Participated · Seed · Jul 2026

Walden Robotics develops and deploys general-purpose robots powered by Large Behavior Models and other Physical AI advances to perform useful work in manufacturing, logistics, and other industries. Founded in 2026 and launched out of Toyota Research Institute, the company combines foundational robotics research with in-house operations teams to bring robots into production environments. Walden reports that its robots have been operating in production at a Toyota plant in North America since February, progressing from pilot to real work in under two months. The company has strategic partnerships across automotive, aerospace, semiconductors, electronics, logistics, and life sciences and emphasizes human-centered deployment where robots work side-by-side with people. Walden’s stated plans center on scaling commercial deployments and continuous on-the-job learning to improve capabilities over time. Financially, the company announced a $300 million seed round at a $1.1 billion valuation led by Toyota and Deviation Capital, providing capital to support its launch and customer expansion.

Led · Seed · May 2026

Itera develops real-time hardware prototyping capabilities using fluid circuit technology that employs liquid metal substrates enabling rapid modification and full circuit visibility. It operates under an Electronics-as-a-Service model where customers send designs that are assembled with the customer’s actual components at U.S.-based testing centers. The company says modifications to its fluid substrates can be made in under 60 seconds. Itera’s initial production capacity has been reserved by global automotive OEMs and defense neoprimes. The company is led by CEO AJ Cooper and recently closed a $12M Seed round.

Participated · Series A · May 2026

Dandelion Health develops a multimodal clinical AI platform intended to inform drug development and redesign clinical trial design using high-fidelity longitudinal clinical data. The company positions its platform to better characterize pre-disease windows and patient trajectories so trials are built against current clinical realities rather than outdated disease definitions. Leadership mentioned in the announcement includes Elliott Green and Niyum Gandhi, and the company has attracted investors with healthcare and scientific expertise. Financially, the company completed a $14 million Series A led by new investors Healthier Capital and Colle Capital alongside returning investors Primary Venture Partners, Moxxie Ventures, and Convergent Ventures. Dandelion says the new capital will be applied to continue developing its clinical-AI capabilities and expanding its platform's use in life sciences and AI development. The article does not disclose revenue, user, or other operating metrics.

Participated · Seed · May 2025

Neuron Factory builds an AI-native preconstruction platform that leverages a proprietary knowledge graph to model relationships among documents, teams, and decisions across the preconstruction lifecycle. Its platform is used daily to streamline ground-truth understanding, at-scale risk analysis, interpretation, and discrepancy analysis of drawings across disciplines, and to generate scopes of work and identify conflicts. The product integrates with existing tools and processes without requiring a complete digital overhaul or extensive data preparation. Neuron Factory says its technology has been deployed in production with several of the world’s largest construction and building-technology companies. The company plans to use the recent strategic investment to accelerate delivery of the world’s first construction-focused knowledge graph and expand its AI-native capabilities. Founded in 2025, Neuron Factory is headquartered in Redwood City, Calif., and maintains offices in London.

Participated · Series A · Jul 2024

Ema builds an agentic AI system—branded as a "universal employee"—that uses collections of AI agents called Ema’s Personas to perform complex, multi-step tasks autonomously. Its platform adapts to enterprise-specific data and workflows and can leverage multiple LLMs based on accuracy, cost, and performance needs. Ema emphasizes operating within company infrastructure to maintain data privacy and security while providing explainable and verifiable outputs. The product is designed to address common LLM shortcomings such as inaccurate outputs, data security risks, and a lack of domain-specific insight. Customers and partners include Moneyview, TrueLayer, and Envoy Global, and Ema was selected for Microsoft’s invite-only Pegasus Program. The company has raised $61M to date and says it will use the new funds to continue iterating its technology and expand investments in R&D and go-to-market. Ema offers an enterprise AI assistant sold as a platform with two products — Generative Workflow Engine (GWE) and EmaFusion — designed to emulate human responses and improve with usage and feedback. The company aggregates more than 30 large language models alongside its own smaller, domain-specific models in a patent-pending architecture to address accuracy, hallucination, and data protection concerns. Ema targets use cases across customer service (including technical support and tracking) and internal employee productivity, positioning itself as a cross‑use‑case solution rather than a single vertical tool. The startup emerged from stealth with paying customers it signed while private, including Envoy Global, TrueLayer and Moneyview. Leadership includes CEO and co-founder Surojit Chatterjee and co-founder/head of engineering Souvik Sen, both with extensive product and ML experience and numerous patents. The company says its goal is to free employees from routine work so they can focus on higher-value strategic tasks as it expands product applicability.