Launched this week
NuPlay
AI transformation, run on one self-improving platform
155 followers
AI transformation, run on one self-improving platform
155 followers
NuPlay runs AI agents for enterprises in production that improve after every run. Deploy agents for retail, customer service, consumer goods etc., across voice, chat, and email, connected to your existing systems. NuPlay is built as one platform, has 5 layers which build, run and improve the agents: NuPro, NuStack, NuContext, Nupulse and NuLoop.
Can I deploy chat agent on my shopify website to help my users to shop better, basically give recommendations and if they drop-off or purchase, can a voice ai agent reach out to upsell/take feedback,etc.?
@anshuman_tripathi4
Yes, this is exactly the kind of retail journey we built NuPlay for!
Here’s how it would work:
Agentic shopping: NuPlay’s agentic shopping assistant helps visitors find the right products, answers their questions and recommends items based on what they’re browsing.
Customer support: If a shopper drops off, a voice agent follows up to help them complete the purchase. If they buy, it reaches out to upsell, cross-sell or ask for feedback.
Customer acquisition: NuPlay’s marketing agents turn what shoppers browse, buy and say into targeted campaigns. They build audience segments from live customer behaviour, create on-brand messages for each one.
Happy to set up a quick demo for your store: nuplay.ai 🙌
Would this tool tell us what content to be created for a set of questions that people generally ask in GPTs?
@vijayanandkailash
Great question, and yes, that’s part of NuPlay's capabilities.
NuPlay’s AI Visibility Audit runs your brand through answer engines like ChatGPT and shows you where your brand shows up when buyers ask AI, who’s being recommended instead of you and which fixes will make the biggest difference first. It covers technical SEO, GEO readiness, AEO visibility and a displacement score, so you know which gaps to close.
From there, our Content & Channel Agent can help produce the content itself, on-brand and adapted across channels.
You can try a free visibility scan here: https://www.nuplay.ai/retail/marketing-and-growth
Would love to hear what you find 🙌
@anushtha_singh
Nurix is now NuPlay — I have evaluated and deployed Nurix when I was in Medibuddy. Now, the focus is build horizontal agents.
Would love connect and learn more about new offerings.
Looks great. How is this different from other AI agent platforms?
@joy014
Hey Joy,
Most platforms help you build and deploy an agent, and then the agent stays the same until someone manually updates it. NuPlay is built for what happens after go-live. Every run feeds back into the agent through NuLoop, our self-improvement layer, so it keeps getting better instead of slowly drifting out of date.
self-improving seems really interesting! can you tell me if it can work with our existing systems?
@ani_13
Yes! NuPlay is built to work with the existing systems you already run.
Agents connect to your CRM, ERP and ticketing tools, and work across voice, chat, email and messaging. You don’t need to move your CRM or email platform to get started. NuPlay sits on top as an agentic layer and works with what’s already there.
Happy to tell you how it would connect, or set up a quick demo: https://www.nuplay.ai/?utm_source=producthunt&utm_medium=referral&utm_campaign=ph_launch_oct2026
Currently working at Nuplay, where our agent handles customer care support for real life customers WISMO, refund, tracking, returns, exchange, all of it - seamlessly by fetching the exact details of the customer, with all the context already built in so they don't have to specify anything! So exciting to see the context layer, the self improving layer and watching its magic play into real, production impact!
I work on Nuloop at Nuplay, a system designed to continuously improve AI agents in production. While most agents require ongoing manual support to fix failures, refine prompts, and test changes, Nuloop automates this improvement cycle. It detects agent failures, automatically optimizes prompts, validates the changes, and publishes improvements with minimal human intervention. This enables agents to continuously improve, resolve issues, and adapt proactively—even before users notice something is wrong.