About Us

Start your journey with PredictRAM that can provide everything you need to manage your financial needs. We are Providers and developers of open financial results & economic events collective intelligence predictive analysis platform where hedge fund, independent, and sell-side analysts, along with investors, industry experts and students contribute their opinions and forecast estimates for companies & events.

Many financial market aspirants, Students and financial analysts, data scientist contribute to PredictRAM, resulting in coverage on over 200 stocks fundamentals and 25 economic indicators each quarter. Currently we are inviting financial domain students, analysts, and data science students to join us as interns, and get trained by our financial experts, improve their skills so that they become more proficient and propel their career to the next level.

As a recognized FinTech Startup by DPIIT(Govt of India) and proud member of FICCI Startup programme we are providers and developers of Collective-Intelligence platform for predicting Economic & financial markets events using blockchain, predictive analysis, big data and machine learning technologies.

By sourcing estimates from a diverse community of individuals, We provides data that is not only more accurate, but is also more representative view of expectations when compared to sell-side-only data sets which suffer from demonstrable biases. Our goal at PredictRAM is to give the market a transparent data set of true expectations, while providing analysts with a platform to build a verifiable track record.

Our diverse network consist of Financial analysts, equity analysts , financial domain students, analysts, and data science students, data analysts, CA, CFA, FRM students across the globe.

Our Reach

Covering G20 countries Financial and economic indicators.


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Consensus Algorithms

Integration of “Collective-Intelligence predictive analysis” data filtering platform with “blockchain based consensus Algorithms”.

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ML Solutions

We detect fraudulent financial reporting using RNN - Reinforced neural network & Natural Language Processing

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