Furthering its commitment towards accelerating hardware innovation and entrepreneurship in India, Intel India recently hosted the 2nd edition of Plugin Startups Demo Day as part of the Intel India Maker Lab program in Bengaluru. At the event, 11 startups showcased innovative products and solutions developed by them as part of Plugin, a collaborative incubation program between Intel India, Department of Science and Technology [DST] – Government of India and Society for Innovation and Entrepreneurship [SINE] – Indian Institute of Technology [IIT] Bombay.
As part of the initiative this year, these startups worked on their prototypes by leveraging key tools & platforms, funding, mentorship and ecosystem connect from Intel India Maker Lab in Bengaluru and SINE IIT-Bombay to develop products and solutions. Through the use of exponential technologies like Artificial Intelligence [AI], Machine Learning, IoT [Internet of Things], Cloud and Edge computing, the current batch of startups developed innovative products and solutions that can advance digitalization by solving some real life problems in key industries like healthcare, manufacturing, retail and transportation.
Out of the 11 startups, 5 startups have revenue generating products, 3 are doing customer trials, another 3 are in the final product stage of product development. The Plugin Startups Demo Day offered them a platform to showcase their products and solutions to the industry, including potential investors and hardware startup accelerators.
Speaking on the occasion, Nivruti Rai, Country Head Intel India and VP Data Center Group, Intel Corp, said
Intel India is deeply committed towards advancing innovation and entrepreneurship in the hardware and systems space that maximizes the use of data-centric technologies like Artificial Intelligence, Machine Learning, Cloud and Edge computing to develop exciting products and solutions. This paves the way for India to become a product innovation hub for the world.
Underlining this commitment, the third batch of startups from Intel India Maker Lab have developed exciting products for both local and global markets. Many of these products are already in the market, generating revenue and other products look equally promising; we hope to see them achieve greater heights soon. In this effort, we deeply value our collaboration with DST and SINE, IIT-Bombay.
Dr Anita Gupta, Associate Head, NSTEDB [National Science and Technology Entrepreneurship Development Board], DST, Government of India, said
Furthering its commitment towards creating an enabling ecosystem for innovative startups with a focus on hardware systems and products, DST initiated the Plugin program, a partnership with Intel and SINE, IIT-Bombay to promote startups to develop new products that deliver remarkable innovations. Through the program, we encourage startups that have real solutions to problems of the society, to shape their idea into commercially scalable products.
It’s very encouraging to see very innovative products and solutions from the second batch of the Plugin startups from segments like healthcare, manufacturing, retail and transportation. We are proud to collaborate with Intel India and SINE, IIT Bombay for Plugin as together they bring a lot of value along with technical & industry expertise to the program.
The 11 startups of the third batch of Intel India Marker Lab are below
Segment – Transportation
Kaaenaat
Technology – AI-Deep Learning, Computer Vision
Kaaenaat’s intelligent automotive solution, KROOZ, uses real-time, deep learning inference at the edge to provide driver assistance and route monitoring capabilities for vehicles operating in unstructured driving conditions. It leverages computer vision at the edge and analyze video data in real-time without needing them to be streamed to the cloud for analysis and processing.
Combat Robotics
Technology – IoT, Computer Vision
Combat Robotics‘ solution Arishta is an unmanned remote-controlled portable vehicle for tactical surveillance and intelligence gathering on difficult terrains with its unique and adaptive chassis-less motion technology.
Cyrrup
Technology – IoT, Machine Learning
Cyrrup‘s solution, Diesel Eye, helps in building trust and reducing operating expenses for commercial fleet owners by monitoring fuel theft in real-time built on a robust IoT platform and offering host of services.
Segment – Retail
NOOS Technologies
Technology – IoT, Machine Learning
NOOS Technologies provides Unified Brand Protection Solution using Innovative Non-Clonable Patent-pending Packaging Security Technology.
Maxerience
Technology – AI-Deep Learning, Computer Vision
Using AI and Internet of Things (IoT), Maxerience‘s solution Helix enables FMCG companies comprehend product availability at the retail shelf level in real time using vision edge analytics.
Entropik Tech
Technology – Artificial Intelligence – Deep Learning, Computer Vision
Entropik Tech‘s Affect Lab is a SaaS Emotion AI platform that enables brands and agencies to measure human emotions at scale to optimize marketing ROI. The cloud-based solution uses Electroencephalograms, facial coding, and eye tracking to measure human emotions.
Segment – Manufacturing
SensoVision Systems
Technology – Artificial Intelligence, Machine Learning
SensoVision is enabling automation of quality inspection in manufacturing units through its artificial intelligence [AI] solution. Combining AI and computer vision with custom mechanical and optical engineering, the solution helps automate parts inspections ranging from screws to big automobiles. The end-to-end solution QualViz identifies visual and dimensional defects with a 99.99% accuracy while processing 250,000 parts per day.
Its product, QualViz, is a fully automated and accurate quality inspection solution for manufacturing industry built upon advanced AI powered image analytics capability.
Constems-AI
Technology – AI-ML, Computer Vision
Constems-AI uses computer vision-based AI to automate business operations processes by eliminating manual interventions and enhancing safety, security, control, and operational efficiencies. Its range of solutions offer critical insights for industrial product quality checks, retail store asset tracking and in-store consumer engagement with the help of Deep learning enabled image analytics.
Segment – Healthcare
SkinCurate Research
Technology – AI-Deep Learning, Computer Vision
SkinCurate Research‘s product, DerminSIGHT helps primary health physicians screen and diagnose different skin conditions using a Deep Learning inference models on an edge device.
Cyclops MedTech
Technology – Artificial Intelligence – Computer Vision
Close to a billion patients suffer from medical disorders like vertigo, migraine, epilepsy, concussion, ADHD and over 20 other conditions. All these conditions show up as measurable manifestations in the eye. Cyclops MedTech is catering to this need by building clinical and wearable diagnostic and rehabilitation products for early and timely detection of neuro-vestibular disorders using eye tracking technology.
Its product BalanceEye helps neurologists, audiologists and ENT specialists ascertain the root cause of dizziness and multiple balance disorders using eye tracking technology.
Uber Diagnostics Pvt Ltd
Technology – IoT, Machine Learning
Uber Diagnostics’ Cardiotrack is an AI based SaaS platform for cardiac care solution that provides cloud and edge computing based diagnostics for heart care. They significantly reduce the cost of diagnosis through continuous innovation. The Cardiotrack m-Health platform allows primary care physicians to view ECG data captured by the IoT sensors, store patient records for easy retrieval and send the information for secure storage in the cloud.
About Intel India Maker Lab
Since its inception in January 2016, the Intel India Maker Lab, a first-of-its-kind incubation program for hardware and systems startups in India, has supported 60+ startups by offering infrastructure, technology, mentorship and business connect support for their products in the areas of manufacturing, retail, healthcare, agriculture, BFSI, and e-governance, across AI, cloud, IoT, and client compute.