Participated · Series A · Aug 2026

Mindgard operationalizes AI security research and offensive-security expertise through a Security Platform that performs Shadow AI discovery, AI red teaming, and run-time AI protection across models, agents, and applications. The company was spun out of over a decade of AI security research at Lancaster University and is headquartered in Boston and London. Mindgard's platform has been used to uncover and publicly disclose more than 150 high-impact security and safety vulnerabilities in widely used AI products, including a zero-day code execution vulnerability in Cursor IDE, a trusted workspace flaw in Google Antigravity, and image-generation guardrail failures in ChatGPT. Its customer base includes a large number of Fortune 2000 companies and AI innovators across financial services, pharmaceuticals, gaming, digital services, semiconductors, and healthcare. The company plans to scale product, engineering, sales, and marketing following its $30M Series A to meet significant enterprise demand.

Led · Equity · Jul 2026

Nuclear Turbines aims to reduce the cost of nuclear power by replacing traditional steam turbine systems with highly efficient high-temperature turbine technology typically used in jet engines and gas-fired power plants, combined with a novel nuclear reactor design. Its compact systems are intended to be deployable "behind the meter" at industrial sites, data centres and manufacturing facilities. The company says this approach can lower generation costs to around one-fifth of today’s nuclear plants and builds on advancements in small modular reactors to address cost and scale challenges. Founded in 2025 and spun out of BAE Systems in partnership with Empirical Ventures' venture studio, the startup is led by Jeremy Owston and Professor Tim Abram. Following a £15m funding round led by IQ Capital, the company plans to use the capital for design, constructing large-scale test rigs and hiring to expand the team. No revenue, user or valuation metrics were disclosed in the articles.

Participated · Series A · Jul 2026

QuantumDiamonds develops and plans to manufacture advanced measurement and test systems for the semiconductor industry using novel quantum sensors that enable high-resolution, three-dimensional inspection of modern chips. The company is building the first production site for these quantum-sensor-based systems in the EU, with an announced investment plan of €152 million. It secured a €76 million direct grant approved by the European Commission and expects additional public support from the German federal and Bavarian state governments. QuantumDiamonds has made operational commitments tied to the public support, including prioritizing orders during shortages, offering early access to parts of the facility to startups and academic labs, and sharing excess project-related profits with Germany. The project is positioned as contributing to European semiconductor supply security and to strengthening the EU value chain under the European Chips Act.

Led · Series A · Jun 2026

IMU Biosciences combines high-fidelity multi-omic analysis with proprietary machine learning to generate detailed immune profiles, claiming the world’s largest immune dataset. Its platform can analyze more than 100 million immune data points from a single blood sample and the company expects its dataset to scale to over 25,000 individuals by 2026. IMU is applying its platform across immune-mediated diseases and therapeutic areas, including transplantation and immuno-oncology, and is advancing clinical initiatives such as Stem Cell and Solid Organ Transplant programs and the MANIFEST cancer immunotherapy consortium. The company plans to use recent funding to expand operations and strengthen clinical infrastructure to support these programs. IMU was founded by experimental immunologists and computational biologists with roots at the Francis Crick Institute and King’s College London and has now raised a total of $60 million to date.

Participated · Series A · May 2026

RevEng.AI builds a binary-native verification layer and an AI model called BinNet that analyses software directly at the binary level to identify hidden vulnerabilities, backdoors, and suspicious functionality. The platform inspects compiled executables, firmware, and third-party applications without requiring access to source code. The company developed its model in collaboration with government cyber units and commercial security teams. RevEng.AI is positioning its technology for procurement and deployment checks, release comparisons, and integration into security and software delivery workflows. It reports early demand from enterprise and defence customers. Financially, the company recently raised $15 million in a Series A to support growth and deployment of its verification platform.