Four hours a day, gone by the fifth week.
A mid-market UK retailer had two people opening competitor websites every morning and typing prices into a spreadsheet. It took four hours, covered a fraction of the range, and was wrong by lunchtime. Two previous vendors had tried to automate it. Both feeds died within months.
- Named on request
- Multi-brand retail, UK
- Sept 2025 · 11 months
- 5 weeks to pilot
Python
React
Next.js
Node.js
AWS
GCP
Azure
Docker
Kubernetes
PostgreSQL
MongoDB
Snowflake
Redis
StripeWhat changed, measured the same way both times
Four steps, and a person who owns each one
31 sites, every night
Rotating infrastructure that keeps working when a site changes its defences.
Rules before anyone sees it
Currency, matching, sudden jumps, missing ranges. Bad rows are quarantined, not published.
Into the tools they use
Their warehouse, their pricing screen, one email each morning for the buyers.
We get the alert, not you
Monitoring with a 15-minute recovery target on critical feeds. Fix first, report after.
Feed health, last forty days
"We'd written off web pricing data after two failed vendors. We consume this feed now — we don't babysit it."
Same shape, your sources.
Send us five sites you wish you could see every morning. We'll come back with a working sample of your data — not a proposal.
- Sample in 5 working days
- Fixed-price pilot after that
- You own the data and the code
More projects
Six systems, one screen
We joined them up and put one assistant on top.
tenX: explainable shortlists
Matching that shows its reasoning to the recruiter.
Growth OS
One platform replacing nine separate tools.
Tell us what your team does by hand. We'll tell you if we can automate it.
Free 30-minute call, no pitch deck. We'll tell you honestly whether it's worth automating, and roughly what it costs.
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