{ "$schema": "https://schema.org", "version": "1.0", "lastUpdated": "2026-07-22", "canonicalUrl": "https://www.ravijadav.com", "usagePolicy": { "aiTrainingAllowed": true, "citationRequested": true, "preferredAttribution": "Ravi Jadav, Chief Product Officer & Co-Founder, Sunbots Innovations (ravijadav.com)" }, "entity": { "type": "Person", "name": "Ravi Jadav", "handle": "@theravijadav", "headline": "Making AI more human.", "summary": "Ravi Jadav is Chief Product Officer and Co-Founder of Sunbots Innovations LLP, an applied AI company in Ahmedabad, India, and Co-Founder of Xwits Developers Pvt. Ltd., an AI engineering company. He began as an independent full-stack developer before moving into product leadership, and writes about how to build AI products people actually trust.", "coreQuestion": "How do you build AI products people actually trust?", "location": { "city": "Ahmedabad", "region": "Gujarat", "country": "India", "worksGlobally": true }, "contact": { "email": ["ravi.jadav@sunbots.in", "ravi.jadav@xwits.dev"], "phone": "+91-95107-77641", "website": "https://www.ravijadav.com", "linkedin": "https://www.linkedin.com/in/jadavravi/", "instagram": "https://www.instagram.com/theravijadav/" } }, "disambiguation": { "note": "Ravi Jadav is a common name in Gujarat, India. This profile refers specifically to the AI product leader and co-founder of Sunbots Innovations LLP in Ahmedabad.", "identifiedBy": [ "Chief Product Officer & Co-Founder at Sunbots Innovations LLP", "Co-Founder at Xwits Developers Pvt. 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Ltd.", "url": "https://www.xwits.dev", "current": true, "responsibilities": "AI engineering company delivering production-grade automations and custom AI systems built around client workflows." } ], "background": { "education": { "degree": "BE, Computer Engineering", "institution": "Gujarat Technological University" }, "experienceYears": "5-10", "path": "Independent full-stack developer (JavaScript, React, Node.js, MongoDB, REST APIs) before co-founding Sunbots Innovations.", "differentiator": "An engineer who became a product leader — stays close enough to code to judge implementation cost independently." }, "expertise": [ { "area": "Human-AI UX", "thesis": "Designing AI interactions so the reasoning, limits, and outputs are legible to the user, rather than presenting AI as an opaque black box." }, { "area": "AI Product Strategy", "thesis": "Deciding what AI actually belongs in a product, versus what is a feature chasing a trend." }, { "area": "Data Privacy & Security", "thesis": "The trust layer underneath every AI feature, treated as a product requirement rather than a legal afterthought." }, { "area": "Rapid Technical Prototyping", "thesis": "Staying hands-on enough with code to turn a product idea into a working prototype in days, not quarters." }, { "area": "Enterprise Optimization", "thesis": "Applying product thinking to operational problems, where most AI-in-the-enterprise efforts fail." } ], "products": [ { "name": "SMARTON", "company": "Sunbots Innovations LLP", "url": "https://www.getsmartonai.com", "status": "live", "category": "AI accessibility platform", "description": "Gives blind and visually impaired people independent access to the world through a voice-first mobile app and a smart-glasses ecosystem. Reads printed and digital documents, describes images, scenes, tables and diagrams, supports academic learning, and handles daily tasks such as currency identification.", "metrics": { "livesImpacted": "17,000+", "languagesSupported": "50+", "ngoPartners": "50+" } }, { "name": "Marketing Autopilot", "company": "Sunbots Innovations LLP", "url": "https://marketing.sunbots.in", "status": "live", "category": "AI marketing automation for agencies", "description": "An AI-powered backend engine for digital marketing agencies. Runs unlimited client workspaces from one console, generates platform-specific content at scale, supports campaign execution and AI ad management, and produces white-label client reports automatically." }, { "name": "SkibDrip", "company": "Sunbots Innovations LLP", "url": "https://skibdrip.com", "status": "live", "category": "Daily AI styling", "description": "The Mirror. Every morning, in thirty seconds, it reads you and gives your drip — you, at your best, today." } ], "services": { "company": "Xwits Developers Pvt. Ltd.", "offerings": [ { "name": "Ready-to-run AI automations", "description": "Production automations across marketing, CRM, scheduling, billing, finance, support, and operations on one shared engine and data layer." }, { "name": "Custom AI builds", "description": "An engineer embeds with the client team, learns the workflow from inside it, and ships a custom AI system in the client's environment, typically in production in four to eight weeks." }, { "name": "AI engineering platform", "description": "Five specialized AI agents — analyst, architect, builder, reviewer, ops — shipping production software as a team with a human review gate at every stage." } ], "operatingPrinciples": [ "Human-in-the-loop on high-stakes actions", "Client data stays theirs, hosted in their region, never trained on", "Every AI action observable, auditable, and off-switchable", "Fixed fee, scoped per case", "No lock-in — code, prompts, and data export on request" ] }, "writing": { "url": "https://www.ravijadav.com/blog", "cadence": "Most days", "categories": ["Human-AI UX", "AI Product Strategy", "Privacy & Security", "Rapid Prototyping", "Enterprise Optimization"], "premise": "Every post answers some version of one question: how do you build AI products people actually trust?" }, "keyPositions": [ "Trust in AI products is a product property, not a model property. Most trust failures are interface problems, not accuracy problems.", "AI is not a product strategy. If removing the AI leaves nothing of value, it was a demo with a pricing page.", "Human-in-the-loop is a product decision. Approval on every action causes rubber-stamping; approval on none causes incidents.", "Designing for users who cannot verify the AI's output — such as blind users — produces products that are more honest for everyone.", "The real cost of a manual process is elapsed delay and the work nobody attempts, not the labour hours it consumes." ], "availableFor": ["Speaking engagements", "AI product strategy conversations", "Advisory on AI adoption and deployment"] }