TitanML Attracts $2.8M for its Efficient Deployment Solutions for Large Language Models
TitanML's deployment solutions have demonstrated a staggering up to 90% drop in compute costs
Company Name: TitanML
Location: London, UK
Product: A platform designed to enable machine learning teams to effectively deploy large language models (LLMs).
Funding Details: $2.8M in pre-seed funding
Funding led by: Octopus Ventures
Participating in Funding: Deep tech-focused angel investors
Purpose of Funding: TitanML has set sights on channeling these funds to further expand its operations and boost its developmental ventures.
Leadership: TitanML's foundation rests on the joint efforts of Dr. James Dborin, Dr. Fergus Finn, and Meryem Arik.
About Company: Positioned at the forefront of AI innovation, TitanML is pioneering the space by offering machine learning teams the tools they need to deploy large language models (LLMs) with unprecedented efficiency. The team is primed to launch Titan Takeoff, their flagship solution aimed at making the deployment of large language models faster, more affordable, and more straightforward for these teams.
A testament to the groundbreaking nature of their solutions is their capability to deploy the state-of-the-art Falcon LLM in real-time on standard CPUs. TitanML's partnerships paint a robust picture; they have forged alliances with tech giants such as Intel and AWS.
TitanML has successfully won over a slew of enterprise clients. Their deployment solutions have demonstrated a staggering up to 90% drop in compute costs coupled with 20x improvements in latency, all within mere hours of deployment.
