PALO ALTO, Dec. 20, 2020 (Online PR News) — Thinking Stack Inc., a leading innovator in visual AI that seamlessly scales from Edge to the Cloud.
Thinking Stack, a contextual visual AI company, has raised an undisclosed amount from angel investors in the US and Europe.
Thinking Stack’s ultra-fast, lowest cost solutions are deployed at some of the fastest-growing e-commerce retailers to one of the largest steel-makers in the world. Thinking Stack’s platform enables rapid customizations delivering a KPI-driven RoI and scalable Cloud/Edge deployments for privacy-preserving predictions.
“We understood that contextual intelligence has to be delivered real-time and in a privacy-preserving manner. Our proprietary 3Vision AI platform is developed ground-up on bare-metal with cloud-native technologies. It not only lets us rapidly customize solutions but also provides scalable privacy-preserving deployments that get vision solutions up and running within minutes.” commented Karthik CR, Chief Technology Office, Thinking Stack
Thinking Stack’s applied researchers focus on generalizations and bring the latest brewing AI research to practice. Our engineers then perform rapid customizations to provide only the most innovative bespoke solutions for a broad spectrum of business applications.
“In the Covid-19 scenario, we saw the need for the world to safely return to work. Our team rapidly developed reliable solutions for social-distancing and PPE compliance that are now running European and Indian industries. Now, our recent Edge AI innovations are allowing us to offer intelligence at the lowest price for our customers to discover value in applications from a small ATM or a restaurant to a large industrial establishment with thousands of IoT devices,” says Vikas Gupta, Chief Commercial Officer, Thinking Stack.
For more detailed information, please visit www.thinkingstack.ai
About Thinking Stack:
Thinking Stack Inc. is a contextual visual AI company that provides real-time intelligence and drives productivity in a wide range of industries.