About Us

What if the Web could think like you do? That data is out there: your calendar, your favorite shopping sites, airline schedules, hotel sites, your company intranet—the events, places and products that are important you—but the dots remain unconnected because these data sources are ill-structured. They don't talk to each other and there is no integration platform that could pull them together to make decisions based on the data you’ve provided.

We're SyNeural, and we're solving this problem by creating the Concept Web, a new Web separable from the previous Web layer (Web 2.0). This is Web 3.0,  differentiated from the current Web. The Concept Web creates a distinct layer on top of the existing linked data layer with its own referencing scheme that can be resolved with the current URI scheme. This Web will have its own way to define and handle terms, concepts, relations, axioms and rules--the structural components of an ontology. Everything else should revolve around it, data population, ontology enrichment, subject indexing, searching, matching, sharing. 

SyNeural's web platforms integrate the data on the Web to create comprehensive, machine-readable Concept Repositories. The result: Web platforms that can think and act like humans, and that can do your work for you. SyNeural platforms absorb data from all available inputs including user input and existing data about places, companies, people, products and services available on the Web to create a single system that can effectively manage people and businesses, delivering a dramatically more powerful Web experience. 

Yes, the web has put the world at our fingertips, but it hasn't done it with much efficiency. Making simple plans, personal or business, requires multiple searches, and forces the user to integrate the outcomes of those searches. That's because current search technology takes every request literally, and has no knowledge of concepts or actions. Additionally, most Web-based information is stored in databases that are created to be read by humans and “marked up” (think HTML) for basic, literal processing by machines. This places unnecessary limits on the extent to which the machines we depend on (computers, phones, tablets and the software that runs them) can process the data they find.

SyNeural platforms promise a new era of information integration and management, applying a level of intelligence not possible until now, and delivering unprecedented efficiency and value to individuals, businesses and communities. 

TownSource

Want to know if there is a Neighborhood Watch in your neighborhood? Just type that question. You’ll get an answer in plain English, not pages and pages of neighborhood watches all over the world and every other "match" the search engine finds. Type “pollen count” before sending your kids off to school and you’ll get the pollen count for your community, not an ad for antihistamines. 

This is what you’ll get with Town Source, the first application of SyNeural’s Semantic Web technology. TownSource uses Semantic Integration to digitize towns and cities and make the Web work better for everyone. Web data is structured in a way that users can ask questions in plain language and get answers to that specific question. TownSource also passively delivers information to you that it predicts you'll want based on Network Awareness.

Fed by information contributed by its users as they live their lives and conduct their businesses, a TownSource repository comes to represent all aspects of the community and the relationships among them. With search capabilities that function like a human mind, it learns and understands the meaning context of search terms, not just spelling matches, and delivers an intelligent, contextual response to every query.

TownSource integrates the data and functionality currently on the Web onto a single platform (think Wikipedia, Craigslist, Yelp, Linked In, Facebook all rolled into one) to establish the authoritative repository of real-world data of people, businesses, community agencies and the interactions among them.