Participated · Series A · Aug 2026

Boyin Hechuang develops industrial robots that embed embodied AI to continuously interpret environments and derive action sequences for assembly and manipulation tasks. The company introduced the BW10-Lite in December 2025, an 8-kg single-arm robot designed for 24/7 operation and claimed to cover over 60% of certain manual assembly tasks. It is preparing series production in 2026 and plans to release a successor model, BW10, to broaden deployment use cases. Boyin Hechuang is building a specialized data platform to enable robust data collection, labeling and monitoring necessary for industrial learning loops. The startup has formed strategic partnerships with Bosch China and others, and reports letters of intent for customer orders totaling several hundred million U.S. dollars as it seeks commercial validation and repeatable production metrics.

Participated · Series C · Jul 2026

Whale builds an AI Operating System (AIOS) for enterprise operations based on its proprietary Business World Model (BWM), which interprets camera, sensor, and audio signals similar to how LLMs process text. Its product suite includes SpaceSight (physical space intelligence), Echo (voice and audio intelligence), Lume (content distribution), Alivia (workflow automation and intelligent agents), Harbor (knowledge management and compliance), and Novus (AI infrastructure and governance). Whale serves more than 1,600 enterprises in 45+ countries and manages over 600,000 edge AI nodes globally across industries including retail, automotive, F&B, manufacturing, and financial services. Headquartered in Singapore, the company is scaling deployments across North America and APAC with plans for MENA and Europe. Whale recently raised a Series C round that now totals $100 million, which it says will fund global expansion, team growth, deeper partnerships, and expanded platform integrations.

Participated · Series C · May 2026

Quantum Motion develops full-stack quantum computers built on silicon chip technology, claiming potential reductions of roughly 100-fold in cost and space requirements and 1,000-fold in energy consumption compared with some rivals. The company was founded in 2017 by Professor John Morton and Professor Simon Benjamin and is led by CEO James Palles-Dimmock. Headquartered in London, Quantum Motion also operates offices and labs in Spain, Australia and the US. Financially, the startup has raised over $200M to date, including a recent $160M Series C. The new funding is earmarked for commercialisation, continued research and development, and geographic expansion as the company scales its platform.

Participated · Series B · Mar 2026

Qdrant builds a high-performance, composable vector search engine that lets engineers combine dense and sparse vectors, metadata filters, multi-vector representations, and custom scoring functions at query time. Written entirely in Rust, the platform gives teams granular control over indexing, scoring, filtering, ranking, and latency-versus-precision trade-offs, making it suitable for retrieval-augmented generation, semantic search, and agentic reasoning. The engine deploys flexibly across cloud, hybrid, on-premises, and edge environments and is already used in production by enterprises such as Tripadvisor, HubSpot, OpenTable, Bazaarvoice, and Bosch. Its open-source project has surpassed 250 million downloads and accumulated 29,000 GitHub stars, highlighting strong developer adoption. Qdrant has been recognized in The Forrester Wave: Vector Databases (Q3 2024), GigaOm’s Radar for Vector Databases v3 (2025), and Sifted’s 2025 B2B SaaS Rising 100. The company’s recent Series B financing strengthens its ability to scale these offerings and cement composable vector search as core AI infrastructure.

Participated · Series A · Mar 2026

Founded in 2024 by serial networking entrepreneur Drew Perkins and chip designer Omar Hassen, Eridu is redesigning data-center networking from the silicon up to meet the bandwidth demands of modern AI workloads. The company is building a switch that integrates far more networking functionality directly onto the chip, reducing optical links, lowering latency, and cutting power and cost compared with traditional multi-tiered architectures. Its eventual product line will replace conventional gear from vendors like Arista Networks in AI data centers, positioning Eridu at the heart of the ongoing build-out of GPU clusters that now span millions of processors. Perkins argues that while GPU compute and memory bandwidth are improving roughly 10× per year, incumbent switch technology advances only 2–3× every few years, creating a performance gap Eridu aims to close. The startup has assembled roughly 100 employees and leverages the founders’ deep experience, including Perkins’ past exits such as Lightera, Infinera, and Gainspeed. Although the company has not disclosed revenue metrics or valuation, it has raised substantial capital to fund product development and scale.