put Your Data
to Work?

Let's find the one prediction that would change how your business runs, and build the model for it.