As the company’s annual general meeting in Budapest was approaching, Tirthankar was worried about a project. For long, the ABFL CXO’s had struggled to get timely business insights. Off the shelf BI tools were too complicated and business analysts had a TAT of 1 week. His idea was to build a natural language search powered custom tool, and its prototype was going to be in the spotlight. He had 1 week to build it after the agency he had hired failed to deliver.
To get the house in order, he began his hustle with getting the agency team to work from his office. It was clearly not working. The team had picked up something that they were not capable of delivering. All the different services companies in his vendor list couldn’t help either. He started reaching out to his ex-colleagues at multiple companies to help him out but it seemed like a lost battle until he found Ankit, a leading data scientist but also a founder busy with his startup.
Fortunately, Ankit had been working with Indiez as a customer and a community member for a few months now, and was well aware of the speed at which community members design and build. He immediately connected Tirthankar with an Indiez founder. In a day’s time, Tirthankar had a team, which he had to trust as all other options had failed. But little did he know that his mind was about to be blown away.
We had 1 week to build and the success of the prototype depended on a reliable NLP solution and stunning designs. A 5 membered team comprising of a Product manager, UX designer, Visual designer, Data scientist and Full stack developer was assembled with a clear cut goal of putting all they had in them to make this a grand success. The product manager kicked off with defining the exact scope that was to be achieved.
The first couple of days started with rigorous product design in parallel with cleaning the data sets and architecting the best fit NLU model. Having designed AI products in the past with Siri founders, the UX designer knew the right pain points to address and on top of implementing the expected, he brought a completely new dimension of social collaboration to life along with an 'insight cards' driven approach. The Data Scientist on the other hand architected a fully custom model using all the learning from his previous experiences.
In parallel, the Data Scientist architected a fully custom model using all his learnings from previously filing 2 patents in the same domain.
And in 1 week, Tirthankar had witnessed the insanely fast remote collaboration over Slack, Skype and Google Docs, and prototype that was beyond any expectations.
The audience was dazzled by the power of the prototype and Tirthankar received a standing ovation from his colleagues. The accuracy of the model and the additional feature of social collaboration were much appreciated and Indiez was set to be an Innovation Partner for ABFL.
The project was commissioned instantly and all managers leading multiple digital initiatives wanted to get in touch with us for their journey forward.