neuronez AI Product Studio

neuronez is a product studio where builders come together to design, test, and ship AI systems that matter for you.

We work closely with teams who need more than advice; they need something that runs reliably in production.

Turning your goals into real architectures, workflows, and deployed solutions.

Who we are

The team you don't usually meet

A small crew of builders with a decade-plus inside Microsoft, Google, Amazon, Meta, and Flipkart.

They're engineers with over a decade of work inside Microsoft, Google, Amazon, Meta, and Flipkart.

People who've shipped complex systems long before AI became fashionable.

They came together because building with AI demands experience, patience, and the instinct to solve real problems, not performative ones.

Deterministic in how they think, not probabilistic in how they work.

MicrosoftGoogleAmazonMeta

How we build

How do we work then?

We begin with brutal clarity on what you need to fix, improve, or reimagine.

01

Say no when AI isn’t needed

Not every workflow deserves AI, and we say that upfront.

02

Design the right intelligence

When it does, we decide how much intelligence is needed, where it fits, and which model, tool, or architecture makes sense for the long run.

03

Test in controlled loops

Everything is tested in controlled loops until the system behaves as expected in real conditions—shipping only when it is ready.

04

Keep your data yours

Your data and your privacy remain exactly that: yours.

Perspective

Do you really need AI?

Most businesses don’t feel the urgency because their systems still “work,” but that’s exactly where the risk begins.

From The Innovator's Dilemma

“Companies fail not from bad management, but from the habits of good management — the very habits that reject disruptive technologies.”

The simplest way to answer whether you need it is to look at your existing motion: if you have customers, operations, or repeated decisions, talk to us!

What we build

Systems that think with you.

Each project is handcrafted. We don’t just ship tools — we create systems that stay with your team.

AI Workflows

Streamline operations by automating repetitive decision-making so your teams focus on strategy, not process.

RAG Systems

Connect your company’s data to AI turning static information into context-aware knowledge engines.

Agentic Automation

Build self-running agents that act, decide, and learn from feedback; your silent operational team.

Image and Audio Recognition

Transform visual and voice data into structured insights from quality checks to user understanding.

MCP Servers

Design modular control planes that connect multiple AI tools, enabling distributed reasoning and workflow orchestration.

Research

Research papers from the studio.

Building leads to questions. Questions lead to experiments. Some turn into papers.

Metaverse in Education

How immersive spaces can augment learning outcomes, communities, and assessment frameworks.

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LLMS-API.txt: Rise of AI agents and the need for seamless API interaction

Patterns for exposing reliable, composable APIs to agents so they act with guardrails and context.

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Low-Budget LoRA: Strategic Adapter Placement and Rank for Efficient Model Tuning

Experiments on where adapters matter most and how to trade rank vs. performance on small budgets.

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AI meets Product

What happens when AI meets the real work?

When AI meets Marketing

Performance will be analysed. Our pipelines read every creative, every hour, across every campaign—highlighting what works, killing what doesn’t, and letting ideas evolve from evidence, not instinct.

When AI meets Product

Operations will be streamlined. You can track progress, payments, and process workflows fused into one automated pipeline. The result: higher retention and your team can finally move out of manual spreadsheet maintenance.

When AI meets Sales

Conversations will be tracked. Voice-integrated agents capture calls, pull out insights, and map performance patterns—turning raw chatter into something you can act on.

When AI meets Design

Experiments will be more creative and measured. With our internal design system, a 10-day launch cycle became a 2-day loop, letting the team test, iterate, and ship without bottlenecks.

Industries

Where we build best

Over the years, our work has kept pulling us toward industries where complexity is high, data is real, and decisions compound fast.

Supply chain
Manufacturing
Retail
E-commerce
EdTech
Fintech
Logistics
Customer support
Healthcare-adjacent operations

Closing

We don’t build with AI. We build with intent.

If we reach out to you, it’s because we believe your work deserves precision, not noise. If you reach out to us, we’ll start with a conversation and no forms, no funnels.