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Unify

Take Back Control of Your LLM ✨

LLMs run riot in production. Get back in the driving seat. Build your own evals, iterate quickly, and go from prototype to production in no time! Try Now! https://console.unify.ai/ ✨
Unify
Founded:2022
Team Size:10
Status:
Active
Location:London, United Kingdom
Group Partner:Jared Friedman
Active Founders

Daniel Lenton, Founder

PhD in ML for 3D Vision + Robotics, Imperial College London. Love to dive deep into engineering rabbit holes 🕳️🐇
Daniel Lenton
Daniel Lenton
Unify
Company Launches
Unify: Notion for AI Observability 📊
See original launch post ›

TL;DR simple, lightweight, and fully hackable observability + evals. Cut out the noise, and focus on the data + metrics that matter to you 🎯

⬇️ Clone our Open Source Framework

📊 Customize your Dashboard

👋Chat with us

🫠 Problem
Current LLM infra has too many layers of abstraction, with rigid schemas and several concepts to learn. This obfuscates way too much from users, making things seem much more complex than they really are, and paradoxically it also makes these tools rigid and inflexible.

LLMs are also only a part of a broader product, and so your observability and eval infra shouldn’t be exclusively obsessed with LLM abstractions. The product and your users are what really matter, and the needs can vary wildly from product-to-product. Your observability and eval tooling should reflect that!


🧘 Not Anymore

The core building block is simple, just “unify.log”. This lets you store any kind of data to your console for easy visualization, grouping, sorting, and plotting.

You can then hack together your own custom interface, for whatever you want using three basic tile types: Tables 🔢, Views 🔍 and Plots 📊

Use these three primitives to:

➕ create + visualize your datasets in a new tab
➕ monitor and probe production traffic in a new tab, with or without LLMs
➕ start an evaluation flywheel in a new tab, with or without LLMs
📉 optimize your product for your users, with or without LLMs
🧠 whatever else you can think of!

Check out our minimal demo, explaining how to use these building blocks to ship with speed and clarity ⚡
https://youtu.be/fl9SzsoCegw?si=GKDi4TLEUXNgfWy2

Getting Started 🛠️

Sign up, check out our repo, and you're ready to go!

from unify import Unify
unify = Unify("gpt-4o@openai")
msg = "hello"
response = unify.generate(msg)
unify.log(message=msg, response=response)
# visualize at https://console.unify.ai


🙏 Our Ask

Give Unify a try, and let us know what you think! Check out our walkthrough, and if you like it, then give our repo a star 😊 If you don’t think it’s useful, please tell us. We’d love to know!

Other Company Launches

Unify - The best LLM on every prompt ✨

Dynamically route each prompt to the best LLM, so you can balance quality, speed and cost with ease
Read Launch ›