Teams that depend on data arriving correctly.
The work looks different across sectors, but the underlying need doesn't: structured records, on a known schedule, that someone else stays responsible for.
We'd rather say no early than disappoint you late.
- You need the same data again next week
- A schema your warehouse can rely on
- Sources that fight back
- One-off list, never repeated
- A tool you'd run yourself
- Data behind someone's login
What each kind of team is actually up against.
Pricing & e-commerce teams
Competitor prices, stock levels, and promotions across a defined set of retailers, matched to internal SKUs.
The pressure
Decisions get made every morning. Data that arrives late or partially is worse than no data, because someone prices against it anyway.
Daily pre-market delivery · SKU-keyed · Parquet or warehouse
AI & ML teams
Large text or structured corpora, deduplicated, filtered, and carrying provenance on every record.
The pressure
Dirty training data is expensive to discover late. Near-duplicates and template boilerplate degrade runs quietly.
Batch delivery · JSON Lines · provenance retained
Real estate & proptech
Listings from multiple portals, normalized to one schema with cross-portal duplicates resolved.
The pressure
Every portal models property differently. Reconciling them is the actual work, and it never ends.
Daily or hourly · address-keyed dedupe · unified schema
Recruitment & HR tech
Job postings, employer attributes, and hiring signals tracked over time rather than as a snapshot.
The pressure
Postings appear and vanish. Miss a window and the history has a hole you can't backfill.
High cadence · change tracking · historical retention
Market intelligence
Category coverage, brand presence, and assortment tracked consistently across a competitive set.
The pressure
Comparisons only hold if collection is consistent. A methodology change mid-quarter invalidates the trend.
Weekly or monthly · stable methodology · versioned schema
Finance & alternative data
Web-derived signals collected on a strict schedule with defensible provenance.
The pressure
Timing and auditability matter as much as accuracy. A number you can't trace back is a number you can't use.
Fixed windows · full provenance · audit trail
Whether this is worth a conversation.
We'd rather you self-select out now than discover the mismatch three weeks into scoping.
We're a good fit if
- You need the same dataset repeatedly, not a one-off export
- The data feeds something that matters: pricing, a product, a model
- Nobody on your team wants to own scraper maintenance
- You care about knowing when coverage drops, not just receiving files
- You'd rather agree a schema up front than clean data afterwards
We're probably not if
- You want a self-serve scraping tool to operate yourself
- You need data from behind a login that isn't yours
- You need it tomorrow with no scoping conversation
- The lowest possible price matters more than reliability
- You're collecting personal data without a lawful basis
The same validation, whatever the sector.
Sector changes the schema and the cadence. It doesn't change what runs before a batch is allowed to ship.
What working with us is actually like.
We'd rather show you how we operate than fill this space with quotes. Every point below is something you can hold us to from the first conversation.
You talk to the people building it
No account layer between you and the engineers. The person who scoped your schema is the person who fixes it when a source changes.
We tell you when something won't work
If a source is unreliable, a field isn't consistently available, or a request isn't something we'll take on, you hear it during scoping, not after an invoice.
Small on purpose
A four-person team means every project gets senior attention. We take on work we can do properly rather than filling a pipeline.
The maintenance is the commitment
Anyone can deliver a dataset once. We stay responsible for it: monitoring sources, catching drift, and repairing extraction before it reaches you.
Recognise your situation in any of this?
Tell us the sources and the fields. You'll get an honest read on feasibility and a sample from your own sources before committing to anything.
No retainer required to find out whether your sources are feasible.