Typical companies have emerged and made their mark in recent years; they have done so by being disruptive and leaving the field to find their retailing brands in isolation. Some are much drawn into the hype, galvanizing attention and public notoriety by headlines like robotics, vision, and the buzzword automation. For me, such companies as "Cortical, Inc." are the workhorses quietly transforming the manner in which an enterprise manages one of its most complex tasks in data management: unstructured business text. Such Natural Language Understanding (NLU) advances as Cortical.io is helping liberate every industry from its shackles of overwhelmingly huge amounts of untapped, unstructured data.

Leverage the Potential that Lies in Unstructured Data

Unstructured data can be found in textual content of emails, reports, contracts, and social media postings, among others. It is a big barrier for every organization. Such data are not predictable, ambivalent, and even sometimes cohesive. Their sharp cutting-edge AI solutions transformed that jumble into actionably intelligent solutions. Unlike anything conventional AI could emulate, it understands unstructured data via Semantic folding-an innovative approach in NLU-by decoding meaning from an entirely different angle.                    

A Game-Changer in AI

Semantic Folding is the foundational brilliance of Cortical.io, enabling understanding without the vast annotated data needed by traditional NLP models. The implement tool exploits sparse, distributed word representations to overcome the ambiguous nature of human language, to be able to capture the complex meanings behind texts. The advantage of this approach is that it enables data capture, analysis and classification with little training time. In sectors where paperwork is abundant – insurance, pharmaceuticals and finance – its impact is profound, automating the reading of huge documents like polices and claims. This technology cuts the cost, lowers the dependency on AI experts, and gives us valuable knowledge and minimal manual work.

Custom Compressed Solutions for Everyone

SemanticPro is Cortical.io’s platform for business users to customize AI models without requiring much technical knowledge. This is the first and biggest difference because users upload documents, define where they want to extract, and train systems for their use. With this almost-complete ease of use, businesses can continue to mold the platform over time to their current needs rather than doing so with expensive and long-term costs involving AI specialists.

Proficient track record with Fortune 500 companies

Having been founded in 2011, Cortical.io always proved that it could really do very significant work for most of the top players in the world. Its effort in Fortune 500 companies in different sectors is merely an embodiment of how its NLU technologies can help enterprises overcome problems regardless of type. In the most complicated financial reports, to finding ways for analyzing pharmaceutical data, or automating insurance claim processing, Cortical.io has been able to help organizations make use of a huge amount of unstructured text and turn it into something that is insight actionable.

The Future of AI and Text Processing

AI now continues paving the roads of digital transformation across industries, and is, perhaps, Cortical's last hold in innovating unstructured text processing. Scalable, accurate, and customizable solutions that transform data management start showing into the future a company not only surviving but poised to shape that future. So, if you are an enterprise trying to successfully ride on the waves of AI across many fronts, especially navigating through textual data complexities, then you should have your eye on an advanced yet accessible approach by Cortical.io.

About the Leader

Benjamin Feist, Founder & Chief Executive Officer of Cortical.io

“The future of document processing and NLU is undoubtedly shaped by Cortical.io's commitment to pushing the boundaries of what's possible in the world of artificial intelligence.”