Generally, the toughest determination a pacesetter could make is the one which units an organization up for the long term. Lindsay Chadwick simply so occurred to make hers quickly after changing into chief govt of Mind Foundry in late 2025.
The corporate, based by College of Oxford professors Stephen Roberts and Maike Osborne in 2016, had spent the higher a part of a decade taking their machine-learning analysis into insurance coverage, infrastructure and defence.
Amongst its longest-standing backers is college spinout investor Parkwalk, which invested at founding by the College of Oxford Innovation Fund II, returned by its Alternatives Fund in 2017 and 2019, and joined the corporate’s $13.6M Collection A in 2020.
When Chadwick took the helm, her job was to set the route of the enterprise, and that meant reducing three sectors down to at least one.
“We made a deliberate determination to pay attention the corporate on defence and nationwide safety,” Chadwick tells Tech Funding Information, including that the transfer got here all the way down to “the mix of mission, technical match and nationwide want.”
It was no straightforward name, she explains, but it surely was vital to place the corporate’s individuals, merchandise and cash behind the world the place it had “the strongest proper to win”.
As we speak, Thoughts Foundry’s software program helps individuals make sense of information from sonar, radar and different sensors, to allow them to spot threats earlier and resolve quicker, with a human nonetheless making the decision.
The timing has, up to now, labored in its favour. Whereas Thoughts Foundry was reshaping its focus, Britain’s defence policy was shifting in the identical route. And now, the cash is beginning to observe, with the federal government setting out £298bn of defence investment over the subsequent 4 years.
Traders are shifting too, with UK and European defence tech startups having raised $12.3B by late June, virtually double the earlier 12 months.
The toughest name to make
Chadwick began her profession as a lawyer, guiding fast-growing, venture-backed companies and college spinouts by their numerous life phases. She later labored with the founding staff of ARIA, the UK’s Superior Analysis and Invention Company.
That have, she factors out, gave her what she describes as “a detailed view of what it takes to show bold science into organisations that may ship real-world influence.”
Working the corporate herself, nevertheless, introduced what she considers to be the toughest name of her tenure up to now.
“Selecting to pay attention the enterprise meant accepting that we couldn’t pursue each alternative and making tough selections that affected gifted individuals who had contributed an important deal to the corporate,” she says.
The staff’s response, she provides, made the choice really feel proper. Greater than half of Thoughts Foundry’s workers invested their very own cash when the corporate was reshaped, together with former colleagues and associates who had already moved on.
“That help was a robust vote of confidence in our route and within the firm’s future,” Chadwick says. “Management typically means selecting readability over consolation”.
Listening beneath the waves
When each ship, submarine and surveillance system in fashionable defence depends on sensors, that readability has a really particular goal. Between them, Chadwick explains, the techniques that see and pay attention produce a flood of data that must be pieced collectively and understood quick.
That job can be hardest at sea. Underwater sound may be laborious to learn alone, and operators listening for threats may be swamped by the amount of it. It’s a pressure Chadwick describes as “a big cognitive burden.”
“Basically, Thoughts Foundry builds the layer between these sensors, the platforms and the individuals making selections,” she says.
Its flagship product, NIGHTINGALE, was examined alongside the Ministry of Defence, the Royal Navy and Thales to scale back the time operators must kind by potential contacts.
It makes use of machine studying to assist sonar operators separate significant sounds from background noise and work out which deserve consideration first. A sister product, SENTRY, combines feeds from a number of sensors right into a single image.
The identical method may additionally assist guard the cables and pipelines that run beneath British waters, at a time when concern over their safety is rising.
“The aim of our know-how is to not take away individuals from decision-making,” Chadwick factors out. “It’s to scale back cognitive load, floor what issues and assist individuals make quicker, better-informed selections whereas retaining human management.”
Constructing in Britain
Chadwick is agency on the place that know-how ought to come from. “Defence AI isn’t merely one other piece of software program,” she says.
Instruments like Thoughts Foundry’s deal with and draw on delicate data, she argues, and there’s a want for normal updating lengthy after they’re first switched on.
Holding that work in British arms, in her view, retains the nation accountable for its personal safety. “The UK should perceive and management the know-how on which vital selections rely,” she provides.
With defence spending on the rise, she sees the present second as a gap for corporations like hers, and an indication that the market Thoughts Foundry dedicated to years in the past is the fitting one.
The Defence Investment Plan features a new £200M AI funding fund, on high of the £1.6B UK Defence Innovation fund put aside by 2030 to seek out the subsequent main British defence firm.
“It creates a big alternative, however the essential query is how shortly ambition turns into deployed functionality,” she says.
This text is a part of our editorial partnership with Parkwalk, main UK buyers centered on college spinouts and deep tech innovation.
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