Intel India hosts 2nd edition of Plugin Startups Demo Day

by | Jul 12, 2019

Start-up, startup

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.”

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. 

Society for Innovation & Entrepreneurship (SINE), IIT Bombay

Society for Innovation & Entrepreneurship (SINE) is the business incubator at IIT Bombay and supports technology startups that are based on products or intellectual property. It has been supporting startups since 2004 and has so far supported more than 100 startups. Majority of SINE supported startups have become revenue generating, with several having reached INR 50-100 cr. in revenue, and many startups have raised multiple rounds of funding.

Meet the 11 startups of third batch of Intel India Maker Lab

Segment: Transportation

1.     Kaaenaat

 Status: Product on customer trial

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.

 2.     Combat Robotics

Status: Final stage of product development

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.

 3.     Cyrrup

Status: product on customer trial

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

 4.     NOOS Technologies

 Status: Final stage of product development

Technology: IoT, Machine Learning

NOOS Technologies  provides Unified Brand Protection Solution using Innovative Non-Clonable Patent-pending Packaging Security Technology.

 5.     Maxerience

Status: Product on customer trial

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.

6. Entropik Tech

Status: Revenue generating product

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

7. SensoVision Systems

Status: Revenue generating product

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.

8.  Constems-AI

Status: Revenue generating product

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

9.  SkinCurate Research

Status: Final stage of product development

Technology: AI-Deep Learning, Computer Vision

SkinCurate Research’s product, DerminSIGHTTM helps primary health physicians screen and diagnose different skin conditions using a Deep Learning inference models on an edge device.

 10. Cyclops MedTech

Status: Revenue generating product (BalanceEye)

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.

11. Uber Diagnostics Pvt Ltd

Status: Revenue generating product

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.

Share This Article!

Brian Pereira
Brian Pereira
Brian Pereira is an Indian journalist and editor based in Mumbai. He founded Digital Creed in 2015. A technology buff, former computer instructor, and software developer, Brian has 29 years of journalism experience (since 1994). Brian is the former Editor of CHIP India, InformationWeek India and CISO Mag. He has served India's leading newspaper groups: The Times of India and The Indian Express. Presently, he serves the Information Security Media Group, as Sr. Director, Editorial. You'll find his most current work on CIO Inc. During his career he wrote (and continues to write) 5000+ technology articles. He conducted more than 450 industry interviews. Brian writes on aviation, drones, cybersecurity, tech startups, cloud, data center, AI/ML/Gen AI, IoT, Blockchain etc. He achieved certifications from the EC-Council (Certified Secure Computer User) and from IBM (Basics of Cloud Computing). Apart from those, he has successfully completed many courses on Content Marketing and Business Writing. He recently achieved a Certificate in Cybersecurity (CC) from the international certification body ISC2. Follow Brian on Twitter (@creed_digital) and LinkedIn. Email Brian at: [email protected]
Recommended Posts
Why Landing On The Moon Is Difficult

Landing an uncrewed vehicle on the surface of the moon or any planet is not easy; space institutions have made multiple attempts after seeing their spacecraft crash on the surface.

Similar Articles

Share This