Led · Series C · Jul 2026

Founded in 2019 in San Sebastián, Multiverse Computing builds AI solutions inspired by quantum computing techniques—notably tensor-network approaches—to compress large language models and produce energy-efficient AI. The company says its technology can reduce model size and energy use by up to 95%, deliver 4x–12x faster inference, and cut costs by 50%–80%, enabling deployment on constrained devices like smartphones, laptops and satellites. Multiverse has launched a new generation of optimized models, including an open-source model and a family of compressed models designed for resource-limited environments. It has formed strategic partnerships with firms such as Cohere, Axelera AI, Plain Concepts, Inetum, EY and PwC to accelerate adoption in finance, energy, logistics, space, health and defense. Financially, Multiverse closed a €189M Series B in June 2025 (led by Bullhound Capital and including SETT and other investors) and is currently finalizing a larger round that could total €500M, backed in part by a €107M SETT commitment.

Participated · Series B · Jul 2026

Sereact builds AI software models that give robots general-purpose visual perception and manipulation abilities, and it ships those models to run on a wide range of robot hardware. The company launched Cortex 2, an AI model that trains robots on different physical behaviors so they can select the action most likely to succeed. Sereact says it does not build robots or sell services, positioning its shipped model as the product that runs on single-arm, dual-arm, humanoid and fixed-cell robots. Its technology is deployed with customers including BMW, Daimler Truck, Bol and Active Ants, and real-world deployments generate a data flywheel that improves system performance. The company was founded in 2021, is based in Stuttgart, employs about 100 people, and is using new funding to further develop Cortex 2 and expand into the U.S., including a Boston office.

Led · Series C · Jun 2026

Oxford Quantum Circuits, founded as a spinout from Oxford University in 2017 and based in Reading, develops superconducting quantum computing hardware and supporting software. The company deploys its machines in data centres and offers access to customers and researchers as a cloud service. OQC targets business and government customers, citing demand from financial services, defence and security companies for secure quantum technology. It positions itself to move from long-term promise toward near-term commercial delivery and plans to scale internationally and advance its technology roadmap. The company recently strengthened its financial position by raising a £260 million Series C to accelerate commercialization and market expansion. No revenue or user metrics were disclosed in the provided article.

Participated · Series G · Mar 2026

Whoop builds wearable fitness and health trackers paired with a subscription service that captures user biometric and performance data. The company ships millions of hardware units globally while operating a recurring-revenue subscription model, which management says makes bookings the most useful operating metric. Whoop exited last year at a $1.1 billion bookings run rate, representing 103% year-over-year growth. It has now raised roughly $900 million in total capital since founding. The company is investing raised capital in hiring and talent, marketing and brand awareness, continued R&D, and accelerating international expansion. Whoop is also pursuing deeper health and medical capabilities, underscored by strategic participation from Abbott and Mayo Clinic in the latest round.

Led · Series C · Nov 2025

Founded in 2019, Santa Clara-based d-Matrix develops a full-stack inference platform that integrates Corsair™ in-memory inference accelerators, JetStream™ networking NICs, and the Aviator™ software stack. The architecture delivers up to 10× faster performance, 3× lower cost, and 3–5× better energy efficiency than contemporary GPU systems, enabling customers to serve models as large as 100 B parameters in a single rack and to generate roughly 30 K tokens per second on Llama-70B at 2 ms latency per token. By allowing one data center to handle the workload of ten, the platform directly tackles the rising energy and TCO challenges of AI deployment. d-Matrix is currently scaling global deployments for hyperscale, enterprise, and sovereign customers and has announced an open standards reference architecture, SquadRack™, with partners Arista, Broadcom, and Supermicro. A forthcoming roadmap includes 3-D memory stacking innovations aimed at further boosting throughput and energy efficiency. The company employs more than 250 people across offices in the U.S., Canada, Australia, India, and Serbia and has raised a cumulative $450 million in venture funding to date.