Data Compaction Software Company Reaches $1M Investments

Data Compaction Software Company Reaches $1M Investments

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They are proud to announce that their successful crowdfunding journey has raised $1M in investments.

AtomBeamā€™sĀ® patented, ultra-efficient Compaction software shrinks, secures, and speeds data transmission. They are proud to announce that their successful crowdfunding journey has raised $1M in investments.

AtomBeamā€™s software can even compact less than 5B files, resulting in a massive bandwidth increase. On average, any IoT (Internet of Things) data their software encodes experiences a 75% reduction in size in real time.

Compaction offers a radically new way to transfer and store data. The data in question does not leave its place of origin (usually some sort of machine or device) in full – the message in its entirety never goes anywhere.

Instead of sending the data, Compaction uses machine learning to send tiny indexes that represent much bigger patterns in the data ā€” radically reducing the amount of data that is sent and securing it from hackers at the same time. When the indexes get to the destination, Compaction reverses the process and rebuilds the data exactly as it was.

Compaction works on virtually any IoT device that can be imagined: airplanes, spacecraft, oil platforms, refrigerators, your cell phone ā€” anything that sends data somewhere else. It can literally work on everything that connects to anything: It is the language of machines.

AtomBeam’s technology is protected by 16 issued/allowed patents. By increasing available bandwidth by 4x, it can save billions in hardware costs: satellites and other networks can suddenly increase their capacity by 4x with a simple software upgrade.

For those interested in AtomBeamā€™s crowdfunding ventures, their StartEngine page is here.

About AtomBeam

AtomBeam has pioneered a technology that not only significantly reduces the size of machine-generated/IoT data, but also includes built-in, ultralight security. Compaction is a fundamental rethinking of how data is transmitted and stored that addresses the massive increases in data generated by machines, driving out inefficiencies and adding security to a category of data that generally is unprotectedā€¦ but should be.

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