Unify Secures $8 Million to Optimize LLM Deployment

Unify today announced it has raised £6.3 million ($8 million) in a funding round to tackle the fragmentation in the AI software stack. Founded by a PhD graduate from Imperial College, Unify is set to make LLM deployment faster, cheaper, and simpler.

“The world is missing out on a lot of AI’s potential because it’s too slow, complex, and expensive to deploy.
Unify is going to change that!”

says Daniel Lenton, the founder and CEO of Unify

Unify provides a single interface to test and deploy all LLMs across all providers via a standard API, single-sign-on, and customizable dynamic routing. Unlike other black-box routers, Unify’s runtime and quality benchmarks are public and updated several times per day. The router can also be trained end-to-end on custom LLMs and agentic systems, ensuring optimal performance based on user-specific tasks and success criteria.
For example, LLM engineers using Unify can dynamically route to the fastest provider, improving customer satisfaction by reducing wait times. Additionally, Unify can balance LLM response quality with cost, making high-quality outputs more affordable.

“Unify makes it easy to balance cost, quality and speed by optimizing the LLM selection.”
“It enables developers to spend more time on critical application logic.”

says Jerry Liu, CEO at LlamaIndex

Unify has raised $8 million on SAFEs from investors including YC, Essence VC, A Capital, SignalFire, J12, M12 (Microsoft), Race Capital, and Samsung Next. The funding will be used to expand the engineering team and continue developing the model router, the core technology of Unify.

“Transparent LLM benchmarks are very much needed, and Unify’s live dashboards are a useful resource for everyone”

Clem Delangue, CEO at HuggingFace

Unify aims to expand beyond dynamic routing, with tools to automatically find optimal intermediate prompts and in-context examples, all driven by the end task performance. They also plan to include many more specialized fine-tuned models in the platform, meaning there is a model for every task supported behind the router interface.

“Routing across the entire LLM landscape could result in much higher quality than any one model”

says James Bentley, AI and Strategy Director at Awin

Currently, Unify has 7 employees and expects to grow to 10 by the end of the year. Since its launch, 4,000 engineers from companies like Tesla, Twitter, Meta, and DeepMind have signed up.

“Trying to keep up with all new LLMs and providers is impossible,” “Unify makes it easy to cut through the noise and ensure the best LLM is always being used.”

says Fredrik Hjelm, CEO at Voi

For more information on Unify’s latest developments and future plans, please visit unify.ai