The Passenger Name List application was developed by ai-one for one of the largest airline ground handling services company in the world.

The PNL Matcher is being used by airlines at the JFK, FRA, and ZHR airports to efficiently and accurately match a PNL (Passenger Name List) with the different suspect lists (no-fly list) supplied by official sources such as the U.S. Department of Homeland Security (DHS) Secure Flight Program.

This application uses the core ai-one™ technology in a limited but very effective way.  The challenge in this area is the need to comply quickly with new U.S. DHS requirements to effectively screen passengers before boarding a flight.

The challenge for such an application is, when a ticketing agent creates a ticket for a passenger from a country that does not use the western alphabetic character set and phonetically spells the name.  Since the spelling could be very different from different agents, the software has to be intelligent enough to find and match suspect passengers to the DHS list.  Additionally phonetic use of characters is varies from country to country but must meet U.S. requirements for quality.

Use Case Summary:

The BON Matcher is an ai-one implementation enabling a leading swiss retail store to analyze all scanned credit card receipts.

After the scan process, all credit card receipts are analyzed and matched against patterns using a-one’s API.

Our solution corrects the errors of the optical character recognition (OCR) system when it fails to recognize 100% of the elements.

This was an early validation of our technology. It  affirmed ai-one’s superiority over alternative artificial intelligence-based solutions as a much faster, better quality, and less expensive solution. The retail chain saved substantial operating costs by automating this process and was able to reduce its workforce by 15 people.

The project was finished after 3 months of development time and is still being used for more than 80 stores.

The feature of the technology used in this application is commonly used in document archiving systems where users need to search for documents that have been scanned with many character errors.

Benefits:

• Improved OCR performance from 80% to 98% in less than a week after implementation.
• Enhancing OCR recognition in a separate, low-cost post processing process
• Faster data availability
• Additional fraud detection possibilities

Deployment:

Customize software development

Status:

Solution in place. Successful since 2006 launch.

Partner:

Swiss Data Safe AG

Application areas:

• OCR recognition
• Numerical series matching
• Data management / Archiving

Target Industries:

• Information management
• Retail

For Immediate Release

ai-Fingerprint shows a graphical representation of the knowledge within a news article

San Diego, CA – Artificial intelligence vendor ai-one will unveil a new approach to graphically represent knowledge at the SuperData conference in San Diego on Wednesday November 16, 2011. The discovery, named ai-Fingerprint, is a significant breakthrough because it allows computers to understand the meaning of language much like a person. Unlike other technologies, ai-Fingerprints compresses knowledge in way that can work on any kind of device, in any language and shows how clusters of information relate to each other. This enables almost any developer to use off-the-shelf and open-source tools to build systems like Apple’s SIRI and IBM Watson.

Ondrej Florian, ai-one’s VP of Core Technology invented ai-Fingerprints as a way to find information by comparing the differences, similarities and intersections of information on multiple websites. The approach is dynamic so that the ai-Fingerprint transforms as the source information changes. For example, the shape for a Twitter feed adapts with the conversation. This enables someone to see new information evolve and immediately understand its significance.

“The big idea is that we use artificial intelligence to identify clusters and show how each cluster relates to another,” said Florian. “Our approach enables computers to compare ai-Fingerprints across many documents to find hidden patterns and interesting relationships.”

The ai-Fingerprint is the collection of all the keywords and their associations identified by ai-one’s Topic-Mapper tool. Each keyword and its associations is a coordinate – much like what you would find on a map. The combination of these keywords and associations forms a graph that encapsulates the entire meaning of the document.

The real-world applications are impressive. “It solves a lot of so-called Big Data problems because the system learns by itself,” said Olin Hyde who worked with Florian on the project. “ai-Fingerprints work with existing computer languages and standards. So it only took us about a week to create a generic tool, called BrainBrowser, to find relationships in complex texts – such as summarizing news articles, searching for a job, or identifying new uses for a drug.”

To build BrainBrowser, the team fed ai-Fingerprint results from Topic-Mapper into a natural language processing tool, OpenNLP, so that the computer could understand the rules of grammar then tag parts of speech, chunk phrases and classify words into categories (also called named-entity recognition). The ai-Fingerprint is continuously updated by Topic-Mapper so that the computer can understand how information changes over time – as it does in a human conversation.

