Lemurian Labs

Tachyon is a compiler enabling AI models to run on any hardware with high speed and scale.

Two architects of modern computing join Lemurian Labs to help build AI infrastructure from the ground up

With three decades of expertise leading engineering strategy at Qualcomm, Oracle, and Sun Microsystems, Vick joins Lemurian Labs to build solutions aimed at democratizing access to AI

Lemurian Labs hires talent to advance AI performance, scale, and innovation.

Lemurian Labs develops hardware-agnostic infrastructure to accelerate AI performance, scalability, and accessibility.

Lemurian Labs provides information about its AI technology, partnerships, and opportunities.

The Lemurian Labs Privacy Policy explains how personal data is collected, used, and protected under GDPR and CCPA.

The Lemurian Labs Terms of Use outline rules for accessing and using their website, SaaS platform, and customer support.

Lemurian Labs secures a $28 million Series A to develop AI software enabling users to 'write once, run anywhere.' The round includes participation from investors like pebblebed Ventures, Hexagon Ventures Group, and seed lead Oval Park Capital. Co-founders Jay Dawani and Dr. Vassil Dimitrov lead the Santa Clara/Menlo Park-based startup.

Dec 2025thestartuptimes.substack.comNews article

Lemurian Labs secures **$28 million in Series A funding** to develop AI systems that reduce reliance on specialized hardware. The company focuses on software-based solutions to improve efficiency and accessibility in AI deployment. Investors back the approach to overcome traditional hardware limitations in scaling AI applications.

Dec 2025GlobeNewswireNews article

Lemurian secures a **US$9 million funding round** to advance its AI processor development. The investment is led by **Oval Park Capital**, with contributions from **Good Growth Capital**, **Raptor Group**, and **Alumni Ventures**. The startup aims to leverage the capital for hardware innovation in AI acceleration.

Nov 2023eeNews EuropeNews article

Lemurian Labs raises **$9 million** to develop an alternative AI computing framework that reduces reliance on proprietary, high-cost large language model ecosystems. The funding targets addressing inefficiencies in training and deployment, where current models lock users into subsidized services tied to specific platforms. Industry analysts highlight the hidden expenses of generative AI infrastructure as a key pain point.

Oct 2023Data PhoenixNews article