At Fintech Sandbox, our mission is to help address the high cost and inaccessibility of data that early-stage fintech entrepreneurs need to build new products. These products often wouldn’t and couldn’t be built but for access to this data. We are grateful to our 40+ Data Partners who have been so helpful and generous, enabling us to support more than 450 fintech startups and counting.
We are privileged to work with these entrepreneurs when their companies are in their earliest stages, looking out over the horizon at emerging technologies, new approaches, and new markets.
We’re working hard to expand our data offerings to support our Data Access Residency founders. Here are four different types of data we think will be useful in building the next wave of fintech startups.
Private Company Credit Data
Detailed private company data is notoriously hard to come by. In-depth data on private company loan performance? Harder still.
Today’s headlines prove that even the most sophisticated investors need better data and risk models when extending loans to private companies – and when monitoring the performance of those loans over time. It’s a challenge that fintech entrepreneurs are more than willing to take up if more of the underlying data to make such credit decisions is accessible.
Alternative Data
What alternative data will entrepreneurs be looking for? What have you got?
In the ten-plus years since Fintech Sandbox was founded, the types of datasets entrepreneurs have been able to utilize have grown tremendously. They now routinely ingest unstructured data to produce trading signals and utilize satellite imagery to more accurately underwrite the perils caused by climate change. AI is also driving the demand for new and different types of data for use in training LLMs and other models.
We know that fintech entrepreneurs will continue to make creative use of new types of data, data that isn’t used in standard financial reporting or insurance underwriting today. We’re open to hearing from our community on this one!
Tokenized Securities Data
Tokenization of stocks, bonds, money funds, bank deposits, and anything else you think you might want to trade on-chain, will lead to a Cambrian explosion of new data – from reference data to tick data and beyond.
Trading these tokenized securities is going to produce a tremendous amount of new data. Tokenized stocks may not always trade at the same price or at the same time as traditional stocks, creating two or more sets of tick data. You could even have multiple tokenized versions of each stock with different rights or liquidity profiles, exponentially expanding the volume of tick data alone.
Economic, Health, and Climate Data
When data that was once reliably available and trustworthy disappears or is no longer being collected in a timely manner, where do entrepreneurs turn to replace it?
Fintech entrepreneurs need new sources for this critical information.
If your company has this data, and you would like to see how talented fintech entrepreneurs might use it, we’d like to talk to you. In fact, if you have any sort of new, unique, or different datasets, and you’re willing to help us fulfill our mission, please reach out!
If you’d like to see what six startups that have recently taken part in our Data Access Residency have accomplished using datasets provided by our partners, please register for Demo Day 12, taking place on April 28 and starting at 11:00 a.m. EDT. It’s free and virtual.
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