Next, the team built a little tool in Java that converted the output into a continuous data feed using an open-standard format called XGMML. This format shares the knowledge of a document as a network of words, sentences and relationships.

Finally, they visualized the result with an open-source bioinformatics tool, called Cytoscape, to show the differences, similarities and identify anomalous information among documents. The result is a graphic representation of knowledge that can show clusters, extract summaries and compare many documents at the same time.

The approach is easy for others to replicate with other technologies. “We used Topic-Mapper with Java, OpenNLP and Cytoscape,” said Florian, “But you could easily do this with Python, MATLAB and NLTK. Heck, you could throw a voice recognition tool on it, like Dragon or Nuance, and you can build an intelligent agent just like SIRI.”

ai-Fingerprint works in any language because Topic-Mapper looks only at byte-patterns. “The approach can give false positives if you don’t teach it the rules of language” warned Florian, “but it is very accurate once it learns the grammar from an outside source of information – such as a natural language processing system or an external database.”

ai-one’s engineering team sees ai-Fingerprints as a way to make it easier, faster and less expensive for their partners to develop intelligent systems. The team is now testing it for applications in advertising, financial analysis, medical research and search engine optimization (SEO).

“Our mission is to make powerful AI available to all developers. This is a big step in that direction,” said ai-one’s chief operating officer Tom Marsh. “We are eager to find academic and consulting partners who can build upon what we started.”

“BrainBrowser is just a minimally viable product (MVP) to prove the concept,” added Hyde. “The sky is the limit for those that want to build commercial applications. Just take the MVP code and customize to your needs.”

A demo of the system can be seen on www.ai-one.com and the semsys YouTube channel.  ai-one intends to provide the source code for ai-Fingerprint as part of its Topic-Mapper software development kit.

San Diego CA | October 20, 2011 – Did you miss the wave? Artificial intelligence is transforming entire industries by finding value in big, complex data.

The San Diego Online Society (SANDIOS) will host a public seminar on Thursday November 17 on how artificial intelligence (AI) is being used by leading edge companies around the world.

Recent advances in AI technology make it easy to build machines that can learn like humans. Now almost any programmer can build systems like Apple’s SIRI and IBM Watson by combining off-the-shelf technologies. A leading vendor of machine learning technology, ai-one, will present case studies from a wide range of customers. The seminar will focus on showing practical ways businesses can use AI.

Questions that will be addressed: 

• What is AI & why everything you think you know about AI has changed
• Business uses for ai-one technology
• Demo of a cutting edge AI application
• AI incubation models
• How to succeed with building an AI business
• AI Product strategy

The event will be hosted by Jones Day which specializes in intellectual property and business law.

Tickets available online at:   http://sandios-11-2011.eventbrite.com/

About ai-one inc., ai-one provides an “API for building learning machines”.  Based inSan Diego,Zurich andBerlin, ai-one’s software technology is an adaptive holosemantic data space with semiotic capabilities (“biologically inspired intelligence”).  The Topic-Mapper™ SDK for text enables developers to create artificial intelligence applications for semantic discovery, knowledge collaboration, sentiment analysis, and data mining.

Contact: Olin Hyde, Ph: 1-858-381-5897, email: oh@ai-one.com, web: www.ai-one.com

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For Immediate Release:  September 12, 2011

DoD vendor Ariston Consulting partners with artificial intelligence startup to provide test & engineering services powered by machines that can learn like humans.

Sierra Vista AZ – Ariston Consulting and ai-one announced a strategic partnership today that will provide the US Army Electronic Proving Grounds with machine learning tools to test and evaluate military Command, Control, Communications, Computers, Cyber, and Intelligence Test Bed (C5ISR) systems.

(Pictured L to R) Steve Mecham COO and Woody Woodruff, CEO of Ariston Consulting; Tom Marsh and Olin Hyde, Pres & VP of ai-one.

