We’re living in an incredibly interesting moment. Today, we’re standing before a new industrial revolution spurred on by years of digitalization, exponential data growth, and the progress in artificial intelligence.
Like previous industrial revolutions, the innovation and positive productivity impact will unfortunately come with negative side effects. These are just beginning to surface, one being the unsustainable environmental impact and cost of storing data.
This is a massive, often overlooked problem. Today, the environmental impact of datacenters is already larger than the aviation industry. Data is growing at an exponential rate. And the electricity needed to handle our data is predicted to go from 3% of all electricity to 30% in 10 years.
All this extra data is a problem for companies, too.
In short, the growth in infrastructure complexity and data volume, especially the rise of unstructured data, have revealed substantial unsolved problems that have become increasingly pressing for companies to handle, especially if they want to fully utilize the value AI can offer in a sustainable manner.
Imagine that you are a large company having to deal with the exponential growth of unstructured data, going within a few years from gigabytes to petabytes. Existing storage solutions often force a compromise between high-cost and low-performance, which causes acceleration to become almost impossibly cost-prohibitive. On top of this problem, many companies today work in hybrid cloud infrastructures, where data transfer rates and multi-vendor setups increase complexity.
With this problem in mind, we set out to find the next generation of sustainable data storage.
Meet UltiHash
Inventure’s new portfolio company, UltiHash, has developed a new type of distributed data storage that is transforming this $200b market by solving genuine customer needs while enabling more sustainable data operations.
The magic about UltiHash data storage is that it facilitates data growth without the need for a proportional storage capacity increase. At the core of the solution is a byte-level deduplication function, meaning it can, for all data types in every architecture, match binary fragments per and across datasets and then remove the unnecessary data.
UltiHash’s technology can decrease companies’ storage needs by up to 50%, helping them save millions on unnecessary storage and network costs; users only store and migrate the data they truly need. What is so impressive is that UltiHash does this without compromising speed, and can combine scalability and affordability when companies are expanding their data operations.
In the end, UltiHash really advances the ability to use and get value from high-performance data-driven applications, such as machine learning models and AI, business intelligence, product engineering, and more. This is done in a sustainable and cost-effective way, making this truly game changing for customers to use.
Backing UltiHash, and backing a new generation of sustainable data
We’re excited to lead this new $2.5m pre-seed round with participation from our friends at PreSeedVentures, Tiny VC, Futuristic VC, The Nordic Web, Antti Karjalainen, Founder and angel scout for Sequoia Capital, and other private investors.
UltiHash has just launched its early-access, giving you a chance to unlock the potential in your data.
