Spotflock’s deeptech solutions help businesses leverage AI, IoT and blockchain
In 2017, most companies became ready for Big Data, but only scratched the surface with business intelligence and automation.
Sridhar Seshadri felt the need to build a platform and products that could lead positive societal change. His true motivation was the desire to “implement deeptech for businesses and e-governance verticals”.
IN January 2017, he had founded Spotflock technologiesa deep technology company specializing in AI, machine learning and natural language processing.
Spotflock built a self-service platform and SDK that allows anyone to tailor their ML, NLP and Computer Vision requirements with an interoperable framework. This has since been deployed for several global customers in healthcare, telecoms, sports, retail and e-commerce.
“The impact these technologies are creating in the lives of individuals is enormous, and that was our primary motivation for continuing to move forward as well,” says Sridhar Seshadri, Co-Founder, Spotflock Technologies. Seshadri is an industry veteran with experience from Meta and EASports.
Headquartered in Milpitas, California, with a product development and innovation center in Hyderabad, Spotflock’s products help businesses leverage AI, IoT and blockchain technology to improve decision-making and self-learning processes, and augment human capabilities to solve real-world problems.
Spotflock also makes AI solutions for the e-governance and sport-tech sectors.
Sports have seen an increase in the use of technology in recent years. Spectators witnessed Video Assistant Referee (VAR) and semi-automated offside technology this year during the FIFA World Cup in Qatar.
Computer vision can detect player movements and body positioning during gameplay. The data is then labeled with a keypoint skeleton tool so the model can track and predict the players’ movements. This data is then used to analyze player performance, reduce injuries, improve coaching methodology and determine the effectiveness of specific strategies.
“We are working in that direction and developing products using our deep technology platform,” says Sridhar.
AI also makes the systems increasingly better at simulating human-like tasks. This is evident in the rise of golf technology and golf experiences driven by data and applications, whether it’s data analytics used during live matches or mobile apps that help players track and perfect their swing.
Spotflock has built a system that scientifically uses AI to investigate fluctuations (like a simulator). It provides an in-depth analysis of a golfer’s swing and stance, measuring shot distance, power and trajectory. For a wider view, it can connect to devices like smartphones, TVs and even projectors. It can be used to practice indoors from the comfort of your home and is a portable product that you can take with you anywhere.
“We also train the model to improve a golfer’s putting technique. It has the potential to predict the angle of the green and the speed (effort) required to make a perfect putt.” says Sridhar.
Spotflock has successfully executed many large projects. These include a project for Sembcorp India (energy sector), where it created an early warning signal system for hazard protection using Computer Vision and ML systems.
For the Rakuten Group (telecom sector), the company WiKi Voice performed POCs (smart dashboards) for worker safety (helmets, safety kit detection), and an AI barcode scanner that captures product information.
For Embark Water India (utility sector), it used ML to prevent water theft from water-dispensing ATMs and predict supply and demand from a hub-and-spoke distribution center.
Spotflock has also worked with governments, including in Haryana, where the company designed executive dashboards for the Chief Minister and deployed practical AI/ML use cases related to micro-irrigation (MICADA).
The company helped the Haryana Electricity Regulatory Commission (HERC) increase operational efficiency by 50%.
Over the years, Spotflock has built a competitive advantage in three areas: platform, products and processes.
Sridhar says, “Our hybrid AI platform’s cloud supports other platforms, and our SDK for data scientists supports all third-party best-of-breed platforms with support for interoperability and Model-as-a-Service offerings.”
The co-founder adds that the company has built products focused on portfolios such as energy, finance, blockchain, healthcare, sports analytics and e-commerce, enabling its service integrator partners to sell repeatable offerings and solutions.
Speaking about the process, he says Spotflock has created a corporate culture that attracts the best talent and focused on growing core technology competencies to create value for our customers. “When we were faced with tough competition, these areas gave us that competitive edge,” he says.
What’s next for Spotflock?
Sridhar says the company wants to go beyond immediate solutions and tackle problems more deeply.
“We want to build and offer solutions in various verticals such as fintech, martech, e-Gov and sport-tech. We want to build solutions that change people’s lives and increase the security of millions of individuals,”
He added that the biggest difference from other players in AI is that the company can reach a prototype customized solution for customers within three months. “We can feed data to our patented AI tools and make the customized AI model operational for our customers within three to six months. Other available platforms on the market take at least a year to migrate from the current manual or semi-automated setup to an AI platform, he says.
Another major breakthrough is to make the entire existing team part of the overall solution so that real solutions can be built based on “their years of experience and correct identification of problems”. This helps to build real-time customized AI solutions for the organization.
“We want to be the one-stop solution for all AI needs with enough use cases across industries, so there is no geographic limitation in serving customers worldwide,” says Sridhar.