Led · Series A · Jul 2026

Founded in 2020 in Kristiansand, HIVE develops a silicon brain composed of neural networks trained to operate as human operators and retrofitted onto existing industrial machines rather than sold as new hardware. Its system has been deployed in tunnels, quarries and logistics sites and has delivered customer results at locations including Yara’s Herøya plant, a Norwegian Road Authority avalanche-clearance project, and through a prior partnership with Toyota Material Handling. HIVE says its software works across brands and machine types and becomes more effective the longer it operates. The company has 52 employees and is expanding from Europe into the U.S., using its recent $15M pre-Series A to hire more technical staff and support that expansion. HIVE is awaiting broader proof of physical-AI effectiveness, targeting measurable cost savings and efficiency gains in the second half of 2026. The founder, Christoffer Jørgenvåg, previously built and sold a control-systems company and this round represents his first institutional VC raise; total funding to date has not been disclosed.

Participated · Seed · Apr 2026

All3 develops an integrated construction system combining autonomous robotics (including a legged on-site assembly robot), AI-powered design software and robotic manufacturing tools for producing custom components. The company has processed over 100,000 square metres of residential projects through its design software and reports a growing pipeline of projects in Germany. All3 plans to deploy an initial fleet of robots on commercial construction projects in Germany as its first launch market. It operates across Europe with offices in Berlin and Zug and conducts R&D work in London and Belgrade. The recent $25 million seed raise is intended to fund further research and development and initial commercial deployments. Rodion Shishkov is the CEO and co-founder leading the company’s effort to scale automated building processes.

Participated · Seed · Jan 2026

SOLVE Chemistry is a London-based Imperial College spin-out that has built a self-driving laboratory combining proprietary ultra-high-throughput reaction screening hardware with machine-learning models that predict optimal production routes. The platform captures reaction data around 20× faster than conventional high-throughput experimentation, giving customers rapid insight into how to manufacture new chemicals. Its target users are pharmaceutical, agrochemical and specialty-chemical manufacturers that need to accelerate time-to-market while reducing development costs and environmental impact. The company already counts BASF and several multinational pharma companies among its early partners and has begun generating both revenue and grant income. Founded by Dr Linden Schrecker and Dr Jose Pablo Folch, the team has grown quickly since spinning out of Imperial in April 2024 and operates from Scale Space in London. Fresh funding will allow the startup to quadruple production capacity, grow headcount, and extend the platform’s capabilities for scale-up chemistry. No explicit revenue or user numbers were disclosed in the articles.

Participated · Seed · Jan 2026

Founded in 2022, London-based Biographica has built a crop- and trait-agnostic platform that combines large multi-modal genomic datasets, knowledge graphs, and foundation models to predict which genes causally drive desirable agronomic traits. By feeding rapid experimental results back into its models, the company claims it can identify proven gene targets 12× faster than traditional GWAS and QTL approaches while also uncovering novel targets missed by legacy methods. The technology can deliver partners either ranked target lists or experimentally validated traits ready for field trials, and has already been piloted with two of the world’s top five seed companies as well as Cibus and BASF’s vegetable-seed arm Nunhems. Commercial traction to date comes from these paid pilots and contracts rather than product sales, but early accuracy data generated inside customer pipelines served as technical validation for investors. Biographica plans to use new capital to expand its proprietary data collection, extend the platform to additional crops and traits, and deepen commercial relationships across the seed industry. Ultimately, the company positions itself as the AI layer that converts abundant genome data into actionable edits, aiming to accelerate yield improvements and climate resilience in global agriculture.

Participated · Seed · Nov 2025

Fit Collective is a London-based fashion technology startup founded by Savile Row-trained designer Phoebe Gormley. Its AI platform acts as a co-pilot for apparel brands by analysing historical returns, fabric behaviour and sales data before garments are produced, enabling designers to create better-fitting clothing. By tackling sizing issues upstream, the company targets an industry problem that drives an estimated $230 billion in annual losses from returns and lost sales. Early adopters include Rixo, Ro & Zo and Boden, which use the solution to reduce return rates, improve customer retention and lift margins. Nearly half of women’s-wear purchases are currently returned, and only one in three items bought are kept, underscoring the market need. Fit Collective positions itself as a scalable intelligence layer that can drive operational transformation across retail. The new capital will fund team expansion, accelerate product development and deepen integrations with additional global fashion brands.