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At Beamak, we do Cognitive Computing

As cognitive scientists, we worked for more than 20 years for leading business & technology consulting companies helping clients on their digital transformation journey. With this unique knowledge in business process modernization, computer sciences, neurophysiology and cognitive psychology, we decided in 2016 to create Beamak with one intent: provide to businesses innovative Cognitive Computing software solutions and dedicated professional services.

Intelligence is a human thing. It can be defined by our ability to reason, make decisions and solve problems. These cognitive processes are linked to psychological features such as emotions, sentiments or needs. These mental states are providing additional context related key insights which once added to other available inputs will create a conglomerate of information, providing us with a mental representation of the situation, enabling our awareness and adapting our behaviors and actions.

Our recipe put these human things inside something immaterial, inside a machine so that this machine is able to think like a human. Knowing this recipe is empowering us to create and explain how to create cognitive computing software to help companies building their Artificial Intelligent solutions.

For these innovations, we have been among the 64 semi-finalists of the Let’s Go France Trophee in 2019 (out of 465 companies) and were ranked #1 in terms of vote during the Artificial Intelligent contest organized by PwC and Slush in 2018.

Testimonials – “Beamak will add cognitive value to mathematical functions that are presently reaching their limits as proven in my AI book. You are lucky!” Denis Rothman – Artificial Intelligence Worldwide Expert (Worked for IBM, EADS, McKinsey, KPMG). Published on LinkedIN.

Cognitive & Psychological functional architecture



Hector is a psychological Artificial Intelligent computing software. It is able to assess multiple mental states, such as sentiments, emotions or human needs, providing new context related key insights for Cognitive Computing solutions. Hector can also be tailored to your business context to enhance those psychological assessments.

The information to be assessed is contained within a verbatim (a text file). The content can be taken from a large collection of texts such as voice of the customer material, web pages, online news, internet discussion groups, online reviews or survey responses, blogs or social media content.


Humans retain information in their long term memory. This long term memory (our database) is organized in a structured way. Information is stored and linked to other information to form a complex network. These links will enable the transmission of some characteristics of one information to another information so that both will share a set of properties. These links will shape a semantic network where many key objects are linked together by a set of properties conveying meaning. Now, knowledge can be represented, can be used while reasoning, making decisions and solving problems. We called this categorized data structure the VirtualBrain. Hector is using specific VirtualBrains to assess sentiments, emotions or needs.

Hector is also able to work with this kind of categorized structure (VirtualBrains) to recognize the meaning contained within business context related unstructured data. This structure is use case specific and can complement the psychological assessments.

Some examples of specific VirtualBrains that we have prepared for our customers: be able to identify people requesting support, identify people looking at the competition, identify people requesting a duplicate of a document, identify people who are complaining, identify people requesting a meeting, etc… All these specific use cases are using a dedicated VirtualBrain prepared to identify the meaning contained within unstructured text. If you have such a need, a specific VirtualBrain can be prepared for your use case and Hector will take care of the rest.

Testimonials – “Beamak has the right skills to enhance the way the machines are learning…” Didier Gaultier – Data Science & AI Director, Orange Group (Worked as a Director for Google). Published on LinkedIN.


Hector is based on SmartNeurons. At Beamak, we think that to create a cognitive software, that information should be processed in a human way (natural way). The cognitive software architecture should be as close as possible to how neurons are processing chemical information. It took us one year of research in Neurosciences to collect all the information that are needed to create this functional software framework. We named it the SmartNeuron. Our cognitive engines are using this specific framework.

Sentiment Analysis

Sentiment analysis is all about processing natural language to assess and identify affective states. Hector is using a knowledge-based technique which will classify the content of your verbatim by affect categories (positive or negative). We have assigned to each of these categories a list of related unambiguous words which have been taken from the latest clinical psychological researches. We added to each of these words their related semantic field to enhance the meaning recognition of those sentiments. The result is available within a specific VirtualBrain.

Emotional Assessment

Emotion is a mental state which can be seen as the result of cognitive process. It is a positive or negative experience, producing different physiological, behavioral and cognitive changes. The role of emotions is to motivate adaptive behaviors. Hector is able to assess emotions using a knowledge-based technique in order to identify and classify eight primary emotions which are joy, sadness, anger, fear, trust, disgust, surprise and anticipation. Those primary emotions are then linked together, are influencing each other, and those associations will form a set of more complex emotions. In total, 32 emotions can be identified by Hector. Identified emotions can then be used as an essential input to other cognitive processes such as reasoning, decision making or problem solving, to adapt, alter or influence the response of the whole artificial intelligent system.

