Connecting Scientific Research & Industry
Bridgelight
- The Essentials
- UX
- UI
- Data Visualisation
- Search & Discovery
- Information Architecture
- Design System
- Frontend
Bridgelight built The Big Connector, a semantic search platform that mapped, matched and visualised capability across research and industrial networks. I was the designer on a five person founding team.
The flagship use case was rail. Bridgelight became a key delivery partner to the UK rail industry supply chain, answering a question nobody could answer by hand: who does what, across thousands of suppliers. The same engine was then pointed at five further sector networks, covering advanced manufacturing, energy systems, renewables, industrial engineering and food manufacturing.
It sold to universities, to the Catapult centres set up to translate British research into industry, and to government. That gave the platform two very different users who had to meet inside one interface.
Key takeaways
- Two audiences, one product. Scientific and academic users wanted depth: the taxonomy, the confidence score behind a match, the ability to interrogate why two organisations had been connected at all. Commercial users wanted a shortlist and a name to call. Neither would tolerate being handed the other's product, and the business could not afford to build both.
- The cost of the old answer. Mapping a business network by hand ran to £200k and five months, and the picture went stale the moment it was delivered.
- Nine bespoke builds, one product. Every client had been sold a variation of the platform, built to request. The work was to find the single product hiding inside them, so that a new client meant new data rather than a new build.
- The best feature was the one nobody found. Multi term semantic search was the platform's real advantage over a keyword tool, but users defaulted to single keywords and got the weakest results the product could give. Surfacing that capability, rather than hiding it behind an empty search box, became a central design problem.
- Shipped and earning. The platform reached v2.1, revenue generating, with repeat customers across industry, academia and government.
Customers put it better than a case study can: "a tool that makes us think about our work differently; not only beautiful, but very useful".
One journey, both audiences
Three screens, following a single rail manufacturer from a problem on the track to a supplier who can fix it. The academic user reads the same journey downward, into the evidence; the commercial user reads it forward, to the name and the number.