The problem Simplyfi solves
We have divided problem into two categories:
- What consumer face
- What business face
The data which different websites collects from customers are subject to data privacy and protection laws. They just can't get everything from you and store forever.
Let us give you an example, A few years ago a British firm included a clause that asked for permission to 'claim, now and for evermore, your immortal soul', and no one noticed.
Which concludes our point that there is a need for someone to simplify aur the forms, policies and terms and conditions which consumers are required to sign to avail the services.
Did you know, the data your business collects from customers or even your own employee are subject to data privacy and protection law.
Factors like location, or how you collect, sore or use the data all affect your level of risk.
We help businesses understand, anticipate, and comply with these complex rules by combining artificial intelligence with a team of expert legal advisors. Our simple digital tool helps you identify risk, and makes it easier to engage with your legal teams.
How We do it?
Step 1: - Install our extension
Step 2: - We will analyse the website's privacy policy through our pre-defined databse and make the summary with details about the data they are collecting, where you collect or use it, and its purpose.of policy clauses with attractive headlines
Our Usp:
Our technology will read the policy, analyse the policy and will provide the summary in a graphical manner. Whether you are the consumer of these policies or the makers, our product will assist you in every hurdle.
Using Ai, we will allow you to know what the company is collecting about you, what it is sharing, and much more. You don't have to read the full privacy policy with all the legal jargon to understand what you are signing up for.
Our technlogy will assess your level of risk, generate a report that helps you understand your risk, and provides invaluable action.
Challenges we ran into
Our major focus was to keep the tech stack of the solution simple so that it become fast and interactive which is challenging for us but we did using python flask server and team work.
Along with that processing a bulk of database was a great hurdle for us but we used the concept of online learning to train huge datasets and again deploying the application on server with trained weights was a major roadblock for us.