Eastlink Capital

Modal Labs provides high-performance AI infrastructure designed to facilitate the development and deployment of applications for data, AI, and machine learning. Their platform allows developers to run inference, training, and batch processing with instant autoscaling and a seamless developer experience.

MotherDuck is a serverless data warehouse built on DuckDB, designed to provide analytics solutions for data teams, software engineers, and data scientists, enabling them to query data easily using SQL or natural language.

StreamNative provides a fully managed Apache Pulsar service that enables organizations to build and manage data streaming applications with reduced costs and improved scalability.

Vellum is a no-code AI agent builder that allows users to create, debug, and deploy AI agents for various operational tasks across industries such as healthcare, retail, supply chain, and insurance.

Omnistrate is a platform for building, deploying, and scaling SaaS products. It offers global deployments, SaaS billing, and AI-native infrastructure.

Genmo is a research lab dedicated to unlocking the right brain of artificial general intelligence through state-of-the-art video generation models. Their models act as world simulators, enabling infinite explorations in synthetic realities.

Exostellar is a platform for managing AI infrastructure across multiple clusters and tenants, offering self-managed, heterogeneous AI solutions.

IOMETE is a state-of-the-art, fast, scalable, user-friendly Data Lakehouse Platform for AI and Analytics. It offers flexibility and can be deployed anywhere – on-premises, in the cloud, or in a hybrid environment.

BenchFlow provides a platform for benchmarking and evaluating machine learning models, facilitating the comparison and improvement of algorithms through a structured approach.

Cloudanix provides a unified cloud-native security platform (CNAPP) that focuses on identity access management, data security, and workload protection for cloud environments.

Secure3 is a Web3 Security Audit platform headquartered in Silicon Valley, leveraging a decentralized approach to protect smart contracts, blockchain protocols, dApps, cross-chain bridges, codebases, and the wider Web3 ecosystem against bugs and technical threats.

An engineer-first solo GP investing in infrastructure startups at repo/demo or GitHub-alpha stage, uniquely comfortable backing founders before products exist. Timothy Chen brings deep technical expertise to early-stage infra founders.

Amplify Partners backs deeply technical enterprise founders in infrastructure, data, AI/ML, developer tools, and security. They take very small initial checks and provide repeated follow-on support, operating like a technical think tank that publishes deep, operator-style essays on AI, data, and developer tooling that founders treat as reference material.

Global venture capital firm that built dual Silicon Valley–China practices with partners in Shanghai and Beijing who help founders localize products and go-to-market across borders. The US arm split and no longer invests in China. Invests in Seed, Series A, Series B+ rounds with check sizes of $5M - $50M. Focus areas include fintech, devtools, cybersecurity, marketplaces, consumer, SaaS, enterprise, AI, ecommerce, future of work, data, proptech, transportation, media, and health.

Solo-GP venture fund led by Robin Vasan, who has generated over $1.5B in distributions on ~$224M of invested capital and focuses specifically on cloud infrastructure and intelligent applications for technical founders with fewer than 10 employees. The fund writes $2-3M checks to lead early rounds while maintaining close founder relationships, and frequently co-invests alongside top-tier firms like Andreessen Horowitz and Accel on developer tools and infrastructure companies.

Operates a Sage model where CEOs and serial founders embed as hands-on operators, sometimes interim leaders, hatch and prototype startups internally, and bring hundreds of millions in follow-on capital. The firm also hatches new companies internally by having partners identify opportunities, do research and prototyping, then match concepts with founders—functioning partially like a startup studio while running a traditional venture fund.