Akshay Deo

Maxim - Evaluate and improve your AI products, 5x faster ⚡️

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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.

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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
Congrats on the launch! Maxim seems really promising. Can't wait to give it a try.
VG
Maker
thanks @min_zhou 🙌🏼 excited to hear your feedback!
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?
VG
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.
Daniel Zaitzow
Launching soon!
@akshay_deo Super smart idea and congrats on the launch! Good to see product releasing that aren't simply AI overlays of GPT with some niche specific prompts but still exist within that AI ecosystem.
VG
Maker
thanks @dzaitzow 🙌🏼
Vinayak Jhunjhunwala
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?
VG
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 👨‍💻
Yogini Bende
Congrats on the launch folks! Rooting for team Maxim 🙌🏼
VG
Maker
thanks @heyyogini 🙌🏼
Micha Cassola
Putting the Intelligence next to the Artificial! 😆 Nice!
VG
Maker
Vishwesh Jirgale
Congrats on the launch! 🎉 Maxim looks like an amazing platform. Excited to see how it helps teams build smarter AI apps. Best of luck!
VG
Maker
thanks @vishweshji 🙌🏼
kankana haldar
Can Maxim be integrated with other AI tools or platforms I’m already using?
VG
Maker
hi @kanika123, absolutely! we are platform-agnostic and work seamlessly with any other AI tools/models that you are using.
Ashish Agrawal
Congratulations on the launch @akshay_deo , @vgatmaxim & team!
VG
Maker
thanks @ashish_agrawal 🙌🏼
Akash Bhadange
Congratulations on the launch! 🚀 Wishing the team great success with Maxim!
VG
Maker
thanks @designerdada 🙌🏼
Roop Reddy
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
VG
Maker
thanks @roopreddy 🙌🏼
Saswat Mishra
Congratulations on the Launch!🔥 Looking forward to trying out the platform.
VG
Maker
thanks @saswat_mishra1 🙌🏼 looking forward to your feedback!
Ganesh Hubale
Congratulations on the Launch! We have been using the Maxim AI tool for evaluating bot responses at Threado AI, and it has proven to be excellent in terms of performance. Additionally, their support team has been highly responsive and efficient.
VG
Maker
thanks @ganesh_hubale2 🙌🏼 appreciate your continued trust and partnership!
Madalina B
Congratulations!!! great product! nice job with Maxim!
VG
Maker
thanks @madalina_barbu 🙌🏼
Ruben Restrepo
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!
VG
Maker
thanks @ruben_restrepo 🙌🏼 appreciate your trust and our partnership 🚀
Tu Tu
Congratulations~ Kind of a cool product, the unpredictability and quality of the model output can also be tested and monitored. I'll have to try it out. 😃
VG
Maker
thanks @tutu_growing3 🙌🏼
hritik choudhary
Maxim sounds like a powerful solution for AI teams! Streamlining the evaluation and monitoring process across the AI lifecycle is a huge win for faster development. How customizable are the testing and monitoring workflows for teams with unique AI architectures?
VG
Maker
thanks @hritik_choudhary 🙌🏼 the workflows are fully customizable
Stepan Solodnev
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?
VG
Maker
thanks @solodnev 🙌🏼 it's actually incredibly simple; you can get started in <5 mins. excited for you to give it a shot!
Jason Howie
This looks super relevant to my project!
Akshay Deo
that's awesome, @formulashq 🙌🏼 would love for you to try it out!