AI capability for engineering teams — proved by products that run.
I'm Rajnikant Narone, founder of EmbedAI — I build AI products and run hands-on upskilling for engineering teams, so what I teach is proven by what I ship.
Start a conversationI'm an engineer with 25+ years in software, embedded systems and automotive engineering. EmbedAI is where that experience becomes AI upskilling and applied-AI consulting for engineering teams. Through AutoMotivate, EmbedAI's AI upskilling practice for automotive R&D, and workshops for engineering teams elsewhere, the aim stays the same. It moves people from having heard of AI to actually using it. Every product on this site was built by the hands doing the teaching, and each one carries an honest label for how finished it is.
Verticals
- AI Upskilling for Automotive R&D — Hands-on GenAI capability for automotive R&D teams — workshops, bootcamps and mentored pilots that leave engineers able to use AI in their own product and ECU work.
- Manufacturing and Industrial AI — Applied AI for manufacturing and electronics — capture design rules as answerable knowledge, put vision models behind existing inspection, and take the paperwork off the line.
- Automotive and Mobility AI — AI that works inside a moving vehicle and on the footage it produces — voice help that survives a dropped network, and hours of drive video turned into findable moments.
- Fintech and Trading Systems — Paper-first algorithmic trading for Indian markets — test a strategy against live market data before any money is at risk.
- Video, Media and Content AI — Turn video, audio and captions into structured, searchable knowledge — and turn one idea into publish-ready content across ten surfaces, with a human gate before anything ships.
- Home and Interiors AI — From a furniture idea to an exact cut-list, bill of materials and price — with the shop-floor operations designed to go with it.
- Knowledge, Learning and Productivity Systems — Products that capture what you do, turn it into a knowledge base you can actually search, and hand back the hours that admin takes.
Selected work
- AutoMotivate workshop — A delivery-ready two-day GenAI workshop build for automotive R&D teams, and the one carded build behind AutoMotivate, EmbedAI's AI upskilling practice for automotive R&D.
- Capabilities — Two client-proposal demos for manufacturing clients: a design-for-X (DFX) knowledge platform, and an AOI-window defect classifier.
- xPilot — A voice-first driving copilot for Indian roads that keeps working without a network connection.
- EquiSmart — Paper-first algorithmic trading for Indian markets, with a live screener and broker connect.
- KinoAI — An index of exactly which coaching video teaches a given table-tennis skill, built toward a camera-only AI coach.
- WoodTech Interior Design — Turns a furniture idea into an exact cut-list, bill of materials and cost, with live 3D and AR.
- Personal Assistant — A personal capture-to-knowledge pipeline, plus the reading layer that makes the result searchable.
Credibility
25+ years in software, embedded systems and automotive engineering.
- Electronic power steering, virtual cockpit and instrument cluster
- Body control, blind-spot detection, passive entry and immobiliser
- Automotive diagnostics, CAN/LIN and automotive Ethernet
- Cybersecurity and functional safety
- MIL/SIL/HIL testing and validation
- AUTOSAR and ECU software integration
- Keynote / AI awareness session
- 1–2 day corporate workshop
- Multi-week technical bootcamp
- Project-based upskilling programme
- Leadership coaching
- AI capability assessment and roadmap
- Mentored team pilot / proof of concept
How maturity labels work
Every project on this site says plainly whether it is in use, a prototype, in design or parked. In use means it runs today, not that it has outside customers. Prototype means the core works end to end but is not production-hardened. In design means it is specified but not yet built. Parked means it proved the idea, then paused.