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UpTrain AI

UpTrain AI

Full-stack LLMOps platform for all your production needs

UpTrain provides the most advanced LLMOps platform to ship AI confidently. It provides enterprise-grade tooling to easily evaluate, experiment, monitor, and test LLM changes, all while seamlessly collaborating with your team. Being OSS, UpTrain is readily customizable and can be hosted on your secure cloud environment, satisfying your data governance needs. 1. UpTrain provides high-quality scores over a variety of metrics (both LLM-based and classical NLP ones) as well as allows you to define custom ones to evaluate your full LLM pipeline comprehensively. 2. UpTrain runs root cause analysis to identify if it is a retrieval issue, if your context requires reranking, if the LLM is unable to utilize the context or if certain instructions are not being followed. 3. UpTrain leverages state-of-the-art techniques for automatic prompt optimization, automatic eval generation, finding common topics among failure cases, etc., to act as your LLMOps co-pilot.

UpTrain AI
Founded:2022
Team Size:6
Location:San Francisco
Group Partner:Dalton Caldwell

Active Founders

Sourabh Agrawal

Sourabh has been building and deploying machine-learning models for the last 8 years. Previously he co-founded Insane.ai (an AI-powered fitness app) - a seed-funded startup where he built state-of-the-art computer vision models, scaled the product to 150k+ users, and grew the team to 20+ members. Before starting up, Sourabh worked as an AI consultant at Bosch (autonomous driving) & a quant associate at Goldman Sachs. He graduated from IIT Bombay, where he studied Electrical Engineering.

Sourabh Agrawal
Sourabh Agrawal
UpTrain AI

Shikha Mohanty

Shikha was a venture builder and SaaS investor in the past. She has worked with several deeptech companies in her previous work experience and has contributed to their growth journeys by providing support on their GTM startegy

Shikha Mohanty
Shikha Mohanty
UpTrain AI

Company Launches

TLDR: Hi, everyone. We are Shikha & Sourabh, and we help companies ship LLM applications confidently. We provide enterprise-grade tools to evaluate, experiment, monitor, and test LLM changes easily. We provide seamless collaboration, and being OSS, we provide tons of customization and self-hosting capabilities to satisfy your data governance needs.

PROBLEM 🤔:

“Building LLM prototypes is easy, but productionising them is damn hard.” (You might have guessed it given we are building an LLMOps platform 😉). So, LLMs are unpredictable and dealing with them is complex and messy:

  1. You spend countless hours manually reading through your chatbot responses or analyzing the actions of your automation agents.
  2. Fixing the prompt to solve one failure case opens a can of worms and can make previous answers go bad.
  3. Improvements are always reactive - users complain, and then you go back and fix them, eroding their trust and your credibility.
  4. Collaborating with your team is messy - countless Google Docs and Slack channels are created to debug failure cases.

SOLUTION 💡:

UpTrain provides the most advanced LLMOps platform to streamline the complete process. It goes beyond just giving scores or monitoring logs but provides a single platform to identify, debug, and collaborate to improve the accuracy of your LLM applications.

  • We give reliable scores over various metrics (both LLM-based and classical NLP ones) as well as allow you to define custom ones to evaluate your full LLM pipeline comprehensively.

  • We run root cause analysis to identify if it is a retrieval issue, if your context requires reranking, if the LLM is unable to utilize the context, or if certain instructions are not being followed.

  • State-of-the-art techniques for automated prompt optimization, automatic eval generation, finding common topics among failure cases, etc., to act as your LLMOps co-pilot.

Best of all, UpTrain is open-source under Apache 2.0 with more than 1700 GitHub stars and adoption among developers across multiple Fortune 500 companies. Being OSS, UpTrain has tons of customization options and can be deployed in your secure cloud environment, fulfilling your data governance requirements.

OUR ASK 🙌:

  1. If you are building LLM applications, we would love to get feedback on our platform.
  2. If you are doing evaluations with home-grown solutions, let us know what they are. We would be happy to add them to our OSS.
  3. Join our Slack community to stay updated on our progress.

If you want a demo or want to chat more, please book a call here.

Other Company Launches

UpTrain - Open-source tool to observe your ML models ⚙️ 🔧

Open-source Datadog for machine learning models
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