Launching today
NuPlay
AI transformation, run on one self-improving platform
64 followers
AI transformation, run on one self-improving platform
64 followers
Most AI agents stay the same after go-live, while the business keeps changing around them. NuPlay runs enterprise workflows in production and improves them after every run. Deploy agents for retail, customer service, consumer goods etc., across voice, chat, email and messaging, connected to your systems. Two built-in layers keep them improving: NuPulse tracks every run in real time, and NuLoop reviews those runs, diagnoses failures, tests a fix against past runs and ships the improvements.
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Promoted
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.
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.
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!
My favourite part of this job has been learning to explain one idea simply: most AI agents are at their best on the day they ship, and NuPlay is built so they get better after that. Every run feeds back into the agent, so it keeps up as policies, products and customer questions change.
About NuPlay AI: It runs enterprise-grade AI agents in production and improves them after every run.
Most AI projects follow the same arc: a promising pilot, a launch, then slow decay. The agent was trained on how the business looked on launch day, and everything after that becomes manual patching. NuPlay closes that gap. Each run is a signal: what worked, what didn’t, what’s changed. That learning goes straight back into the agent, so it gets sharper the more it works.
It’s all on one platform. The agents, the systems they operate in, and the context they draw on live in the same place, so improvements don’t get lost between tools. Deploy an agent, and it runs, learns and improves without a rebuild every time something changes.
Key features:
Agents that improve after every run, powered by NuLoop, our self-improvement layer
Agents, systems and context unified in one platform
Production-ready agents for retail, consumer services, consumer goods and more
Adapts to new policies, products and customer questions without manual rework
Try it at nuplay.ai
Would love your honest take: where have AI agents broken down for you after launch? We’re here all day to answer questions 🙌
I’m on the NuPlay team, working on AI transformation projects with enterprises. Most of our work starts in the same place: a process that still runs on spreadsheets, email threads and people copying data between systems. We don’t bolt a chatbot on top. We rethink the process from scratch, work out what can be fully automated and where AI fits, and keep humans on the decisions that need judgment.
The goal is a 10x jump in productivity for the people doing the work, not a 10% saving. NuPlay is what makes that stick: the agents run inside the actual systems (CRM, ERP, ticketing) and get better after every run, so the gains don’t fade once the project ends.
Curious: which manual process in your company do you think is most overdue for this?