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.
A scraper pulls pages. Data & Market Intelligence delivers trusted, decision-ready data.
A generic scraper fetches pages and extracts text, which leaves you cleaning, deduping and verifying before anyone can use it. We build the layer around the fetch: targeted extraction, terms-aware collection, defined schemas, confidence scoring on every field, and human review where automated collection isn't allowed.
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
A design framework for payment-provider and merchant data at scale
- Context
- A global financial institution needing a current, consistent read on the payment landscape in one geography — which providers operate there, and which merchants accept which cards and methods.
- The problem
- The data existed, scattered across an enormous number of merchant and provider sources in no consistent shape. Assembling it by hand consumed analyst time on a scale that made refreshing the picture impractical, so decisions were made against a view that was already ageing.
- What we built
- The design framework first — what constitutes a provider record and a merchant profile, which fields matter, which sources are permitted, and how a value is judged reliable. Then governed collection run against it, with provenance and confidence on every field, human review targeted where an error would change a decision, and merchant profiling delivered within the same engagement.
- Capabilities
- Framework designSource discoveryMerchant profilingProvenanceHuman-in-the-loopConfidence scoring
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.