AI startup Mach42 closes £7m pre-seed led by IP Group with BGF
This article covers Mach42, an AI startup, which has closed a £7m pre-seed funding round to accelerate agentic-ready simulation for analog semiconductor verification. The funding is intended to expand engineering and business development teams and to drive commercial adoption of its machine-learning circuit-simulation models, supporting engineering teams working on analog and mixed-signal devices by increasing verification coverage and shortening design cycles.
Mach42, an AI startup with teams in Santa Clara and Oxford, has closed a £7m pre-seed funding round to accelerate agentic-ready simulation for analog semiconductor verification — a step the company says will increase verification coverage by up to 100x and speed engineering cycles. The capital is earmarked to grow engineering and business development teams and push commercial adoption of Mach42’s machine-learning models for circuit simulation.
Why it matters
Analog circuit verification remains a bottleneck in semiconductor development. Unlike digital design, analog behaviour is nonlinear and computationally intensive to simulate with traditional SPICE tools, forcing trade-offs between accuracy, coverage and time. Greater verification coverage before tape-out can reduce costly respins and shorten time to market for power management and other mixed-signal devices.
Mach42’s funding and focus on agentic-ready simulation matters because it targets that pressure point: faster, physics-aware models that can be integrated into existing electronic design automation workflows. If the claimed 100x verification coverage holds up in customers’ flows, it could materially reduce compute costs and development time at a point when chip complexity is rising across the industry.
Inside the product
Mach42 says it uses advanced machine learning to build high-accuracy surrogate models of analog circuits. These models sit alongside conventional SPICE simulators rather than replacing them, allowing engineers to run larger sweeps and explore corner cases more efficiently. The company is initially concentrating on power management devices — a subsector where simulation improvements can deliver significant cost and performance benefits — while noting the wider analog market is commonly valued at roughly $100bn across many device classes.
The firm positions its technology as enabling “agentic” design flows, anticipating greater compute demand as automated, model-driven design practices proliferate. The announcement describes demonstrable modelling on very large power management devices and plans to expand access to the platform for engineering teams.
In the announcement, Tim Haynes, Chair of Mach42, said:
The EDA industry has very high expectations of tool performance, having relied on highly accurate simulation for decades. Mach42 makes new agentic approaches to analog chip design viable. Over the next two years we expect the EDA industry to see a surge in compute demand as agentic design flows take hold. Our tools work hand in hand with SPICE simulators, dramatically reducing design cycle times and improving IC design quality. We are successfully demonstrating our modelling capability on very large power management devices, and power management is our focus going forward.
In the announcement, Paul Neil, COO of Mach42, said:
Mach42 has demonstrated that we can model highly complex non-linear systems with remarkable accuracy and flexibility. This is not a simple problem to solve and requires multiple disciplines working together at the leading edge of machine learning research. We thank our investors and partners for their continued support at a pivotal stage of the company's development. It enables us to expand access to our platform and push forward our mission to make fast, physics-accurate circuit simulation a reality for engineering teams worldwide.
Who are the investors?
The round was led by IP Group plc, with continued participation from existing backers BGF and Foresight Group. The announcement also references early support from Parkwalk as part of the company’s financing history.
IP Group is a prominent UK deeptech investor that often backs university spinouts and science-led ventures. BGF is a UK growth investor focused on later-stage funding for private companies. Foresight Group is an investment manager with a range of private market funds. Their participation signals institutional interest in tools that accelerate semiconductor development and in AI-driven EDA solutions.
In the announcement, Dr Lee Thornton, Partner, Deeptech, IP Group plc, said:
More complex semiconductor designs are putting real pressure on engineering teams to shorten development cycles without compromising accuracy. Mach42 is addressing that challenge in analog circuit verification, an area where better tools can have a clear impact on productivity and speed to market. This is the epitome of the Group’s business model with IP Group following on with balance sheet capital from Parkwalk’s early support of the business. We’re delighted to lead this round as Mach42 accelerates commercial adoption.
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Founder perspective
Mach42’s leadership frames the raise as a waypoint toward commercial traction and wider deployment. The company emphasises a multi-disciplinary approach combining machine learning research and circuit physics to model highly nonlinear systems — a technically demanding problem that requires both domain expertise and compute resources. The funding is intended to scale teams that can turn those research advances into production-ready tools integrated with existing EDA workflows.
The bigger picture
The deal sits at the intersection of two trends: growing use of AI to accelerate engineering workflows, and renewed focus on toolchains that can keep pace with rising chip complexity. For UK and European tech ecosystems, the raise illustrates continued investor appetite for deeptech startups working on semiconductor supply-chain pain points, even as much of chip manufacturing and design remains concentrated in the US and East Asia.
As chip design teams push more compute into verification and automated design flows, startups that can offer compatible, physics-aware ML models may win early adoption. Mach42’s transatlantic base and backing from UK investors highlight how cross-border collaboration and capital are shaping a practical route for research-led startups to enter established industrial toolchains.
This funding round also underscores the role of UK deeptech investors in shepherding university-linked research into commercial products that could influence global EDA practices.
They've invested in Mach42
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