Infoloom’s knowledge platform empowers Subject Matter Experts—like intelligence analysts, research scientists, production managers—to gain control of overwhelming data. Meanwhile, anyone who knows a programming language (e.g. Python) can immediately import into and export from our platform — without being restricted from using any of the selected language's valuable features.
This separation of concerns—with Subject Matter Experts in charge of information management—is possible because Infoloom's design combines AI with human curation. For us, that means a pre-existing, flexible data graph structure with a RESTful API and a user-friendly interface which is independent from the backend.
Organizations rapidly see meaningful connections they've never seen before, as between different sheets, databases, documents, web pages, social media, news sources. In addition, organizations can make their content as precise as needed, because the Subject Experts are now merging, splitting, renaming, linking, unlinking the data.
The Networker’s AI-based algorithms acquire the data and process it into a graph that we construct according to the requirements of the Subject Matter Experts who’re responsible for using the data. The import and export scripts connect to the Networker’s powerful API and are created either by us or (if preferred) by the client organization’s IT personnel.
The Networker platform has three parts:
1. We integrate and connect existing data into a topic network by using customized models created from every set the organization provides. Data sets include databases, XML, spreadsheets, web pages, documents. Once the patterns for acquiring information have been defined, we can quickly create the ingest scripts. We can also train our clients' teams to use our API to write their own import scripts.
2. Subject Experts can easily edit —merge, split, link, unlink, rename, comment— the data acquired by those algorithms.
3. Custom queries can be created to export data from the graph, and the results can be used for visualization, to produce reports, create a static web site, and more. Subject Matter Experts can produce concurrent reports, with filtered information depending on multiple criteria like language, access rights, domain relevance, etc.
We designed the Networker to boost the decision-making capacities of the Subject Experts. They tell us what needs to be integrated, what output is required, and they have full freedom to edit the data to be as precise as possible.
The Networker is designed to be used as middleware, because it is open for integration with other software components (e.g. natural language processing, etc.). Our Networker platform, featuring a RESTful API, can stand alone or be inserted as middleware into the client organization’s information system.
Infoloom Inc. — New York City — [email protected]