Here we describe in more detail what ImplicitSearch™ is, what it does, and why it matters (things like saving lots of time and money).
Use the links below to jump ahead and read about our Functional or Industry use cases.
ImplicitSearch™ enables the ability to search *for* information *with* information via several patent-pending breakthroughs in personalized machine learning AI search.
The ImplicitSearch™ technology utilizes a curated selection of relevant documents (including content that's curated on the fly as the investigator or content detection mechanism is searching), as a supplement to subject matter expertise, to train the machine learning engines on significant, implicit relationships that may not have been otherwise apparent to the investigator or more traditional content detection mechanisms. These relationships power a robust and in-depth search of the landscape to find on-point material that would otherwise be ignored or fall through the cracks in traditional search or content detection methods.
An ImplicitSearch™ machine learning AI search engine is instantiated for each search session. That engine is instantly trainable and becomes more and more focused based on the activities of the user or feedback systematically provided to the engine. It’s iterative, personalized, and generates increasingly consistent results with use.
The exemplary, curated materials used to train the ImplicitSearch™ engines can be real documents (like a Resume or a Medical Publication or a customer profile or a news article - etc.) or they can be something you "make up" like the resume of a "Dream Candidate" or an elaborate hypothesis statement about which you'd like to find implicitly similar content. The results generated by ImplicitSearch™ will include materials "like" (implicitly similar to) the training materials - hence our tagline "Search *for* Something *with* Something".
ImplicitSearch™ also includes keyword and Boolean logic (like AND, OR, NOT).
ImplicitSearch™ does not require months or years of machine learning training on gigantic learning sets. Instead, the patent-pending ImplicitSearch™ artificial intelligence engines are instantly trained by the exemplary materials that you apply to the engine as you proceed with your investigative AI search session. It's like training a bloodhound on a scent to find other materials having an implicitly similar scent.
ImplicitSearch™ (patent-pending, personalized, machine learning-on-the-fly AI search) can outperform keyword search alone. For example, by using ImplicitSearch's artificial intelligence on medical publications, one Medical Devices client estimated $10M+ in annual cost savings versus researchers using keywords only.
ImplicitSearch™'s patent-pending machine learning AI search will close the performance gap between new and experienced investigators by minimizing the reliance on keyword search and Boolean logic skills. Provide the personalized artificial intelligence ImplicitSearch™ engine your exemplary (or made-up) training materials and proceed from there.
We connect to your content (or content you are already authorized to access) or content in public domains and then enable the patent-pending ImplicitSearch™ machine learning AI search experience.