Every major roadworks scheme on a motorway involves a difficult trade-off. Close lanes at the wrong time and traffic backs up for miles, costing drivers time, businesses money and the economy productivity. Plan well, and disruption can be minimised. Alchera Technologies, a Cambridge-based startup led by co-founder and chief executive Anna Jordan, has built an artificial intelligence platform to help transport authorities get those decisions right, and it now has fresh capital to scale.
Alchera has raised a £2.7 million seed round, announced on October 13. Maven Capital Partners invested £2 million through the British Business Bank's £200 million South West Investment Fund, and Innovate UK's Investor Partnerships programme contributed £700,000. The Bayes Entrepreneurship Fund, The FSE Group and existing investor Cambridge Applied Research also took part.
Seeing traffic two years ahead
Alchera's platform pulls together a transport operator's own data with a wide range of third-party sources, including bus locations, traffic signal data, vehicle movements, weather and air quality. It cleans and combines that information and then applies machine learning, including a patent-pending traffic model, to forecast how networks will behave. Results are delivered through dashboards and application programming interfaces that planners can plug into their existing systems.
The company says its technology cuts analysis that once took weeks down to seconds. Its most prominent use case is on the M25, the orbital motorway around London and one of Europe's busiest roads, where Alchera predicts traffic up to two years ahead to help plan roadworks. Connect Plus Services, which manages the M25 on behalf of the national highways authority, won the Digital Initiative of the Year award at the 2024 British Construction Industry Awards for its work with Alchera.
The platform is also being used on public transport. In Lancashire, Alchera analyses more than 300 junctions and 85,000 network links to identify where buses are being delayed and to guide investment decisions on where improvements will deliver the greatest benefit.
A founder shaped by engineering
Jordan began her career as a software engineer and joined the company through Cambridge Applied Research, a venture builder that creates and supports early-stage technology businesses. Alchera was founded in Cambridge in 2016, and Jordan rose to become head of operations and a co-founder before taking the chief executive role.
She is outspoken about what she sees as a chronic problem in the sector: transport organisations, in her view, underinvest in data, even though data is a shared resource that could improve decisions across entire networks. Alchera's pitch is that better use of information that authorities already hold, combined with external data and modern machine learning, can lead to smarter infrastructure spending without the need for expensive new hardware on every road.
"Every journey – to work, to school, to an appointment – depends on decisions someone made about a road or a bus route," Jordan said.
Diversity is built into how the company operates. Women make up about one-third of Alchera's team, its leadership and its board, a meaningful figure in a deep technology and transport sector where women remain significantly underrepresented, especially in technical and leadership roles.
The investors' case
Rafi Khan, investment manager at Maven Capital Partners, said: "Transport and infrastructure operators are sitting on vast amounts of data." The firm's thesis is that turning that data into actionable forecasts can unlock significant value for the public and private bodies that build and run transport networks.




