AI Consultant in Ahmedabad, India

    Work directly with the CTO who built SmartON — not an agency bench. Deep Parmar helps companies in Ahmedabad, Gujarat, and worldwide take AI from strategy to production: LLM systems that hold up under real traffic, computer vision on the edge, and browser-native AI.

    The engineer, not the bench

    Most AI consulting in India works like this: a salesperson scopes your project, an account manager relays it, and the actual work lands on whichever engineers are free that month. The person you evaluated is not the person who builds your system.

    This is the opposite. When you hire Deep, the person who audits your architecture, writes the plan, and reviews the code is the same person who has been shipping AI products since 2019 — as CTO & co-founder of Sunbots Innovations and founder of Xwits Developers. No hand-offs, no telephone game, no juniors learning on your budget.

    What I consult on

    Production LLM systems

    RAG pipelines, agent architectures, evaluation, and reliability — the unglamorous engineering that separates a demo from a product. Start with RAG vs fine-tuning to see how I think about these trade-offs.

    Computer vision on the edge

    Object detection, OCR, and scene understanding running on constrained hardware — the same stack behind SmartON's assistive smart glasses, used daily by 17,000+ blind and visually-impaired people.

    Browser-native AI

    Client-side RAG and WebGPU inference that run entirely in the browser — no server, no per-request API bill. I built and maintain dhiya-npm, an open-source library for exactly this.

    AI cost optimization

    Model routing, caching, prompt and context engineering that cut LLM bills without cutting quality. My guide to cutting LLM API costs in production covers the playbook I apply in audits.

    DPDP-Act-aware AI architecture

    India's Digital Personal Data Protection Act changes where your data can go and which AI architectures are defensible. I design systems with this constraint from day one — here is what the DPDP Act means for AI in Indian businesses.

    Proof: shipped products, not slideware

    Advice is cheap; shipping is the credential. SmartON — AI smart glasses and app for blind and visually-impaired users — reads printed text aloud, identifies currency, describes scenes, and answers by voice in 50+ languages, with the MIRA multilingual assistant routing every request across object detection, OCR, document search, and scene understanding. 17,000+ people use it. At Xwits, XwFin handles GST invoicing and tax intelligence for 2,000+ Indian businesses with ₹50Cr+ invoiced, alongside skibdrip (a personal AI stylist) and Sunbots Marketing (a brand-aware AI marketing autopilot). The full list is on the projects page.

    Based in Ahmedabad, working everywhere

    I have built my companies from Ahmedabad, and I know the Gujarat ecosystem first-hand — the manufacturers, traders, and SMEs that run this economy, and what AI adoption actually looks like for small businesses in India. For companies in Ahmedabad and across Gujarat, in-person working sessions are on the table. For everyone else — Bengaluru, Mumbai, Delhi, or overseas — engagements run fully remote, and most do.

    How an engagement starts

    Every engagement begins with a short, fixed-scope audit — typically one to two weeks. I review your architecture, code, data flows, and AI spend, then deliver a written assessment: what is working, what will break at scale, and a prioritized plan with effort estimates. You can execute that plan with your own team, with me, or with anyone else — the audit stands on its own. This keeps the incentives honest: I am not scoping work to sell you work.

    From there, engagements take the shape the problem needs — a one-off architecture review, hands-on build support, or an ongoing advisory retainer of the kind described in what an AI CTO actually does.

    Who this is for

    Founders who need a technical co-pilot before committing serious money to AI. Funded startups whose LLM prototype works in the demo but not in production. SMEs in Gujarat and across India that want AI applied to real operations — invoicing, support, inspection — without hiring a full ML team first (though if you are hiring, read how to hire an AI engineer). It is not a fit if you want a large delivery team on-site for months — that is agency territory, and I will say so in the first call.

    Frequently asked questions

    Who is the best AI consultant in Ahmedabad?

    That depends entirely on your problem — 'best' is not a useful label, and anyone claiming it should worry you. What you can evaluate is track record. Deep Parmar has been building AI products since 2019, holds a B.E. in Computer Engineering from Gujarat Technological University, and is CTO & co-founder of Sunbots Innovations, where he built SmartON — AI smart glasses used by 17,000+ blind and visually-impaired users. He also runs Xwits Developers, whose XwFin product handles GST invoicing for 2,000+ Indian businesses. If your problem needs someone who has actually shipped production AI, that record is verifiable.

    What does AI consulting cost in India?

    Market rates vary widely. In India, senior AI consultants typically charge ₹5,000–15,000 per hour for advisory work, project engagements commonly run ₹2–20 lakh depending on scope, and fractional CTO retainers typically run ₹1.5–4 lakh per month. Deep scopes every engagement after a short paid audit, so you get a fixed price against a concrete plan rather than an open-ended hourly meter.

    Do you work remotely, or only with companies in Ahmedabad?

    Both. Deep is based in Ahmedabad and works in person with companies across Gujarat, but most engagements — including with teams elsewhere in India and worldwide — run remotely. Architecture reviews, code audits, and production LLM work do not require being in the same room.

    What industries do you consult for?

    The work so far spans assistive technology (SmartON smart glasses), fintech and GST compliance (XwFin), consumer AI (skibdrip, a personal AI stylist), and AI marketing automation (Sunbots Marketing). The common thread is production AI systems — LLMs, computer vision, and browser-native AI — rather than any single industry. If your problem is 'we need AI that actually works in production,' the industry matters less than the engineering.

    What is the difference between an AI consultant and an AI agency?

    With an agency, you talk to a salesperson and the work goes to whoever is free on the bench — often a junior engineer you never meet. With an independent consultant like Deep, the person who scopes the work is the person who does it. You get direct access to someone who has shipped AI products to tens of thousands of users, faster decisions, and no communication layers. Agencies make sense when you need a large team; a consultant makes sense when you need judgment.

    Start with a conversation

    Tell me what you are building and where AI fits — or where it is failing. If I can help, I will say how; if I cannot, I will say that too.

    Get in touch