Participated · Seed · Aug 2026

Twin1 develops digital twins tailored for lawyers and has just come out of stealth. The company is led by CEO Lewis Z. Liu, previously CEO of Eigen, and co-founded with former Eigen colleagues Tom Cahn and Huiting Liu. Twin1 announced a $20 million Seed round co-led by Bessemer Venture Partners to fund its initial scaling after launch. The articles note the broader context of multiple legal AI companies moving into related areas such as context development, personalization, and knowledge sharing. No operating metrics, valuation, location, or detailed product roadmap were disclosed in the pieces.

Participated · Equity · Aug 2026

Etched.ai develops rack-scale inference systems and broader frontier inference infrastructure. Since founding, the company has grown to more than 400 employees, hiring over 200 people after its Series B late last year. It has secured more than $1 billion in customer orders and established deep manufacturing and supply-chain partnerships, including opening a factory in Taiwan. Etched is currently validating its first rack-scale inference product with customers. The company’s near-term plans emphasize production, manufacturing scale-up, and deployment of its inference systems, supported by cumulative funding of $800 million.

Participated · Series A · Aug 2026

Palona AI’s core product is a multimodal "capture, understand, act, learn" operating layer powered by a proprietary Interaction Model for Physical AI that combines vision AI and object detection to interpret spatial, temporal and semantic context in physical locations. It offers product suites including Revenue Expansion, Revenue Intelligence and Operations Intelligence, each with specialized autonomous agents such as ordering and catering agents and integrations into point-of-sale systems. The Operations Intelligence tool links to security cameras to monitor food safety, cleanliness and real-time incidents and sends alerts to managers. Palona has been deployed at the Cali BBQ restaurant chain, where it reported increasing Father’s Day revenue by more than 20% year-over-year and becoming the restaurant’s most valuable sales channel by capturing missed orders and catering opportunities. The company launched out of stealth in January 2025 after a $10M seed and subsequently raised a $20M Series A. Palona is initially focusing on restaurants as a proof-of-concept with plans to extend to other frontline physical businesses.

Led · Seed · Aug 2026

Daso builds a kid-focused computer (ages 6–12) that integrates an AI tutor with creation tools for drawing, coding, music, film, and writing. The company positions the tutor to guide children without doing the work for them, aiming to replace passive scrolling with active learning and to protect attention and critical thinking. The founder's background in teaching and education is cited as motivating the product and company mission. Daso is about to deliver its first units to Founding Families for a free four-week program, indicating an initial consumer rollout. Financially, the company recently raised $750K in a pre-seed round led by Neo. The article does not provide revenue, user metrics, location, or founding year.

Participated · Seed · May 2026

Altara offers an AI layer and platform that brings fragmented technical information—such as sensor logs, temperature and moisture data, and historical failure reports—into a single system to accelerate failure diagnosis in physical-science workflows. The company says its AI can condense weeks or months of manual data triaging into minutes. Altara was founded in 2025 by Eva Tuecke, formerly a particle physics researcher at Fermilab and SpaceX, and Catherine Yeo, a former AI engineer at Warp; the founders met while studying computer science at Harvard. Altara positions itself as an intelligence layer that plugs into existing data systems rather than replacing long-established research and manufacturing firms. The startup competes conceptually with other AI-for-science companies such as Periodic Labs and Radical AI, though it pursues a less capital-intensive integration approach. Public reporting does not disclose revenue, user metrics, or detailed financials.