This is is part of my live-learning series! I will be updating this post as I continue through my journey. I apologize for any grammatical
This is is part of my live-learning series! I will be updating this post as I continue through my journey. I apologize for any grammatical errors or incoherent thoughts. This is a practice to help me share things that are valuable without falling apart from the pressure of perfection.
First of all, I’m very lucky to work with amazing companies already.
Specifically for-profit companies for this list.
What is it? A partnership? Are they customers? I need specific and categorize. At the core, it must be able to help myself and our organization generate some sort of sustainable movement forward.
Actually generate the list of people. I’m doing this as I go and it will be fascinating and revealing who I add to this.
Formulate somewhat of a plan.
I will be adding links to each company over time. This could be links to their website, their social media, my favourite posts, or content, or media, the best way to reach them and more.
These links will generate contextual connections to the companies. Already, for organizations, I’ve seen myself ranking in the top 10 of Google. This can compound. This might make them aware of me. It should build up some domain authority for me. And, it will be a valuable resource for myself and others.
Why do I want to work with this company? What draws me to them. What is valuable for me? What is valuable for you as a reader.
Eric Janssen from Richard Ivey Business School and Intellitex showed me the “Dream 100”, which is the 100 dream customers you could have. That really stuck with me. There is so much good that can come from an activity like that. The first time I did it, there was a newfound focus. I didn’t execute the way I wanted to necessarily but its a list I can revisit. Some of that has found its way in here.
This will be a lot of information. The page could load slow. It could be unruly. It could be hard to find people. Do I do it in alphabetical order? Are there ways I could let people sort?
This will be hard to do. How do I best categorize companies? Do I need sub-categories? If so, how do I display this information?
How do I detect when links break?
This is a creepy post and thing to do 😂 I don’t know. How can you manifest things? This seems like a good way to do it. I really do love all these companies in some way.
Someone on this list is divisive. I can already see for example Amazon is on the list here who is wildly controversial for their impact to the world. How do I reconcile that? This is good self-reflection and something I need to address.
Someone does something bad I didn’t know about when I added them to the list.
Because I am stream of consciousness typing companies on a first pass as I add them, I may spell names or categorize them wrong. This could be misrepresentative and hurt someone’s feelings or success (in some way I know that’s a stretch lol).
This could be a massive task that takes months or years.
At least one link.
At least one social media link to follow. Preferably Twitter, LinkedIn, Spotify, Instagram.
One website link. To Wikipedia at the minimum. To their site, if they have one.
Team size. Year created. Founder details.
Hear Well Be Well
Gong.io enables revenue teams to realize their fullest potential by unveiling customer reality.
The patented Gong Revenue Intelligence Platform captures and understands every customer interaction then delivers insights at scale, empowering revenue teams to make decisions based on data instead of opinions.
Genius (Formerly RapGenius)
Sony Music Entertainment
Universal Music Publishing Group
Warner Music Group
BMG Rights Management
Red Hill Records
Def Jam Recordings
By combining signal processing expertise gained from Israeli intelligence, with clinical psychology and AI, they developed a novel solution that can listen to voice interactions and can reveal a person’s core characteristics.
Humanyze’s social sensing and analytics platform, developed at MIT, enables companies to quantify social interactions that were previously unmeasurable. This information can be leveraged to enhance teamwork and employee engagement, improve processes, and plan for growth. Humanyze has created a sensor-laden badge that transmits data on speech, activity, and stress patterns. Microphones and proximity sensors help employers understand what high-performing teams are doing differently compared to less effective ones.
Drive.ai is a Silicon Valley start-up founded by former lab mates out of Stanford University’s Artificial Intelligence Lab. The company is creating AI software (deep learning) for autonomous vehicles. Drive.ai wants its autonomous vehicles to not only replicate the driving part of the human driving experience, but also that communicative aspect. The system will include a roof-mounted exterior communication device, which will use written cues, as well as more language-independent signs like emoji to communicate the intent of the vehicle to those around it.
Beyond Verbal’s patented technology analyzes emotions from a speaker’s voice in real-time, as they speak. Their API can be integrated into a number of apps and devices. The technology does not analyze the context or content of conversations, nor does it record a speaker’s statements but instead it detects many different signs in a speaker’s voice that indicate they are anxious, well-rested, agreeable or angry, for example. Applications include identifying a speaker’s complex emotional state in settings in call centers, and matching people on dating sites based on emotional state. The company is also expanding its technology to detect diseases, such as heart disease, based on the user’s voice.