Human Needs Assessment

Everyone has a set of universal basic needs (about 40), with individual differences on these needs leading to the uniqueness of personality through varying dispositional tendencies for each need, creating an internal state of disequilibrium; the individual is then driven to engage in some sort of behavior to reduce the tension. This is the moment when needs become active and this is what Hector is identifying. Hector is able to understand in “real-time” a given situation and find the set of active needs to be satisfied.

Amazon Use Case (April 2019) – Human needs assessment on customer reviews.

Hector’s main features

Hector is a subscription-based software service. With one license, you can install Hector on an unlimited amount of servers, either on your premises or in the Cloud. It can be used by an unlimited amount of users to perform an unlimited amount of assessments. You have the freedom to adapt Hector’s usage to your exact needs. Updates and upgrades are provided for free. Another thing that is interesting. All our competitors will adapt their price to the amount of characters that are contained within your verbatim. We think that this should not be like this and you can assess any verbatim (unstructured text data) of any size for the exact same price. To help you, we will provide you with an installation and a user manual. A standard support is also included in case you would have questions. Last but not least, we would like to inform you that Hector is not linked to any third party software and does not require any machine learning in order to be executed. In general, you can install and setup Hector within 10 minutes.

Hector’s main features

If you are interested and you want to try or buy Hector, or just in case you need additional information or have a question, please send us an e-mail by clicking on the button below.

Technical Requirements

Hector can be installed on any server running Ubuntu 18.04 LTS 64 bits, having 1 available core, 2 GB of available RAM and 100 MB of free disk space.

Hector’s functional architecture

If you have a different Linux Operating System, please contact us and we can provide you with binaries compiled for your server (additional professional services).

We requested Hector to assess sentiments, emotions and human needs contained within 12 data files 1000 times and write both HTML and XML reports for each of these 12 000 assessments. It took Hector 31 minutes and 41 seconds to perform this task (6,31 data files per second) using one of the available core. This means that Hector has a capacity to assess 16 600 526 files per month (545 397 files per day / 22 724 files per hour). Additional details: 12 plain text files, between 228 bytes (227 characters / 38 words) and 6 480 bytes (6 409 characters / 1 136 words), on Intel Core i7-5500U CPU, 2.4GHz, 4 cores, 7.7GB of memory, running Linux Ubuntu 18.04.3 LTS 64 bits.

Some use cases

For one of the Big Four technology company, Beamak used Hector to assess human needs contained within buyers reviews to provide for each customer a better understanding of their needs (360° insight) and be able to compare the product description to how people saw it. This was done to help marketers to highlight the product benefits. Better knowing what customer needs is also a new input which is used to change the selection of products presented to online customers when they search within the shop for a product, augmenting the user experience and satisfaction.

Beamak’s Cognitive & Psychological Functional Architecture (Hector 1.0)

For an international Telecommunication company, serving 256 millions of customers worldwide, Beamak provided a specific VirtualBrain, used by Hector, to assess and understand the content of unstructured text, to detect sentiments, people who are seeking support and those looking at the competition. When detected, a context specific action is triggered by Hector. Most of the content is coming from social networks.

For an International Business Process Services company, operating in 11 countries, Beamak provided a specific VirtualBrain, used by Hector, to assess and understand the content of mails, tag them and assign them to the right service. Some examples describing how this specific VirtualBrain is used: taking care of people who wants to get a refund, people who need a duplicate of a document or people seeking support.

Hector’s Use Case Diagram


Professional Services

A cognitive software should be able to solve problems, make decisions and reason even if data are missing, even if, within a specific context, the current situation is not perfect or not well defined, it should be able to understand what is going on, it should be able to take care of your needs, your motivations and satisfy you by adapting itself to the context and to what really matters to you.

Linking together all mental activities and cognitive processes that humans have, we created a functional architecture which we enhanced by adding core psychological features such as needs, judgment, satisfaction, motivation and attitudes, making sure that information is processed by machines in a natural way.

