London-based AI startup TitanML has secured $2.8 million in pre-seed funding as well as launched its solution Titan Takeoff, an AI-powered tool to facilitate the successful deployment of large language models (LLMs).
Established in 2021, the company took off as a result of a postdoctoral research project led by founders Finn and Dborin at University College London. VC firm Octopus Ventures led the funding round, with several angel investors in the deep tech sector also participating.
The founding team includes Dr. James Dborin, Meryem Arik, and Dr. Fergus Finn, all of whom are addressing challenges related to AI adoption in businesses. The team has also developed enterprise-grade software that aims to streamline LLM deployment, making it quicker, more cost-effective and simpler for machine learning teams.
Simplifying LLM deployment
“Machine learning teams are facing a whole host of problems in model deployment – from GPU shortages to concerns over privacy when deploying through third parties like OpenAI. We’re transforming what was once the most challenging part of the development cycle into the easiest and most efficient, and it’s here where our flagship product, Takeoff, comes into its own,” says Arik.
The startup has already forged partnerships with tech behemoths like Intel and AWS. It also boasts a remarkable 90 per cent reduction in computing costs and astounding 20x latency enhancements, often witnessed within mere hours of implementation in the enterprises that have embraced this technology.
“TitanML makes it possible for businesses to significantly reduce the processing requirements of high specification models quickly, cheaply, and with minimal trade-offs, unlocking the true potential of these technologies,” says Mat Munro, Investor, Deep Tech Team, Octopus Ventures.
Isa Muhammad is a writer and video game journalist covering many aspects of entertainment media including the film industry. He's steadily writing his way to the sharp end of journalism and enjoys staying informed. If he's not reading, playing video games or catching up on his favourite TV series, then he's probably writing about them.
