We connect collection, engineering and applied AI into one working system, so your team can act on markets that refuse to sit still.
Five connected stages take raw external information to decisions your organisation can defend. Each stage has an owner, a contract and a health signal, because a chain this important should not be held together by hope.
We map where the truth about your market actually lives.
Systems capture it continuously, politely and with provenance.
Extraction reconciles the captures into one consistent model.
Pipelines deliver the model where decisions are made.
Analysis, alerts and AI turn delivery into advantage.
Six practices, one connective layer. Each engagement starts with the decision you need to make and works backwards to the source.
Harvesting infrastructure that keeps working while the web rearranges itself underneath it.
Turning tangled pages, feeds and documents into tables a business can actually query.
A live reading of how your products actually appear where customers actually shop.
Repetitive data work converted into systems that run quietly and predictably.
Applied machine learning aimed at decisions, not demonstrations.
Storage, processing and delivery layers sized for tomorrow's volume, not just today's.
We begin where your decisions are made, then walk upstream: what information would change the call, which sources carry it, what system keeps it current. Technology follows that map instead of leading it.
The questions change by industry. The demand for structured, current, trustworthy data does not.
Know your shelf position everywhere your products are sold.
See the market the way your buyers see it.
Evidence pipelines built to survive methodology review.
Rate, availability and reputation, observed continuously.
A dataset that arrives late is a rumour. We treat delivery times, error budgets and recovery behaviour as product requirements, designed in from the first sprint.
We attach numbers to cleanliness: match rates, field completeness, source agreement. When quality moves, you see the movement and its cause, not just a vague worry.
Systems that work for ten sources and collapse at a thousand were never designed. We build for the volume you are heading toward and rehearse the growth before it happens.
Access rules, rate limits and data protection duties belong in the design, not the appendix. Infrastructure that respects its sources is infrastructure that lasts.
Illustrative system shapes, drawn from the kinds of problems we solve. Not client projects, not performance claims.
A continuously refreshed corpus of product, price and availability observations from a defined market, queryable through stable interfaces and ready for analytical or operational reuse.
A focused tracking view that follows selected products across chosen retailers, comparing content, placement and pricing signals and raising exceptions when patterns shift.
A service layer that reconciles records from disagreeing sources, scoring confidence and routing uncertain cases to review instead of silently guessing.
A set of scheduled workflows that move data between systems, apply agreed business rules, and report their own health without requiring a human to remember them.
The name is the method: many small offshoots of data, joined deliberately into something that carries weight.
More about us →Tell us what decision is stuck. We will tell you what data could unstick it.