May 25, 2022

Search is hard, but when it comes to navigating through the thousands of documents and ideas stuck in corporate and government databases, even the better tools developed by Google, Microsoft and others don’t work well. However, Agolo makes it a feature by using smart bulletins to get in the door with the FBI and even raise several million for the upkeep of the building.

The last time Agolo and I spoke was in the summer of 2019, or I think last summer. At the time, the company created a powerful summary engine that could include documents, articles, and other lengthy content and create shorter versions that retained important points. This type of technology is valuable in many ways, but Agolo is looking for the most applicable technology.

The problem with search is that the search engines that do it are smart and dumb at the same time. They are good at finding relevant topics and organizing things using those stats (when allowed), but are stupid because they are not very good at context or extracting information. By that I mean they may or may not be good at choosing the author of a page or article because the formatting is so different – and without the ability to put those bits of information together, these machines don’t really know. what is important.

However, part of summarizing a document is understanding what is important in it—how else do you know which parts to keep and which to throw away? This information has proven to be critical to efficient search for unstructured or mixed data. Dokugami has focused on the process of turning documents into data, while Agolo is taking a related approach to help users find a needle in a pile of business documents.

The company found its technology suitable in the early days of the pandemic as the Office of Science and Technology Policy looked for a better way to organize the rapidly accumulating data on COVID-19. Searching for authors and content is great, but people want something better than regular database indexers.

Sage Fons, co-founder and CEO of Agolo, gave the example of the demand for ibuprofen. Any general search engine will simply interpret ibuprofen as the term people usually look up to learn more about the drug, and as such it is listed in the index. Even if you deploy this search technology in a domain-specific corpus such as research papers, it will not magically lead to better understanding. But a medical researcher reviewing epidemiological articles on ibuprofen already knows what it is—he needs an ordered view of how ibuprofen appears in the literature, which other drugs and their effects are most closely related to the conditions and authors studying them.

“We helped with the problem of getting the right information,” says Vaughan. And an early version of the company’s composite technology was used in conjunction with the existing OSTP search stack to improve results. Not only does it return things that should be more relevant, but it also lays out the logic behind that relevancy and shows a diagram view and the nodes (if you ask) that the query and related elements are a part of.

Now they are working on similar projects for the federal government, which sits on a lot of reports and data, but tries its best to keep everything in order, like any large organization.

Mohamed, co-founder and CTO, wrote: “Over the next two years, we redesigned the Summary to handle longer documents (often hundreds of pages) and scaled the Knowledge Graph Creator to handle millions of documents in a single graph. al tantawi In an email to gaming-updates.

Like any self-respecting micro-model of an enterprise, the systems used by Agolo are adapted to the data sets provided by the customer.

Two more examples of agolo and search metadata.

image credit: agolo

Because Agolo doesn’t necessarily build its own search solution, it has partnered with companies like Microsoft and Google. al tantawi Said: “We work both on their business proposals and implement our solutions in the implementation of their clients. At Microsoft, we are integrated across 4 sales suites, the only non-Microsoft technology included in financial services, federal services, healthcare and retail.”

So a large government organization goes to an enterprise search provider to get their documents in order, and an enterprise search provider goes to Agolo to make sure the documents are indexed and understood correctly.

“Today we have a direct contract with two US government customers, and some other contracts are under consideration,” Vaughan said. “In some of them, we integrate with other software (from Microsoft and others), but license directly from Agolo. This is due to our business model where we have both direct and indirect channels.

Those customers include the Air Force and the Department of Defense, though Vance was unable to elaborate. They are also working on a system for analyzing and ordering environmental, social, and governance reports from large corporations—another class of documents that are easy enough to read one or three, but easy to read when you look at 100 competitors from potential partners. ESG statements are fast becoming cumbersome or investment when considering.

A company led by Lytical Ventures, as well as returning investors Microsoft M12, Google Ventures, Tensility Venture Partners, Ridgeline Partners and Thomson Reuters, has just completed its Series A round. The company has raised over $18 million to date.

The money will be used primarily to hire sales and marketing staff, as well as products and development needed to continue working with existing customers. He’s due to announce some big things this year, so hopefully our Federal Government readers will find it a little easier.

Leave a Reply

Your email address will not be published.