Kairos is a Human Analytics Platform for Developers, allowing users to capture data that measures people’s feelings and interactions. The company’s APIs and SDKs make it easy to integrate face analysis into any mobile or web application, helping to understanding how people feel as they interact with content, products, and the real-world. Applications include: Advertising; Healthcare; Time & Attendance; Online Education; Cars & Automotive.
NuraLogix has developed patent pending technology for detecting hidden emotions. The company’s Transdermal Optical Imaging™ (TOI™) technique utilizes a conventional video camera to extract facial blood flow information from the human face. Applying advanced machine learning algorithms and neuroscience the company is able to use this information to model and detect hidden/invisible human emotions regardless of the presence or absence of facial expressions. Application areas include: Marketing; Security (deception detection); Medicine; and AI (Artificial Intelligence). Nuralogix was founded by Professor Kang Lee of the University of Toronto’s Ontario Institute for Studies in Education (OISE).
When two people interact, speech is only part of the content with the rest of the message delivered via body language, poses and gestures. gestigon’s middleware provides this body language awareness to any device, enabling them to interpret explicit gestures (such as finger pointing), as well as anticipate the user’s needs by understanding implicit human behavior (such as scratching your head). Human centric interfaces enable fundamentally new user experiences which can make communicating with technology intuitive, easy, and fun. gestigon has a special focus on embedded systems, such as smart phones, tablets, other mobile devices, automotive, and medtech.
iMotions software, which is designed to provide the most comprehensive, easy to use and scalable biometric research platform in the market. It helps clients conduct human behavior research in the areas of Psychology, Neuroscience, Human Factors Engineering, Education, Health, Business and Human Computer Interaction. The iMotions software integrates biosensors and synchronizes eye tracking, facial expression analysis, EEG, GSR, EMG, ECG and Surveys in one unified software platform. The platform, which is targeted at Market, Academic, Usability and Gaming research is used worldwide by leading universities such as Harvard, Yale and Stanford as well as corporations such as P&G, S&P and Nestle.
Affectiva’s solutions provide insights into consumers’ emotional engagement with anything from digital content to brands, advertising, movie trailers, and TV programs. Spun out of MIT Media Lab, Affectiva also enables developers to add emotion sensing and analytics technology to their own apps and digital experiences. The company’s emotion data repository consists of more than 3.9 million faces analyzed from over 75 countries, amounting to over 40 billion emotion data points. This data fuels the training and testing of its classifiers.
Receptiviti’s natural language analytics tools help organizations gain an understanding of their people and audiences. Receptiviti provides technical users, developers and data scientists with an API that enables them to integrate NLP-based analysis of psychology, personality, thinking style, authenticity and more. Receptiviti enables bot makers and AI technologists to use these insights to guide actions, communication styles and build stronger relationships and user dependencies. Receptiviti enables AI platforms with emotional intelligence by analyzing natural language, tweets, email, IM, chat and voice.
Koko / USA / Founded 2015 / Emotional support as a service
Koko provides emotional support as a service for any product, including chatbots, voice assistants, and online communities. Koko uses its crowdsourced data – a massive repository of “human kindness” – to unlock new forms of artificial, emotional intelligence. The company uses the output of its peer-to-peer system to give machines the ability to provide nuanced, empathetic support.
Emoshape develops a microchip that enables an emotional response in AI, robots and consumer electronic devices. The company says the most innovative aspect of Emoshape microcontroller breakthrough is its real-time appraisal computation and Emotional Profile Graph (EPG) computation functionality allowing the AI or robot to experience 64 trillion distinct emotional states. The technology has applications in the realm of self-driving cars, personal robotic, sentient virtual reality, affective toys, IoT, pervasive computing and other major consumer electronic devices. Applications including Human machine interaction, emotion speech synthesis, emotional awareness, machine emotional intimacy, AI’s personalities, machine learning, affective computing, medicine, advertising, and gaming.
Empatica designs and develops “the world’s smallest and most accurate” wearable device for medical research of human behavior in daily life. The company’s E4 wristband is a wearable wireless device designed for continuous, real-time data acquisition in daily life. It monitors autonomic nervous system disruption and heart rate variability, among a set of 5 sensors. The company’s Embrace watch monitors physiological stress, arousal, sleep and physical activity. Over 135 leading hospitals, universities and companies use Empatica’s wearables including Boston Children’s Hospital, Stanford, MIT, Yale, NASA, Microsoft Research and Intel.