Our tailored methodology will ease the specification and design phase of your cognitive software product and we would be happy yo help you on your digital transformation journey by providing guidance on how to design a functional framework for your cognitive engine and help you to structure your data to enable Cognitive Computing.

Main stages of our methodology

Testimonials – “Thanks for your help and expertise on our Digital Transformation agenda. Your expertise on cognitive sciences and problem solving is of great help !” Bill Schmarzo – CTO at Hitachi, Worldwide Big Data SME (Worked as CTO for DELL, VP for Yahoo, VP for SAP & Andersen Consulting). Published on LinkedIN.


To help you, we prepared a dedicated one day training, introducing main cognitive processes and how to implement these inside a software product. Following topics are covered: cognitive computing, data categorization / long term memory, human reasoning, fuzzy logic, decision making and problem solving. Our “Human Cognition applied to Artificial Intelligence” book will be handed out to each attendee. All you need to remember about cognition and how to put these processes inside your cognitive engine are well explained and illustrated. This training is available in English and French.

Some success stories

For a multinational Fortune 500 staffing company, we designed an expert system to support human resources to manage the impact of the digital transformation on their staff. Many jobs will change and great care needs to be given to this workforce. Based on hard and soft skills, on current and future possible career path and open positions, the smart engine is finding attractive ways forward for these people. But sometimes, more than one possible way was found and we designed a specific scoring engine based on user preferences, skills and steps to go within the problem space (because of costs) to took the best decision for the people and the organization.

For an International leading Strategic Value Network in the Automotive Aftermarket industry, operating worldwide, Beamak has been selected to support their digital transformation journey by bringing expertise in the field of AI and Cognitive Computing to make sure that data are well collected and described to be used in future smart engines (reasoning, decision making and problem solving).

For one of the top Fortune Global 500 company based in Tokyo, Japan (over 9 trillion revenue), who is currently working to define their digital transformation strategy embracing Artificial Intelligence and Cognitive Computing, Beamak was consulted to help them defining how to best design an expert system being able to support problem solving, decision making and reasoning tasks. As a result, the way information is captured, stored and used within these processes is improving the intelligence of their solutions.

Testimonials – “Thanks to Beamak to have provided details about how to do a Cognitive Roadmap. This strategic work is key to shape a safe journey and make AI implementations successful” Sandeep Raut – VP & Head of Digital APAC, Top 10 Influencer Digital Transformation. Published on LinkedIN.


Providing help, assisting people, find solutions to problems requires that a given situation is understood. And this is really complex since many cognitive and psychological processes and features are involved. Our behaviors are driven by motivation, satisfaction, driven by what we need in a particular context. The challenge is to put these human things inside something immaterial, inside a machine so that this machine is able to act like a human.

Marvin Minsky, Cognitive Scientist, father of AI, founder and Director of the MIT AI Lab, said “ If you understand something in only one way, then you don’t really understand it at all. The secret of what anything means to us depends on how we’ve connected it to all other things we know. Well-connected representations let you turn ideas around in your mind, to envision things from many perspectives until you find one that works for you. And that’s what we mean by thinking! ”

We have to make artificial core human cognitive processes and psychological features with the intent to create cognitive software solutions able to understand what is happening, able to think and adapt their behavior based on the context where they operates.

It is with this intent that Beamak was founded.

All began in 1994, as Beatrice & Mark were studying cognitive psychology in Paris. Both, very interested in computer software and programming languages, founded an association called Beamak (for Beatrice & Mark).

During two years, Beamak created about 20 different free software which were distributed by the press. In 1996, Beamak received an award for the first ever made database which could be fed with unstructured information. It was just as simple as talking to a friend to input or search information. This software featured an innovative search algorithm made with fuzzy logic.

As Cognitive Psychologists, they both worked for the French National Center for Scientific Research and the Computer Science Laboratory for Artificial Intelligence before moving their career forward within the IT & Consulting industry, working for over 20 years for companies such as Andersen Consulting, Accenture, Cap Gemini or Hewlett Packard Enterprise, managing over 200 projects for the biggest European companies.

In 2016, Beamak became a company aiming to create Artificial Intelligent software products based on cognition and featuring psychological processes.

We would be very happy to help you soon on this journey.


Beatrice & Mark