Every day we create an incredible amount of highly valuable data. From the shows, we watch, to our add to carts, to our search queries, and even just walking from Point A to Point B. Each little action we take is being tracked and monetized, yet companies use it without compensating us. 

At Streamlytics, we empower users to get access to and truly understand the value of their own data and participate in the resulting profit.

We do this by allowing you to upload or connect your data from the sites you use every day. We then strip any personally identifiable information and properly compensate you for its use. 

Since launch, we’ve focused on many streaming platforms like Netflix & Spotify. We collected 5M data points in our first week of operation, but our vision is much larger than our go-to-market of streaming companies. 

The reality is that while big tech companies allow you to download your data, they deliver it in formats that are unusable to everyday people. A typical data export has 3-4 different file types (JSON, HTML, PDF, CSV) and comes in hundreds if not thousands of different files. 

Our long term play is to leverage our proprietary data standard UDIF (Universal Data Interchange Format) to become the future of data transfers between individuals, products, and organizations.

We’re enabling a future where people own their data and can easily share it amongst platforms. 

With every search, click, and page-load, users are constantly creating billions of data streams through their various smart devices. These streams are bought and sold by corporations, often without the consumer’s knowledge.

Never before has data been such a valuable commodity. In the age of deep learning and advanced analytics, access to vast troves of consumer information allows corporations to run hyper-targeted marketing campaigns, alter product offerings, power artificial intelligence, and any number of data-driven business decisions based on your personal information. 

Because of the accelerated development of the Data-Driven Marketing Economy, which is worth hundreds of billions of dollars, and the lack of data privacy laws in the US these companies have been able to continue the collection of user data completely unbothered.

And in the case where users are savvy enough to request their data from companies, the bulk of this data is delivered in files that are made inaccessible to the average person. 

These days, if a company is offering their product for free you’re probably paying for it with your data and should be getting paid for it too.

Streamlytics has created a market that flips the script and allows for Consumer-to-Business data transactions, putting the power back in the hands of the people, and giving us all a right to our own data.

By using our applications to monetize their own data, companies can now get access to richer consumer data sets to drive results, ethically, while users also benefit directly from these types of data transactions.  

By 2030, 70% of companies are projected to have adopted at least one type of AI technology. We believe that the Data-Driven Marketing Economy will continue to grow as further adoption of AI continues. 

Streamlytics taps into a seemingly endless number of different market segments on the internet. We can help users reclaim their data from online shopping retailer behemoths like Amazon, or step into the ongoing $63B Streaming Wars. Data is all around us, and our estimated total addressable market of $1.3T reflects that. We based it off of the growing activity in Data-Driven Marketing, AI, and the ever-growing spending of streaming companies.

*The Total Addressable Market statistic was developed internally by the Company based on its analysis of the cross-sections of sectors Streamlytics applies to and a goal of addressing 1% of that market.

In our efforts to bring data ownership back to the people, we are focused on growing populations. Minority communities are set to be the majority by 2045 in the US and our product roadmap reflects this.

After launching our B2C product, Clture, in April of 2019, it was received as a massive success and helped us secure major customers interested in our B2B solutions though, for competitive reasons, we cannot list them publicly at this time.

We’ve garnered positive press from outlets like Variety, Fast Company, and ADWEEK, and we also have landed major investors and interest in the media.

When consumers upload their data to our platform, we issue a Data License which gives consumers the complete right to own their data. Then, our proprietary pricing algorithm appraises their data based on stock performance and market cap. 

We strip their data of all identifying features, process it, enhance it , and resell it to enterprise customers looking for access to richer data sets to power their business decisions.

We charge an annual subscription from our enterprise customers to receive access to data from our ecosystem. This costs businesses anywhere from $60,000 to $120,000 per year and gives growing companies an opportunity to enhance their existing data teams or supplement the very expensive data science resources currently on the market. We also offer Service Level Agreements in exchange for more platform support from our team.

And for consumers who would rather not go through the process of requesting their data from each service that they use, we charge a flat fee of $49.99 to do that for them, and store their data for a limited amount of time.

*Pricing disclosed above is subject to change depending on the customer and products outlined in each relationship. The pricing proved above is an estimate.

We believe we are currently one of the only out of our competitors who take both a technology first and a consumer-first approach to data transactions. 

We believe our pricing algorithm and data standard are our major innovations that make all of this possible. Our algorithm allows us to properly compensate users while turning a profit off of our enterprise sales. And, our UDIF (Universal Data Interchange Format) allows us to simplify moving this data between services.

Additionally, we are also one of the only services that ethically sources data directly from consumers’ individual data streams. In our view, most competitors work with streaming companies and are reliant on which companies will allow them access to measure leading to incomplete and inaccurate reporting. Working with the consumers allows us to get a richer data set that is broader and more accurate.

We see ourselves becoming the future of data transfer between services and individuals. As the US follows the lead of other countries who have already taken legislative steps to restore data ownership rights to the people, we plan to be there with our proprietary technology as the flagship option from B2C data transactions.

We’re founded by Angela Benton, former IAC Executive, founder of NewMe (acquired), and Blackweb20.com, and a leader in the tech diversity movement, which led to over $47M in venture investment.

Fast Company added Benton to its list of Most Influential Women in Tech. She’s been covered by CNN, Goldman Sachs, and Business Insider. 

Surrounding her is an experienced team with rich experience in data science, entertainment, and tech.

We are a highly experienced and connected team with an excellent proprietary product that is perfectly positioned to take advantage of the recent market shifts. 

This is an opportunity to join us on a journey to transfer the value of data back to the people before it’s too late.