A trust problem in lead trading, solved with one transparent marketplace.
Leads United needed buyers and sellers to exchange lead data safely and transparently. We built the marketplace — AI-driven matching, a transaction engine, and validation baked in from the start.
From project timeline to delivered data.
Trading leads,
without the trust.
A lead marketplace only works if buyers and sellers trust the exchange — and that meant three things done right: a buyer’s section for posting requirements, a seller’s section with real profiles, and a transaction engine that handled data and funds securely.
None of it works without AI matching, validation and reporting running underneath it. Get the trust layer wrong and there’s no marketplace, just a spreadsheet with extra steps.
Four pillars behind the build.
We started with the people who’d actually use it — deep interviews with prospective buyers and sellers shaped every decision that followed.
User research first
Interviews with prospective buyers and sellers, competitor analysis, and journey mapping shaped the marketplace before a line of the product was designed.
An interactive prototype
A working software prototype let stakeholders react to the real flow — buying, selling, quoting — before build began.
A reusable design system
A design system built for consistency and scale, so new marketplace features slot in without a redesign each time.
Agile MVP sprints
The engineering team is running Agile sprints against the MVP, refining it toward a beta release.
From concept to a working marketplace.
MVP tested,
beta ahead.
The MVP prototype has been tested and refined, with a robust design system in place and the development team running active Agile sprints toward beta.
Early feedback from stakeholders has been very positive — the platform is positioned for its next stage, not stuck at concept.
A buyer’s section for posting lead requirements and budgets
A seller’s section with real profiles and lead examples
A transaction engine for secure data and fund transfers
AI-driven matching between buyers and sellers
Reporting and data validation built in from day one
A design system ready to scale toward beta
Discovery to active sprints.
Discovery & design
Q2 2024
Development cycles
Q3 2024
Positioned for beta
Ongoing
What Leads United is built with.
A deliberately unexciting stack — chosen because it holds up in production, not because it was new.
Microsoft Azure
Python
FastAPI
PostgreSQL
React.jsWorking with High Digital gave us the confidence that our desktop app would meet the same high standards as our web platform. Their security-first approach and attention to detail were essential to our success.
Other data products we've shipped.
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A single source of truth for prospect intelligence.
A centralised platform to manage the acquisition, cleansing, matching and enrichment of prospect data at scale — replacing fragmented sources and manual scoring with one unified system.
A stalled platform, rebuilt into an award-winning product.
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Validating B2B leads against live LinkedIn data, automatically.
A tool that validates whether a lead still works at a company, with real-time lookups against their LinkedIn profile.
An MVP data platform for demand-generation at scale.
Oneninefive are demand-generation specialists helping global B2B brands connect with buyers — we built the MVP data tools and campaign hub behind it.
Identifying anonymous web visitors for Argus.
Web ID is an additional tool for Argus, the award-winning management and lead generation platform.
Questions, 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.