A scraper pulls pages. It doesn't know if it's allowed to, or if the number is right.
Web scraping just fetches pages. Data & Market Intelligence is what has to happen around that for the numbers to be usable in a real business decision: knowing which data points actually matter, checking whether a site's terms allow collection at all, tracing every figure back to its source, routing anything uncertain to a person, and scoring the confidence of every field before it reaches your dashboard.
We identify the specific data points that matter for your decision, not every field on the page.
If a site's terms prohibit scraping, that source is handed to a person, not collected anyway.
Every figure is traceable back to the exact page and timestamp it came from.
Ambiguous pages, blocked sources and low-confidence reads go to a person, not a guess.
Every field in every database carries a confidence score, so you know which numbers to trust and which to check before you act on them.
Seven problems, one capability
Demand, pricing and category movement tracked continuously rather than surveyed once a year.
Assortment, price changes, promotions and positioning, monitored across the sites that matter.
Listings, stock, reviews and marketplace behaviour matched back to your own catalogue.
Who your suppliers are, what changed, and where concentration risk sits.
Rule changes in your markets, surfaced with the source they came from.
Your own transaction and behaviour data, structured so it can actually be questioned.
Existing records completed, corrected and kept current against external sources.
That is what discovery is for. Most engagements start with a question, not a specification.
A consulting partnership, not a signup
- 01Discovery
Two to three weeks. We work out which decisions are being made blind, what data exists, and what a useful answer would look like.
- 02Pilot
One narrow slice, run on your real sources. You see accuracy, provenance and confidence scores before anything scales.
- 03Production
The pipeline runs on a schedule, with human review where it earns its cost. We build and integrate the software the intelligence lives in — the dashboard, the API, the workflow.
- 04Hold accuracy
Sources change and sites break. We monitor, repair and keep the numbers trustworthy — that is the part most projects underestimate.
Two engagements
Seeing its own catalogue and its competitors' in the same view
- Context
- An online retailer in Europe, selling across its own store and third-party marketplaces.
- The problem
- Pricing and assortment decisions were being made from a manually assembled spreadsheet that was already out of date when it landed. Nobody could say what a competitor had changed that week, and the company's own sales data sat in a separate system from the market picture.
- What we built
- A monitored pipeline over competitor storefronts and marketplace listings — price, availability, assortment and reviews — matched product-by-product against the client's own catalogue, with provenance on every field and human review on low-confidence matches. Delivered as a dashboard for the commercial team and an API into their pricing workflow.
- Capabilities
- Source discoveryProduct matchingLLM enrichmentConfidence scoringHuman-in-the-loopAPI integration
Our own data intelligence pipeline
Every engagement runs on infrastructure we built and operate: governed source discovery and acquisition, AI enrichment, evidence and provenance on every field, confidence scoring, human review where it pays, and structured delivery into your systems.
You are not buying the platform. You are buying the outcome it makes possible — which is why we can start in weeks rather than quarters.
- 01Source discovery & acquisition
- 02AI enrichment & structuring
- 03Evidence, provenance & confidence scoring
- 04Human review
- 05Structured delivery — API, warehouse, dashboard
Bring us a decision you are making without enough information.
A discovery session is a working conversation, not a demo. You will leave it knowing whether this is worth doing — including if the answer is no.