TenderCuts’ Founder Nishanth RaviChandran Launches AI-Powered Analytics Startup

Meat delivery startup TenderCuts’ founder Nishanth RaviChandran is making a fresh bet on artificial intelligence with his new analytics startup Visu.ai.

Visu.ai offers real-time theft detection solutions to retailers. While leveraging advanced computer vision, the platform claims that its AI-powered products cashier watch and customer watch seamlessly integrate with existing CCTV systems to detect internal fraud, suspicious gestures and shoplifting.

“Turning challenges into opportunities, Visu.ai was born. Our innovative AI technology integrates seamlessly with existing CCTV systems, detecting theft in real-time,” RaviChandran said in a LinkedIn post.

On Visu.ai’s products, he added that while cashier watch would spot suspicious cashier behaviors, including fraud, mis-scans or sweethearting theft, customer watch would signal suspicious gestures from shoppers, instantly identifying and blacklisting repeat offenders.

RaviChandran, a serial entrepreneur, has also cofounded other ventures as well, including MobiZippy and EBS.

What Happened With TenderCuts: This comes nearly 18 months after Delhi NCR-based omnichannel meat brand Good To Go bought TenderCuts in a distress sale.

The sale also included Happy Chops, a seven-month-old tech platform launched by TenderCuts that claimed to offer an online storefront and procurement support to local butcher shops.

“Inspired by Europe’s fresh meat and seafood markets during my travels, I founded TenderCuts, quickly scaling from 1 to over 60 retail outlets and consistently doubling revenue year-on-year. However, internal theft and pilferage became major hurdles, with no effective solutions available,” RaviChandran further said in the post.

TenderCuts’ loss jumped 4X to INR 126.8 Cr in FY22 from INR 30.4 Cr in the previous fiscal year. However, revenue only grew by 1.6X to INR 130.9 Cr in FY22 as compared to INR 78.1 Cr in FY21.

AI Firms Basking In Funding Summer: As India charts course for its own foundational model, investors are more bullish on rapidly expanding AI applications and concrete use cases – spanning across agentic AI, Platform-as-a-Service (PaaS) and enterprise IT solutions.

Some of the startups which are experimenting highly on gaining a bigger portion of the agentic AI market in India include Atomicwork, Gallabox, Gupshup, Anthropic and Zoho.

For instance, recently, Hyderabad-based AI agritech startup Harvested Robotics raised INR 5 Cr in a pre-seed funding round led by Arali Ventures. The company would deploy the fresh proceeds for product development, running product pilots and to further expand its team.

In January, Bengaluru-based agentic AI startup Quash raised $635K in its pre-seed funding round led by Arali Ventures. The company would use the fresh capital to accelerate the development of its AI-backed quality assurance (QA) agents. 

Also, logistics tech startup Netradyne that employs vision-based Driver•i safety camera system powered by AI and ML, became the first unicorn of 2025 after raising $90 Mn at a valuation of $1.34 Bn.

Government’s Push To Deeptech Sector:  The Union Budget 2025-26 has reinforced the government’s commitment to fostering India’s thriving startup ecosystem, particularly the deeptech sector.

Terming investment as the third growth engine for transforming India, finance minister Nirmala Sitharaman had said that the government will explore setting up a fund of funds (FoF) for the deeptech sector to catalyse the next generation of startups.

As per Inc42, the homegrown GenAI market is expected to see a major boom in the coming years and will likely cross the $17 Bn mark by 2030.

The local startup ecosystem has already spawned a slew of new-age companies that are leveraging existing large language models (LLMs) to build use cases for enterprises and small businesses. Other players are also building niche products for niche audiences in the burgeoning Indian GenAI space.