Data products for B2B
marketing teams and
agencies who need
one trustworthy view
of their prospects.
Whether it is one company or a portfolio of clients, B2B marketing data tends to arrive fragmented, duplicated and hard to score consistently. We build the platforms that unify it — prospect intelligence, account scoring, and campaign reporting that marketing and RevOps teams actually use every day.
The problems that bring
marketing teams to us.
If any of these sound familiar, the data underneath your marketing operation is probably the real constraint — not your team, and not your budget.
Fragmented data across clients and sources
Prospect and campaign data arrives from internal systems, bought lists, enrichment providers and, for agencies, a whole portfolio of clients — and none of it agrees with the rest.
No reliable way to rank accounts
Without consistent scoring, reps and account managers chase whichever account shouts loudest instead of the one most likely to close.
Reporting stitched together by hand
Campaign performance lives across half a dozen tools and a lot of manual exports, so the numbers reaching leadership or clients are already a week stale.
Compliance risk baked into the mess
Fragmented, ungoverned prospect data is also a GDPR problem — nobody can say with confidence what is held on whom, or why.
Built to be trusted,
not just installed.
Most B2B marketing data failures are not technical failures — they are the result of building a platform around what is convenient to integrate rather than what your team actually needs to trust. Here is how we approach it differently.
Built for the sector, not just one client.
We have worked across this sector since 2017 — for in-house marketing and RevOps teams, and for agencies managing data across a whole client portfolio. Each build is different, but the discipline is the same: unify the data first, then build what sits on top of it.
That is the bar we hold ourselves to — not a demo that impresses in a sales meeting, but a pipeline your team still trusts once the novelty has worn off.
Evidence in the work, not the pitch
Every claim on this page is grounded in real, shipped platforms for real B2B marketing clients — not a hypothetical case study.
One team, start to scale
The same senior engineers who design the data model build and support it in production, so nothing is lost in translation between strategy and code.
Scoring reps actually trust
Account and lead scoring built on real signal, not just activity volume, so the accounts at the top of the list are genuinely worth the call.
Weeks to a working pipeline
A first working data product typically ships in 8–14 weeks, not a year-long transformation programme.
“Most marketing data problems aren't really data problems — they're trust problems. The moment a rep stops believing the score, they go back to gut feel. Our job is to build the pipeline so well that nobody ever needs to double-check it in a spreadsheet.”
Not sure your prospect data can support this? Ask the engineer who’d untangle it.
Book a 30-minute working session with a senior data engineer — a real conversation about your data, not a sales call.
Other sectors we know well.
Eight years of building means we've learned the dialect of a few specific domains — B2B marketing chief among them. We don't pretend to know the rest as deeply.
The stack behind the platforms we build.
Pragmatic, mostly boring, and chosen because it works in production for marketing data — not because it's on the front page of Hacker News.
Their commitment to data security and attention to detail were noteworthy.Read more client stories
Data engineering, AI and BI —
built for B2B marketing teams.
Data engineering
We design and build the data infrastructure that powers intelligent decision-making — from ingestion to insight.
Learn moreData products
Standalone data products your team can actually use.
Learn more 02Data solutions
Bespoke solutions to your most complex data challenges.
Learn more 03BI & analytics
Dashboards and reporting tools that turn raw data into clear decisions.
Learn more 04Machine learning & MLOps
Predictive models and ML pipelines designed for production.
Learn more 05Data consultancy
Strategic advice on how to structure, govern, and get more value from your data.
Learn moreQuestions, answered straight.
Have an outcome in mind?
We'll help you
ship it.
- You're building a data product and need a team that can deliver.
- You want to get AI-ready — pragmatically, not theoretically.
- Your reporting is a mess and you need a real platform underneath it.