Everyone is fascinated with financial (stock) markets and thinks it is fastest and easiest way to make money. However, majority of investors (mainly retail) ends up losing money. Stock market is not a gambling place. Making money involves strict discipline and managing risk.

Project Sora is conceptualized to help investors, mainly retail investors, to follow discipline and helps them manage risk by keeping investors up-to-date with market activity as well as their portfolio performance.

Project Sora follows four step method to help and evolve as the most important tool for investors:

• 1. Educate -> Inform investors on daily market activity with their perceived risk on current positions.
• 2. Engage -> Inform investors of interesting patterns being formed in various instruments.
• 3. Guide -> Help investors manage their risk.
• 4. Lead -> Invest for investors

Project Sora uses latest machine learning models to find patterns in stocks and create risk profile of each user. It recommends users with stock by matching their risk profile with the stock.

From more than a decade now, every organization is facing an avalanche of data. Petabytes of data is being generated every day and stored in cloud for every organization. We know data can be useful, only if we know what to look for and how fast. Data can give valuable insights about the business functioning, infrastructure health, unwanted cyber-attacks, strategic guidance etc. for any business.

Project Hawk has been conceptualized to extract the business insight or monitor the health of applications/infrastructure in continuous and always on mode. Project Hawk deploys sensors on the data to be monitored and these sensors sends data signals to master control. At master control center, complex and latest machine learning models are deployed to find any technical anomaly or business opportunity and reported to the users in realtime.