Machine learning
Machine learning that earns its place in the workflow.
We build ML where it changes a decision your business makes.
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What we do
Scoring and ranking
Candidates ranked against what actually matters, with the evidence attached.
Retrieval
Embeddings that make a messy catalogue answer plain-English questions.
Forecasting
Demand, availability, and workload seen ahead of time.
Classification
Documents, calls, and records routed without a person reading each one.
How we do it
- 1
Name the decision
The score, rank, or prediction that changes an outcome.
- 2
Baseline
If a rule beats the model, ship the rule.
- 3
Train and verify
Measured against source data, not impressions.
- 4
Deploy and watch
Drift checks in production, owned by your team.
A model is a claim about the future. We treat it like one.
Baselines first
If a rule beats the model, ship the rule.
Verified against source
Verified means confirmed in the register that owns the claim.
Drift handling
Independent checks re-read the output, because models drift.
Owned by your team
Pipelines and checks live in your repository, version-controlled.
What you'll achieve
A decision changed
The score, rank, or prediction lands in the workflow where the decision is actually made.
Numbers you can defend
Performance measured against source data, not impressions.
A model your team can keep
It ships with the pipelines, checks, and drift monitoring needed to hold up after we leave.
Common questions
Do you build custom models or use existing ones?
Whichever the evidence supports. Most business problems are solved by the right architecture around existing models; custom training earns its place where your data is a real advantage.
What data do we need to start?
Less than you fear. We start with the data you have, measure the gap, and only then invest in collection or labelling.
How is this different from your AI development service?
Same pod model. This page is for buyers whose problem is a decision to score, rank, or predict; AI development covers the wider product build around it.
Tell us what you need built.
A 20 minute call is enough to work out whether a pod fits. The first week of work is defined on that call.