Participated · Seed · May 2026

Config records humans performing physical tasks in controlled studio environments and in the field, then converts that data to better suit robotic motion and interaction. The company operates data production out of Seoul and Hanoi with a workforce of nearly 300 and has accumulated over 100,000 hours of human motion data. Config’s approach emphasizes transforming data before training so models work more effectively for robots rather than retraining models on mismatched data. The startup counts large manufacturers, system integrators, and customers in agriculture and defense as current customers and is already generating revenue. Founded in January 2025 by CEO Minjoon Seo and three co-founders with backgrounds at Meta, Waymo, Google and Naver, Config plans to scale to one million hours of data, grow enterprise ARR to $10 million by end of 2027, and launch a cloud-based Robot-as-a-Service offering.

Participated · Equity · Mar 2026

Video Rebirth develops an industrial-grade AI video generation engine and the Bach series, emphasizing controllability, coherence and commercial readiness. The company highlights proprietary techniques including Dual DiT for prompt adherence, Physics Native Attention (PNA) for consistency, and a native 30fps capability. Founding leadership includes Dr. Wei Liu (ex-Tencent Distinguished Scientist), with Dan Kong as co-founder and COO and Difu Li as co-founder and CSO. Video Rebirth aims to replace physical filming and traditional rendering workflows by enabling persistent, high-fidelity video 'realities' for pan-entertainment and simulation use cases. The startup has secured strategic partnerships and investor support from AMD Ventures, Hyundai, Feedback Ventures and entertainment groups like HIVEN/CJ Group. Following its $80 million fundraise, the company is focused on commercializing Bach and expanding globally.

Participated · Series B · Dec 2025

VisIC Technologies Ltd. is an Israel-based pioneer designing Gallium Nitride (GaN) power semiconductor devices for electric mobility. Its proprietary D³GaN platform delivers high efficiency, scalability and reliability for 400 V and 800 V EV drivetrains, offering smaller, lighter and more efficient inverters than silicon and at lower cost than SiC alternatives. The company’s current roadmap centers on releasing Gen3 750 V GaN dice and power modules and advancing a Gen4 1,350 V technology to cover the full spectrum of EV designs. Beyond automotive, VisIC also sees demand for its GaN technology in emerging 800 V data-center power systems. Newly secured capital will be directed toward product qualification, supply-chain stabilization and production ramp-up. The recent $26 million Round B financing underscores the market’s confidence in VisIC’s ability to redefine power electronics for next-generation electric vehicles.

Participated · Series D · Dec 2024

Tenstorrent is a Toronto-based AI hardware startup that develops AI processors and training servers. The company plans to use its new funding to build out its engineering team and to build artificial-intelligence training servers to demonstrate its technology. CEO Jim Keller, a famed microprocessor engineer, said Tenstorrent plans to release a new AI processor every two years. The company has signed customer contracts totaling nearly $150 million. Tenstorrent was founded in 2016 and is one of several startups aiming to chip away at Nvidia’s dominant AI chip market share. Other startups mentioned alongside Tenstorrent include Axelera, Etched and Groq. The company recently closed a large financing that values it at more than $2.6 billion. Tenstorrent is a Toronto, Canada–based computing company that designs and sells AI processors and licenses AI and RISC‑V IP to customers who want to own and customize their silicon. Led by CEO Jim Keller, the company brings together experts in computer architecture, ASIC design, advanced systems, and neural network compilers. It operates U.S. offices in Austin and Silicon Valley and has global offices in Belgrade, Tokyo, and Bangalore. Tenstorrent closed a $100M strategic financing up‑round. The company intends to use the funds to accelerate product development, design and development of AI chiplets, and advance its ML software roadmap. Tenstorrent is a hardware startup developing next-generation computers and AI-focused processors. Its flagship Grayskull processor was slated to go to market in the second half of 2021. The company is also launching DevCloud to let developers run models without purchasing hardware. Larger systems using Tenstorrent’s technology will be available through partners. The company said it will use the new funding to continue creating AI-focused hardware for developers. Tenstorrent is headquartered in Toronto and maintains U.S. offices in Austin and Silicon Valley. Leadership includes CEO Ljubisa Bajic and CTO Jim Keller. Tenstorrent develops Grayskull, an all-in-one AI compute system designed to accelerate model training and inference using a novel architecture that eliminates unnecessary computation. Grayskull implements conditional execution and packs 120 proprietary Tensix cores stitched with a custom torus interconnect, 120MB of local SRAM and up to 16GB external LPDDR4 across PCIe Gen4. The Tensix core combines a packet processor, a programmable SIMD processor, a dense math block, and five RISC cores to drive high utilization. In preliminary tests the system reportedly hit 368 TOPs at a 75W PCIe-card TDP and processed 23,345 sentences/sec on BERT-Base (SQuAD 1.1), a claimed 26x advantage versus competing solutions. Tenstorrent is sampling Grayskull with partners and expected the system to be production-ready in fall 2020, and plans to target datacenters, public and private cloud servers, on-premises and edge servers, and automotive markets. The company is headquartered in Toronto with offices in Austin and Silicon Valley and has raised over $34 million to date.

Led · Equity · Jun 2024

42dot is Hyundai Motor Group's global software center focused on building a standardized software-defined vehicle platform for the group's vehicles. The center aims to complete development of the platform by 2025 and begin rolling it out across the vehicle lineup in 2026. 42dot has announced a partnership with Samsung Electronics to utilize Exynos Auto processors in platform development and contributed customization for Kia Assistant, which uses ChatGPT. Since Hyundai‑Kia's takeover in 2022, the group has injected substantial capital into 42dot, with cumulative investments of roughly 1 trillion won. The company plans to use new funds primarily for aggressive talent acquisition; over 100 job openings are currently listed and the firm says it has no set limits on hiring. Recent and planned funding is structured in phased capital infusions through 2025 to support development and hiring. 42dot develops an urban mobility operating system (UMOS) and two core solutions: AKit, a lidar-free autonomous driving software and hardware stack that uses cameras and imaging sensor radar, and TAP!, an autonomous mobility/logistics platform offering ride-hailing, fleet management, demand-responsive transport, and smart logistics. The company was founded in 2019 and is headquartered in Seoul. 42dot says AKit and TAP! are expected to commercialize in 2023 and its primary clients will be autonomous carmakers and mobility platform operators. It has about 200 employees as of October and plans to use proceeds to advance its AI-based technology, establish joint ventures, hire staff, and pursue growth through investment and M&A. The company has raised $130.1 million to date and its valuation is estimated at $425 million according to a source; a spokesperson declined to comment on valuation. Chang-Hyeon Song is CEO and co-founder and also heads the TaaS team at Hyundai Motor.