Subscribe
Sign in
Maxim — Evaluate and improve your AI products, 5x faster ⚡️
Maxim is an end-to-end AI evaluation and observability platform that helps you test and ship high-quality AI products, 5x faster ⚡️ Its developer stack comprises tools for the full AI lifecycle: experimentation, pre-release testing, and production monitoring.
96
Replies
Akshay Deo
Maker
📌
Hi PH! I am Akshay, cofounder of Maxim.
We’re building an end-to-end AI evaluation platform to enable modern AI teams ship high-quality products, much faster. We are committed to providing the best developer experience, so you can focus on what matters most—building great AI.
Over the past few years, as powerful large language models became accessible via APIs to ~30M developers, getting started with building AI applications has become significantly easier. From RAG-based QA chatbots to multi-agent architectures, we are seeing it all. However, one consistent problem that echoes across all AI development efforts is that of measuring and improving the quality of these complex AI systems.
Today, organizations are resorting to non-scalable techniques and high-paid manual efforts, resulting in tediously slow development cycles as they test and ship their AI to production. Many organizations only observe AI performance post-deployment and make reactive improvements. The foundational systems - to consistently evaluate whether they are improving or regressing as they adapt to a newly released state-of-the-art model or a simple change in their existing pipeline - are missing.
That’s why we’ve been hard at work building Maxim to make it incredibly simple to evaluate and improve your AI application quality, right from experimentation → pre-release testing → production. With Maxim you can, collaboratively:
✅ Iterate fast with LLMs and experiment with your prompts, data, tools, architectures
✅ Test your agentic AI systems easily with a simple API endpoint
✅ Monitor AI quality in production, and establish the critical feedback loop from production → iteration
✅ Curate high-quality datasets throughout the AI application development lifecycle
…and lots more
As we launch our self-serve offering, I invite you to try out Maxim and share your feedback with us so we can continue enhancing your experience as you push the boundaries of AI applications.
Check us out: https://www.getmaxim.ai/
Sign-up for the free trial (no credit card required): https://app.getmaxim.ai/sign-up
Book a demo with us: https://www.getmaxim.ai/demo
Happy building 🚀
Akshay
Share
Congrats on launch! Excited to see how it helps streamline testing and feedback loops.
Love the focus on speeding up AI product evaluation and observability! A 5x boost in efficiency is a game-changer for developers juggling tight timelines. The all-in-one lifecycle approach is super impressive! 👏 Well done, @akshay_deo
Congratulations on the launch. 😁Excited to try it out as we scale our our AI features at SuperJoin.
Can I also log and test my agents here?
Maker
thanks @vinayak_jhunjhunwala1 🙌🏼 yes, you can easily log and evaluate your complex multi-agent workflows on Maxim. can't wait for you to try it out 👨💻
We're current users of Maxim, I love the interface and how intuitive it is, it allows our product team to move faster with great flexibility, it's a fundamental part of our company AI strategy. Go Maxim team!
I think Maxim is really addresses a big pain point for AI developers with its focus on making evaluations faster and easier. Just curious: how does Maxim make sure that feedback from the production stage gets efficiently used in the development process?
Maker
thanks @victoria_wu 🙌🏼 excited to have you try Maxim! To channel feedback from your production logs to development process, we recommend identifying under-performing and well-performing real-world scenarios by: 1) running AI (and human) evaluations on production logs using metrics that you use pre-release, 2) leveraging implicit and explicit user feedback on user logs, and 3) fine-grained tracing and filtering on logs. You can then use this data to improve different nodes in your AI workflow or create better datasets for evaluation, in-context learning, or fine-tuning.
It's interesting to explore. An important question that influences how ready teams are to adopt it is: how long does it take for a team to onboard and start running tests effectively?
This will shorten the experimentation time, been comparing Gemini & ChatGPT manually but this opens up the possibility to so much more :)
Many congratulations on the launch @vgatmaxim ! I am sure Maxim is set to simplify and accelerate developer experience at scale.
Congrats on the launch! 🎉
Maxim looks like an amazing platform. Excited to see how it helps teams build smarter AI apps. Best of luck!