Back to Home
PNT Robotics and Automation Solutions 1
PNT Robotics and Automation Solutions 2
Deal Done

Tech, Electronics & GadgetsSeason 1Episode 15

PNT Robotics and Automation Solutions

Starts From - ₹6,00,000

Where to Buy

Sharks Invested

Product Details

Entrepreneur Background

Pratik Nandan Tirodkar (Director & Founder) is the robotics, IoT, and instrumentation specialist. Pratik holds a Master of Business Administration from Deakin University and a Bachelor of Engineering from Bharati Vidyapeeth. He founded "Build My Project" in 2016 before establishing PNT Robotics in April 2021. He has accumulated extensive experience as a programmer and corporate trainer. Ashish P. Patil (CEO) is the artificial intelligence and machine learning specialist — the algorithmic brain behind ADO's language recognition, face identification, and emotion detection capabilities. Pratik Tirodkar is an instrumentation engineer, while Ashish Patil is an AI specialist. The company specialises in IoT, machine learning, AI, robotics, and other modern technologies. Despite having limited funds and no attention from major investors, they bootstrapped the company. Within just six months of launching in 2021, their efforts bore fruit — a turnover of ₹1.5 crore brought them recognition and

The Product / Service

PNT Robotics builds AI-powered autonomous robots and automation solutions — combining IoT, machine learning, computer vision, and natural language processing into commercially deployable service robots for hospitals, airports, malls, educational institutions, and hospitality environments, with an additional revenue stream from robotics education and training programmes. ADO is an autonomous robot that talks, walks, and is an artificially intelligent automatic robot — can talk in different languages, can remember faces, understand emotions from other humans by looking at them, and can take orders via screen on the robot's chest. ADO can take food orders — it can work in hospitals, restaurants, malls, and airports for taking orders, engaging, interacting, and assisting Multi-language communication — not just English/Hindi but regional languages Face recognition — remembering returning customers or patients Emotion detection — reading human facial expressions to gauge interaction quality.

The Ask

Amount Asked: ₹50 lakhs Equity Offered: 4% Implied Pre-Money Valuation: ₹12.5 crore

Pitch Presentation

The live demonstration was Season 1's most technically dramatic pitch moment. ADO walked into the Shark Tank. Not metaphorically — the robot physically walked into the room, greeted the Sharks, demonstrated face recognition, communicated in multiple languages, and accepted an order through its chest-mounted touchscreen. For a panel of investors who had spent 14 episodes evaluating pitch decks, sales charts, and product samples, watching a robot demonstrate multilingual AI capabilities in real time was a genuinely striking break from the format. Aman asked about the age of the founders — aged 24 years. He asked about their background — instrumentation engineers. They have offered training to IITs and have worked on developing a product for the Indian Navy — Kavach. The Indian Navy credential visibly raised the Sharks' estimation of the founders' technical credibility.

Sharks' Reactions & Criticism

All five Sharks were visibly impressed by the technical demonstration — watching a functioning AI robot walk and talk in the Tank was a genuinely novel experience for the panel. The exits were driven by business model clarity concerns, not product quality. Anupam Mittal exited first and most analytically. Anupam Mittal expressed reservations about their business strategy and chose to step aside from the deal. Aman Gupta followed, aligned with Anupam's commercial concerns. Aman Gupta showed interest but sought more significant traction. Namita Thapar exited on expertise grounds. Namita Thapar, although intrigued, felt that she lacked the necessary experience in the domain and opted out. Ashneer Grover was interested but characteristically direct about the business model gap. Ashneer Grover, while interested, did not actively participate in the deal-making process. Peyush Bansal was the sole investor who looked past the business model gaps and invested in the founders' capability.

Negotiation & Offers

Peyush Bansal offered ₹25 lakhs for 25% equity, with ₹25 lakhs given in hand and the remaining ₹25 lakhs on debt. The pitchers countered with an offer of 20% equity for ₹50 lakhs, taking into consideration the loan condition. Ultimately, the final deal was made with Peyush Bansal for 25% equity for ₹50 lakhs — ₹25 lakhs in hand and ₹25 lakhs on loan. The negotiation was relatively clean — one active Shark, one counter, and a deal at Peyush's original equity position.

Final Verdict

Final Deal:- ₹25L for 25% equity + ₹25L loan from Peyush Bansal

Watch the Pitch