“This technology enables us to do far better testing in less time on far less money.” said Woody Woodruff, Founder and CEO of Ariston. “We can now automate the most burdensome tasks for human analysts.”The partnership provides Ariston with a first mover advantage in building custom solutions for the DoD using a new generation of artificial intelligence tools that were released to the market in June 2011. These tools enable software developers to build machine learning into applications so computers can recognize patterns and associations much like a human.

The impact is potentially huge. More than ten percent of the DoD budget is spent on research development test and evaluation according to a report to a May 17, 2011 report to the House Committee on Armed Services.

ai-one’s technology differs from other forms of artificial intelligence because it learns without any human intervention. It detects the inherent structure of data in very complex environments so computers can recognize patterns and associations – even for the faintest signals. It automatically builds a database (called a lightweight ontology that shows humans how any piece of data relates to another. The technology works with any digital file – including text, images and radio signals.

Ariston plans to start using ai-one’s Topic-Mapper product for text analytics to evaluate messaging systems for the US Army Electronic Proving Grounds. Olin Hyde, VP of Business Development for ai-one explained that “It is language agnostic. So it is ideal for finding patterns where people don’t use conventional grammar or words. For example, it can find the sentiments in Twitter feeds with only a few commands.”

Future plans include using it to analyze threat patterns in cyber security, cataloging radio signals, network monitoring and management and other trial analysis programs. “The core technology plays broadly in the C5ISR space,” said Woodruff, “the key will be finding areas where we can prove immediate returns on investment. The cost is low – so we expect it will be a question of just picking the right test environments to focus our efforts.”

About Ariston Consulting LLC., is a Service-Disabled Veteran-Owned Small Business (SDVOSB) based in Sierra Vista, AZ, providing the best testing and engineering solutions designed for today’s defense industry challenges. Ariston’s diversified experts provide solutions for test methodology and design, operational, developmental and interoperability test services, analytical and data services. Current clients include: Joint Interoperability Test Command (JITC) and the U.S. Army Test and Evaluation Command Electronic Proving Grounds (EPG) at Fort Huachuca, AZ and the U.S. Air Force Joint Test and Evaluation Joint UAS Digital Information Exchange (JUDIE) effort at Nellis AFB, NV.  In addition, Ariston is a specialist in providing Department of Homeland Security Independent Test and Evaluation services with staff experience as the Independent Tester of Secure Border Initiative Network and Project 28.

Contact:  Steve Mecham, Phone: 1-520-378-6112, email: steve.mecham@aristonhq.com

About ai-one inc., ai-one provides technologies that enable programmers to build artificial intelligence into software programs. Based in San Diego with offices in Zurich and Berlin, ai-one’s “biologically inspired intelligence” is a virtual brain that learns without human intervention. Technically described as an adaptive holosemantic data space with semiotic capabilities, ai-one’s approach provides more accurate answers than competing technologies.  The Topic-Mapper™ SDK for text enables developers to create intelligent applications that deliver better sense-making capabilities for semantic discovery, lightweight ontologies, knowledge collaboration, sentiment analysis, artificial intelligence and data mining.

Contact: Olin Hyde, Phone: 1-858-381-5897, email: oh@ai-one.com, web: www.ai-one.com

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For Immediate Release:  August 4, 2011

San Diego CA – ai-one announced today that it acquired Auto-Semantics, a local start-up providing artificial intelligence services to corporate IT departments. The acquisition is the latest in a series of joint-ventures and acquisitions by ai-one that consolidates its leadership position within the emerging market for machine learning technologies.

In less than one year from its founding, Auto-Semantics built a solid pipeline of commercial accounts to apply computational semantics to solve “big data” and marketing problems – such as modeling consumer and investor behaviors. Computational semantics is a set of technologies that enables machines to understand human language. Olin Hyde started the company to build a “smart, personalized mobile GroupOn” application to deliver coupons but was unable attract capital for that concept. “Not getting funding was a blessing – it forced me to pivot from building speculative products into providing professional services. We solved corporate IT problems using machine learning technologies. That led me to ai-one – they had the only SDK to build semantic applications.” said Hyde.

ai-one provides programming tools that enable software developers to build machine learning into applications, websites and mobile phones. The company was founded in Zurich, Switzerland in 2003 and reincorporated as a US corporation in 2009 in anticipation of going public in 2012. Unlike most technology startups, ai-one spent more than eight years developing the core technology using funding from private investors from Europe.

