As a part of the Uber team in 2015, Kunal Singh had seen how the mobility giant had started experimenting with AI (artificial intelligence) and ML (machine learning) to streamline work across a variety of functions: churn modelling, pricing, customer discounts, and marketplace matching, among others.
However, despite AI/ML systems being promised as a gamechanger for enterprises, Kunal realised that even until 2020, a majority of companies were still struggling to implement and build on emerging tech.
It was then that Kunal started Discite in Ahmedabad in 2020.
In partnership with a Mulesoft-based firm called Eshia Solutions, Discite began its journey as a full-stack AI/ML and data solutions services startup. Mulesoft is a software company based in California.
“Our mission is to democratise artificial intelligence for enterprises of all sizes, globally. We help our client companies either start or progress on their AI strategy and journey through custom-made solutions, with our major focus areas being Computer Vision, Natural Language Processing, Deep Learning, MLOps, Data Engineering and all forms of analytics,” adds Kunal.
The company recently raised an undisclosed round of funding led by US-based IT firm DynPro. The team has since moved its base to Bengaluru.
How does it work?
The startup’s prime focus is on building AI/ML solutions that add value to each organisation based on their need.
Kunal explains, “Before we write even a single line of code, we have a lot of sessions with various stakeholders and end-users within their organisation to understand their processes and their pain points. Once we build out the solution/product, we work closely with the client’s team till the time the desired business impact takes place. We also perform the role of thought partners, and explore other areas within the client’s organisation where bringing in AI/ML can give them a significant boost in highly competitive markets.”
The biggest challenge for the team has been hiring and retaining talent. Data Scientists, ML Engineers and Data Engineers are all in great demand globally, whereas relatively fewer of these specialists are actually available for hiring.
What sets Discite apart are its engagement models:
Project-based: The team builds a particular solution and then transfer/integrate it into the client’s ecosystem. Discite charges on the basis of its time and resources that go into building and maintenance of this solution.
Source: yourstory.com
