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How This 5-Year-Old Bootstrapped Startup Is Helping 20,000 Enterprise Users Gain Actionable Intelligence

The size of the IoT market is set to touch $9 billion by 2020, the majority of which comes from the use of technologies like AI, IIoT, ML in industries like telecom, health, vehicles, homes, smart cities, and manufacturing floors, among others. AI-based image analysis helps in a number of domains nowadays. Enterprise automation, computer vision, manufacturing, retail, and virtual reality-based e-commerce platforms have been the early adopters of these AI and ML-based solutions.

With such a vision, Bangalore-based AI startup called Integration Wizards is utilising artificial intelligence and machine learning to help enterprises determine actionable intelligence from images, videos, and live data. 

Founded in July 2014 by three techies — Kunal Kislay, Saquib Khan, and Kumar Raman, AI startup Integration Wizard offers computer vision and enterprise mobility-based solutions. The solutions are being used by more than 20,000 enterprise users across 16 countries and in six languages, across many verticals including pharmaceuticals, oil and gas, retail and consumer goods.

Flagship Product

IRIS is an AI-based video analytics solution which provides actionable insights. The platform enables customers to onboard cameras quickly, define use cases and analyse the information. The key functions of IRIS are to monitor, control and automate devices when it is plugged in CCTV networks. 

The product plugs into the existing CCTV network and is trained on custom scenarios based on client requirements. IRIS analyses live feed to provide real-time alerts on email, push notifications, SMS and WhatsApp. 

IRIS offers IIoT, AI and ML, enterprise mobility, through a single platform. It is used to monitor manufacturing, safety compliance, process optimization in warehouses, etc. and is also being deployed for outdoor security solutions and retail for various use cases. 

Use of AI/ML

IRIS is based on NVIDIA Deepstream for enabling fast real-time processing of inbound video streams. The product manages deployments at scale using MS Azure’s IoT platform which enables seamless communication and management through Azure IoT Hub and Azure IoT Edge solutions. 

The company also has custom hardware built on various NVIDIA GPUs which supports various platforms for different scales of deployment. The product is specialised in building complex custom models to detect objects and activities. The models deployed range from detecting fire, people, PPE (Helmet, Vests, safety shoes, etc) to the more nuanced task of detecting efficiency, postures, emotions, etc.

Recent Funding

Talking about recent funding, Kislay said, “We are bootstrapped and have been profitable since our inception and are projected to make over $3.2 million at the end of the current fiscal year. Our market strategy is centred around the quality of our solutions, mutual trust with our clients and constant innovation to give them a one-stop solution for the challenges they face.”

Hiring Phase

Integration Wizards focus on hiring young talent and help them gain the necessary technical training to enable them to contribute in very little time. The company looks at the technical knowledge of the candidates as well as if they will fit in with the company culture. 

Potential Competitors

According to Kislay, though Integration Wizards is a startup with unique offerings, he considers his competitors as companies which focus on computer vision, such as Cortexica, SightHound, Pilot.ai, and Wobot.ai, among others.

Roadmap

Talking about the roadmap, Kislay said that currently, the company is working towards expanding the installed base in warehouses, manufacturing premises, and retail outlets. By 2020, it aims to be a $15 million organisation by revenue and by Q3 in 2020 Integration Wizards also aims to onboard developers from other organisations to build use-cases on the platform suiting their needs. 

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Picture of Ambika Choudhury

Ambika Choudhury

A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.

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