The technology is distributed through consulting partnerships that use it to build custom solutions for corporations and government agencies. “A lot of people ask us about who uses our technology,” said ai-one’s President Tom Marsh, “and the fact is our customers are working on very proprietary, often secret, solutions.  There are many new applications in the pipeline coming from our partners that will hit the market in late 2011 and early 2012. It’s an exciting time for us.”

Hyde met Marsh at a local MeetUp group and later, ai-one founders Walt Diggelmann and Manfred Hoffleisch at the SDSIC SuperMath conference. Auto-Semantics signed up as an ai-one Consulting Partner on the first day the program became available. “It was clear from the beginning that Olin had the pulse on what corporate CIOs were thinking,” said Marsh, “He gets how to communicate the value of our big idea: Machines can learn just like we do, and you don’t have to be IBM or Google to play in this space.  Olin fits our entrepreneurial culture with international business experience.” The stock transaction ties Hyde to ai-one where he will serve as Vice President of Business Development.

ai-one also acquired Berlin-based PPM Data Management GmbH last year and formed two joint-ventures earlier this year that embed ai-one’s advanced pattern recognition technology in commercial services: ai-ibiomics gmbh provides personalized medicine using genetic sequencing and Forensity AG sells shoeprint recognition software to law enforcement agencies and crime laboratories.

About ai-one inc., ai-one provides technologies that enable programmers to build artificial intelligence into software programs. Based in San Diego with offices in Zurich and Berlin, ai-one’s “biologically inspired intelligence” is a virtual brain that learns without human intervention. Technically described as an adaptive holosemantic data space with semiotic capabilities, ai-one’s approach provides more accurate answers than competing technologies.  The Topic-Mapper™ SDK for text enables developers to create intelligent applications that deliver better sense-making capabilities for semantic discovery, lightweight ontologies, knowledge collaboration, sentiment analysis, artificial intelligence and data mining.

Contact: Tom Marsh, Phone: 1-858-531-0674, email: tm@ai-one.com, web: www.ai-one.com

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Press Release

Brazilian Arquiware signs deal to use new machine learning SDK to enhance sentiment analysis of social media networks.

La Jolla CA | São Paulo – Marketing consumer products in Brazil is about to get a lot easier thanks to a small, innovative software company. Arquiware is combining artificial intelligence with natural language processing to enable companies to analyze feelings and opinions social media networks. They are among the first in the world to apply techniques to create tools that enable companies to understand the sentiments of customers.

“Many multi-nationals come to Brazil then realize that it takes more than understanding Portuguese to understand how a brand interacts with consumers.” said Luis Lima, President of Arquiware, “In fact, the diversity of Brazil makes it almost impossible to understand our market unless you use sophisticated tools to extract the true meaning of what people are saying about you.”

Arquiware will add ai-one’s Topic-Mapper SDK to build artificial intelligence into two existing products. SentimentWare and TopicExtractWare analyze text data from social media networks and news feeds. The new capability gives Arquiware clients the ability to understand how any given news event will impact the perception of a brand.

ai-one’s technology is used by telecom companies, security and law enforcement agencies to enable computers to read text in a similar manner to humans. “We are thrilled that Arquiware will apply our technology to social media sentiment analysis. They are ahead of the efforts I have seen in Silicon Valley,” commented Olin Hyde, VP of Business Development for ai-one.

About Arquiware DSC (Brazil), Arquiware is one of Brazil’s leading software companies specializing in application development using natural language processing (NLP) and text mining. Arquiware builds custom applications for numerous enterprise clients and sells commercial off-the-shelf products for sentiment analysis and text extraction. SentimentWare provides sentiment analysis of social networks using the Radian6 API. TopicExtractWare is a SaaS that summarizes the meaning of any corpus of text by distilling information into tag clouds. Visit Arquiware’s free sentiment analysis of Twitter feeds to determine the best samba school in Carnival.

Contact:  Luis Lima Phone +55-11-233-82742, email: lglima (at) arquiware.com.br web: http://www.arquiware.com.br

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