Manchester-based EHE Ventures has invested more than 拢1.1 million into seven early-stage AI startups across sectors including health, finance, agriculture, publishing and consumer tech.
The deals were made through the EHE Ventures (S)EIS AI Growth Fund, which plans to invest up to 拢15m in UK startups over the next three years.聽
The fund combines capital with operational and technical support through the company鈥檚 in-house Venture Studio.
The portfolio now includes SUBJCT, a MarTech startup using AI-powered content tagging to boost engagement and SEO, and Scooch, a direct-to-consumer pet health platform combining AI, embedded insurance and personalised care.聽
AgriTech company Fotenix applies digital twins and spectral imaging to detect crop disease weeks earlier than conventional methods, while Spotlight Pathology is using computer vision to speed up blood cancer diagnosis.
Also backed are Good With, a female-founded FinTech platform improving credit decision-making for underserved borrowers; Peppercorn AI, which deploys LLM-powered virtual assistants to streamline insurance onboarding, claims and customer service; and NeuWave Technologies, an ocean intelligence startup tackling costly offshore project delays caused by inaccurate wave forecasts.
鈥淎I is transforming how we work, diagnose, farm, borrow and consume, and we鈥檙e not here for the hype,鈥� said Neil Vose (pictured), CEO of EHE Venture Studio.
鈥淲e鈥檙e here to back practical, scalable applications of AI that actually make life better.
鈥淲hat makes us different is that we don鈥檛 just invest. Our venture studio model means we鈥檙e in the trenches with founders, helping shape product, build tech, and get to market faster. It鈥檚 high-conviction, hands-on investing.
鈥淲e believe the North of England can lead the way in responsible, applied AI 鈥� and these seven companies are just the beginning.鈥�
Andy Grove, chairman of EHE Group, added: 鈥淔rom day one, we promised to back founders building practical, transformative AI.聽
鈥淲ith over 拢1.1m already deployed into seven high-potential startups, we鈥檙e making good on that promise.聽
鈥淭his early momentum shows that our model works and that our fund isn鈥檛 just active, it鈥檚 effective.鈥�
The fund targets pre-seed to Series A companies that are either AI-first or AI-enabled, with a focus on healthcare, financial inclusion, digital infrastructure and climate resilience, with the business expected to deploy up to 拢5m by the end of 2025.
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