Synthos Technologies Protects Powerful IP with 25 Patent Applications, Reflecting the Technical Uniqueness of its Solutions
More than Two Dozen Innovative Core Technologies Integrated into Start-Up’s Forthcoming Products, Enabling New Ways of Interacting with Information
Reston, VA – Synthos Technologies, a division of Qbase, LLC, today announced that it has filed 25 patent applications protecting the innovative intellectual property developed in-house by a team of 10 seasoned inventors. The company also moved to protect its entire portfolio internationally.
The patents address transformative new inventions in the areas of in-memory computing, knowledge discovery, entity disambiguation, data compression and on-the-fly record linking and scoring – all critical components of the types of end-to-end, big data analysis solutions that modern workplaces and consumers of data will demand.
“What we’re doing is really reorienting our expectations of what modern data platforms ought to be able to do,” Synthos Chief Technology Officer Scott Lightner said. “We’re developing the technologies that will enable people to interact with information in entirely new ways, and to see the deficiencies of existing search platforms and database management systems. We’re working to put more (and more sophisticated) analytics capabilities in the hands of more people. That’s incredibly powerful to imagine. And I couldn’t be prouder of our team.”
The team of inventors leading this effort include Lightner, Qbase co-founder and Synthos Technologies Fellow Franz Weckesser; Dr. Sanjay Boddhu; Rakesh Dave; Robert Flagg; Telford Berkey, Joseph Becknell, Bryan Zimmerman, Mats Persson and Birali Hakizumwami.
The patents filed this week fall into five broad categories:
• Search (7 patents): Improving search capability within in-memory databases
• Entity Disambiguation & Knowledge Discovery (7 patents): Correctly identifying same-named or similarly-named entities and understanding their relationships
• In-Memory Database Technology (6 patents): A massively powerful big data computing engine
• Text Analysis (4 patents): Automatically reading free-form text as a human would
• Compression (1 patent): Reducing the size of a dataset while preserving decompression ability
“We’re breaking down lots of old assumptions related to database technology. One is the assumption that – for example – entity disambiguation can’t be done at scale. Of course it can. It requires building a large, high-quality knowledge base. Writing near bullet-proof code that returns the most accurate results possible. And putting it in-memory to deliver lightning fast results.”
Lightner continued, “We’ve spent years doing all of these things. Today we’ve got a performant application running on our platform utilizing this investment – and we’re very excited about the results.”
“Another assumption we want to change has to do with the transactional nature in which people expect to interact with databases today,” he said. “To get any sort of meaningful insight from a database, a person has to know two things: the data that lives there and the question they want to ask. But what if your data changes, or the questions you wish to ask change. Your database should accommodate that. And, it should return interesting insights to you at the moment you query it – making connections from within the most up-to-date version of the data, not relying on pre-determined batch-processing to make those connections ahead of time.”
Going forward Synthos Technologies will secure final patents on these 25 inventions, while simultaneously pursuing patent protection on another 24 inventions. The company maintains a culture of innovation and invention and its products are the result of this focus.