Extract keywords, compare text, detect language or disambiguate terms: our free tools can now process text and web pages in 8 different languages Discover our tools
With Twistiller, you can filter tweets based on their meaning, not just on keywords Try it out
We have wrapped our Retina Engine into a powerful platform for Natural Language Understanding read more
The latest release includes a new, intelligent search threshold detection algorithm and facilitates the detection of compound terms read more
Cortical.io’s groundbreaking approach is recognized in the latest IDC Innovator research report read more
Academic study stresses efficiency of Cortical.io’s NLP approach for finance analytics read more
Explore the foundations of the Retina technology with our first White Paper: read more
BCG’s Bruce Henderson Institute and Cortical.io are jointly exploring the application of the Cortical.io Retina in the fields of competitive intelligence and signal advantage Discover the Bruce Henderson Institute.
Big Data Semantics Engine from Cortical.io now available on the Microsoft Azure Marketplace. Read more
The combination of Numenta’s HTM technology with Cortical.io’s Semantic Folding technology will enable significant
advances in NLP. Read more
How cortical.io’s Semantic Fingerprinting technology is democratizing NLP: this is the topic of Francisco’s talk at several Big Data meet-ups organized by Dataconomy across Europe:
| London, 19 February 2015, Data Enthusiasts, London
| Vienna, 26 February 2015, Big Data, Vienna
| Paris, 5 March 2015, Big Data, Paris
| Amsterdam, 12 March 2015, Big Data, Amsterdam
| Munich, 23 April 2015
With the additional funds, cortical.io plans to bring language intelligence products to the global app-builder and
enterprise market. Read more
Francisco Webber will describe the path to Language Intelligence at Numenta’s Fall Hackathon, on Oct 18, 2014 2014 Fall Hackathon Schedule.
We have developed a technology that enables developers to perform natural language processing in an intuitive and
precise manner. read more…
Coming up soon: French, German, Italian, Dutch, Polish, Russian, Swedish and Spanish retinas.
Ready for the year of the Semantic Fingerprint? We are in the starting blocks… Happy New Year!
Visit us at the Data Natives Conference in Berlin and discover the power of AI-based Contract Intelligence Learn more
Gartner’s report “Cool Vendors in AI Core Technologies, 2017” recognizes vendors behind AI core technologies… Read more
In its latest technology report, The Economist delivers great insights about progresses made in the field of Natural Language Understanding and presents Cortical.io’s Semantic Fingerprinting approach: Read the article
Easy access to language detection functionality and semantic search over structured documents are some of the new features: read more
The latest version of Retina Spark comes with a comprehensive Getting Started guide, shows code examples and supports the latest Apache Spark 1.x release (1.6.2) read more
Francisco Webber has been invited to participate to the invitation-only event for innovators from around the world. Read more
Discover an NLP tool specially designed for high performance semantic text processing read more
The Global Annual Achievement Awards for Artificial Intelligence have acknowledged our approach: AI Awards
Francisco Webber will talk about “New World of Semantics and Artificial Intelligence” at FIBEP World Media Intelligence Congress Vienna 2015
On 7 October 2015, Francisco will introduce the Cortical.io Spark implementation for Big Text Data at Data Natives London.
Francisco Webber will talk about the Semantic Fingerprinting revolution on 12 June 2015 at Big Techday 8 in Munich.
A Summit addressing the challenges of multilinguality in Europe and showcasing innovative technologies. Riga Summit 2015
You can from now on use the Retina API as AMI (Amazon Machine Image)- More information at the AWS Marketplace.
Presenting a service that generates a content-based sub-stream from the Twitter firehose. Try it out!
Discover the main features of cortical.io’s Retina API with four short videos.
Dataconomy, 2 Septembre 2014 How an Austrian startup is mimicking brain function to revolutionise NLP.
With the new API release, you can easily select different Retinas and get the most adequate results, whether you
want to focus on context-similarity or synonym-similarity. read more…
Our Hong Kong Team is cleaning the Chinese training material, we expect a first version in Q2 2014.
Extract keywords, disambiguate terms and compare texts in 8 different languages with Iris Go to the download page
In this O’Reilly Data Show Podcast, Francisco Webber explains why HTMs might be the future of Natural Language Understanding. Read more: Natural Language Analysis using HTMs
Now you can directly compare any two texts in 7 different languages Try the demo
Francisco Webber will explain why “AI is not a matter of strength but of intelligence” read more
Improvements to the text-to-fingerprint algorithm boost the quality of text comparisons: try our sandbox API!
$5,000 cash award for the team with the best app integrating Cortical.io’s technology: read more
Cortical.io welcomes a US investor and reinforces its US presence. Read more
With Cortical.io and Cloudera, you can now analyze, compare, classify any kind of unstructured text data in any language, in any format, with no limits regarding the data volume. Welcome to the era of Big Text Data Analytics!
Our newest release includes new features like a Classify endpoint to create category filters or a Language Detection endpoint that identifies more than 50 languages. Read more
Take the chance to experiment with our Retina and more than 30 other innovative APIs at the largest European online hackathon. Go to Hack4Europe
Faster and more accurate keyword endpoint, faster and more accurate text to fingerprint transformation, generally faster REST backend… Look under the hood of this major release.
We have been selected for BETA, the later stage track at The Summit.
The association of automated semantic analysis and prediction algorithms might be a breakthrough in neuro-computational NLP.