
- Corporations
- Partners
- …
- Corporations
- Partners
- Corporations
- Partners
- …
- Corporations
- Partners
- Gearbox by the numbersStartups are small. Corporations are large. Data is big. Results are enormous.Gearbox.AI stores massive amounts of information about all the companies in the world, big and small -- including their strengths and weaknesses.We then process large amounts of NLP data, machine learning intersections, and over 7 years of startup success metric correlations with refined research criteria.Then, our corporations tell us what they want. This criterion works as a search filter and, like magic, all the startups you want are in a neatly scored list.Browse this page to explore the scale of data that powers Gearbox.AI's open innovation tools.
Our Three Engines
Engine 1: Hermes
The seek-and-find portion of our system is named after Hermes, the Greek god of speed, searching, commerce and finding that which is lost.
With Hermes, we index every company on the planet, from the moment they begin broadcasting their offering to the world.
From there, we begin filling in thousands of tiny little puzzle pieces in order to give us a more complete outline of each entity and keep them as up-to-date as possible.
Engine 2: Battleship
Corporations tell us their problems and outline, using data, the ideal candidate for a solution. This criterion sets the stage for every startup in the world to be discovered, scored and ranked.
Like the old board game of battleship, two separate systems go head-to-head. The first, the data provided above. The second, the data found on startups. These two systems calculate fit.
With a 99.1% success metric in 2018, our corporations rely on Gearbox.AI's battleship to solve problems, pioneer new ways to do business, explore innovations and capitalize on opportunities.
Engine 3: cADET
Every 24 hours, Hermes...
- Adds 18,000 new companies
- Finds 72 million new points of data
- Updates profiles on 1.8 million companies
Every Solicitation, Battleship...
- Filters > 60 million companies
- Narrows down to 1,000
- Scores 1700 data points
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