A LANGUAGE INTERFACE FOR FINANCIAL INFORMATION.
Ever wondered why almost all large language model-based chatbots get questions about finance wrong. It's because these models don't source information from primary sources making their answers unreliable. And even if they do it's extremely hard for them to know where the right answer is.
Enter Nullpointer's Fincopilot. Powered by closed- and open-sourced large language models, Fincopilot is like a ChatGPT for finance, but one that rarely gets it wrong.
At present, our solution caters to data from India's department of statistics. Search through hundreds of PDFs containing India's growth, inflation and industrial production data using simple questions.
Access to the solution is free for a limited time, take it for a spin and give us your feedback.
Access to the solution is free for a limited time, take it for a spin and give us your feedback.
Expertise.
Structural Credit Ratings.
We have applied the Merton Model, with reference to KMV Model used by Moody's Analytics for publicly listed companies. This was project was initially completed for Indian equities as a research assignment for ICRA Ltd. We applied the same model for S&P 1500 securities as well and the results are available here.
Estimated Credit Loss Computation.
Developed the analytics engine for an integrated credit loss calculation tool that helps banks increase the accuracy and efficiency of risk provisioning calculation. The analytics engine, which is served through APIs, does end-to-end tasks from cleaning to statistical modelling on the provided data
Predictive Credit Ratings.
Built a solution that augments the long-term credit rating methodology for corporate borrowers using a machine learning algorithm optimised for the Indian capital market. The solution significantly reduces the data and time required to arrive at a rating decision.
The Team.
Backed and Enabled by.
Clients and Testimonials.
"We interacted and worked with two bright explorers, Akshay and Bala, in the Nullpointer team on two intricate assignments. We were highly impressed by their strong technical acumen, their desire and diligence to solve complex problems, and a genuine intent to work in the best interests of customers. To any institution or professional grappling with statistical modelling, artificial intelligence or business-related mathematical problems, we would highly recommend partnering with Nullpointer."
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"We worked with the team of Null Pointer (Bala & Akshay) as part of few analytical projects they did for our organization. The work done by them was professionally handled and the quality of output was also better than our expectations. The team at Null Pointer was prompt in resolving any issues that were brought to their notice.
Overall we were more than satisfied with the team and their quality of work and would recommend them to others too." |
- JITIN MAKKAR, Vice President and Head - Credit Policy, ICRA Limited
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- VIKAS TARACHANDANI, DGM and Head - Financial Services, ICRA Analytics Limited
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