NAIQ builds the architecture where human judgment and machine inference work as one accountable decision system. Industrial AI — our beachhead — is available today as analyst-led assessments and pilots in Raipur & Chhattisgarh, applicable to manufacturing, healthcare operations, logistics and energy. More purpose-built systems are on our research roadmap, all pointing toward Collaborative Intelligence — the infrastructure of trustworthy, human-aligned decisions.
Where NAIQ stands today — honestly. NAIQ is an early-stage company based in Raipur. What you can engage today is analyst-led work: a qualified analyst (PhD in AI, NIT Raipur) personally examines your operational data — production logs, maintenance sheets, downtime records — and returns recommendations, forecasts and ROI estimates you can check against your own numbers. The self-serve software platform is still in development. Our deeper research tracks — quantum methods, cognitive science, mathematics — are research, not products. We currently serve Raipur & Chhattisgarh, and we visit plants in person.
In the age of abundant AI, the bottleneck is no longer intelligence — it is the architecture where human judgment and machine inference work as one accountable decision system. Models are everywhere. Data is everywhere. What remains rare, and what determines whether a business actually performs, an individual genuinely evolves, or a decision truly holds, is the disciplined architecture of the two: human judgment guided by machine inference, machine inference grounded in human context, and a feedback loop that makes both better every day.
NAIQ was founded to build that architecture — one disciplined beachhead at a time.
We build the architecture — intelligence layers, feedback loops, accountable decision systems — that turns abundant AI into outcomes that actually matter. Deployable, auditable, and grounded in the realities of every domain we serve.
Not a single general AI above everything — but purpose-built intelligence systems, deeply integrated with human judgment, accountable and interconnected, all pointing toward a deeper horizon: intelligence that genuinely understands context, holds ethical coherence, and amplifies human potential without replacing human judgment. That is Collaborative Intelligence — and every system NAIQ builds today is a step toward it.
These are the areas an Industrial AI engagement can address. Today, we deliver them as founder-led analysis of your operational data; as the software platform matures, more of this becomes continuous and automated. We scope only what your data can actually support.
Industrial AI is NAIQ's live beachhead — the proof that domain-specific collaborative intelligence delivers where general-purpose models fall short. Every deployment is a step toward the longer horizon: Collaborative Intelligence. Not a single general AI above everything, but interconnected, accountable intelligence that understands context, holds ethical coherence, and amplifies human judgment without replacing it.
Most AI companies sell intelligence. NAIQ builds the architecture where intelligence and human judgment work as one accountable system. Industrial AI is our beachhead — available today as analyst-led work, with a longer-term vision of domain-specific AI that genuinely understands context and makes human effort more accountable and more effective.
General-purpose AI performs at median. Domain-specific collaborative intelligence — trained on the signals, constraints, and failure modes of a single industry — performs at the frontier. That is the architectural bet NAIQ has made, starting with Industrial AI.
Every system we build is grounded in active research, daily knowledge base updates, and a perfectly orchestrated suite of automated AI tools that work in sync — from data ingestion to inference to deployment. We don't ship on hype — we ship on evidence and engineering rigour.
The most transformative AI applications are emerging in markets like India — where scale, linguistic diversity, and resource constraints demand genuinely intelligent, not just expensive, solutions. NAIQ is designed for this reality.
Explainability, bias monitoring, data governance, and human-oversight architecture are built into every NAIQ system from day one — not bolted on as an afterthought. We believe powerful AI without accountability is just a faster way to make bigger mistakes.

Resham Raj Shivwanshi holds a PhD from NIT Raipur, specialising in artificial intelligence, deep learning, computer vision, and medical image analysis. During his doctoral research, he received the IEEE Best Paper Award at an international conference held in Poland in 2023. In 2024, he worked as Principal Project Associate at IIT Bhilai. In 2025, he contributed to frontier AI development through reinforcement learning from human feedback (RLHF) on large language models at Turing. He has also served as Assistant Professor at the School of Technology, Woxsen University, Hyderabad, during 2025–26. Presently, at NAIQ, he leads the daily knowledge base updates and the company's AI tool orchestration framework.
He founded NAIQ on a conviction he returns to often: in the LLM era, intelligence and data are no longer scarce — they are abundant and shared by everyone. The real work, and the work that determines whether AI actually moves the world, is building the architecture where human judgment and machine inference work as one efficient, optimal, and accountable decision system. NAIQ is built to engineer that architecture — domain by domain, deployment by deployment.
Whether you are a researcher, industry partner, investor, or institution — NAIQ is looking for collaborators who believe that intelligence, applied with purpose, can genuinely change what is possible.