CrowdEmotion enables smart devices to capture and index engagement, emotions, and body language. The company blends academic thinking in emotion recognition with its cloud-based sentiment software to unlock human understanding. MeMo is a two-way video format that responds to body language to serve highly personalised content, provide emotional discovery, and understand engagement. The company’s CloudEmotion API allows users to capture, quantify, and interpret emotion data. Users can track facial expressions, listen for arousal and stress, or work with CrowdEmotion to experiment new biometrics.
Feel is a wearable wristband that leverages proprietary algorithms to recognize and track human emotions throughout the day. At the same time, the mobile application provides actionable recommendations based on advanced psychological techniques, to help users develop positive emotional habits and achieve wellbeing. Feel consists of 3 parts: the wristband, the emotion recognition algorithms and the mobile application.
nViso provides a scalable, robust, and accurate artificial intelligence solutions to measure instantaneous emotional reactions of consumers in online and retail environments. Using award winning artificial intelligence and proprietary deep learning 3D Facial Imaging technology, compatible with ordinary webcams, nViso uncovers the “why and how” of customer behaviour in real-time, letting brands make smarter business decisions. The company provides real-time and actionable information for Market Research, Brands, Creative Agencies and R&D Product Development.
List of affective computing companies sourced from Venture Radar here.
Another list of affective computing companies from Venture Radar is here.
21st Century Fox
The Walt Disney Company
Full list here.
Founded by Tesla CEO Elon Musk, Neuralink Corporation represents the tech visionary’s latest innovative effort, this time with the goal of merging computers with the human brain. Neuralink endeavours to create a super-fast, high bandwidth brain-machine interface that can help the brain work better using artificial intelligence (AI) concepts. Neuralink has received over $151 million in funding since its founding in 2016.
The company has looked to academia to hire several high-profile neuroscientists who can lend their expertise to developing the new frontier of brain-machine interfaces. Ongoing projects seek to outfit the human brain with thin threadlike electrodes – sewing the ‘threads’ into the brain — so that the brain’s cells can be directly accessed and manipulated using artificial intelligence. Musk has stated that the ultimate goal of Neuralink is to create a symbiosis between the human brain and AI.
Neurable describes itself as a company that builds “full-stack neurotechnology tools that interpret human intent, measure emotion, and provide telekinetic control of the digital world.” The company made news in 2017 for inventing the world’s first brain-controlled virtual reality (VR) game. Players wore an EEG headset while they sat in front of a computer and were asked to drive a remote-controlled car around with their minds.
The brain-computer interface company recently raised $6 million to move beyond its role as a VR game developer and work on building a next-generation brain-computer interface that can have a variety of real-world applications, such as augmented reality and VR wearables that can be used in a variety of settings and industries, such as transportation and construction.
Emotiv develops hardware and software that can be used by doctors to help improve healthcare. The company’s wireless electroencephalogram (EEG) headsets can examine stress, focus, and more. Emotiv’s products enable clinicians to build three-dimensional models of the brain to help improve the diagnosis of brain diseases and disorders. Researchers have also developed brain-computer interfaces for a variety of other uses, such as controlling blinking lights with one’s brain.
The original goal of Kernel was to develop a way to store memories outside of the brain and upload new memories to the hippocampus, the brain’s memory center. The tech startup, in 2017, boasted that it could boost human intelligence using neural chip implants. This excitement was premature, and the technology is not there yet for the exciting products Kernel had in mind. So, over the past couple of years, the company has changed directions and is now seeking to develop technologies that can both measure and stimulate electrical activity from small groups of neurons. Like Neuralink, Kernel has also been recruiting academic researchers who can contribute their expertise to accelerate the pace of innovation.
Startup NextMind is one of a group of startups building non-invasive brain-computer interfaces. NextMind recently made waves at the CES 2020 conference for its wearable brain-sensing device, the first of its kind in the industry. A fancy EEG that can record the brain’s electrical activity, the NextMind brain-sensing device is lightweight and uses machine learning to translate EEG activity into commands. The wearable brain-sensing device is a step up from eye-tracking software, which has been used for years to seek to examine cognition noninvasively and can help measure intent, as NextMind’s founder, Sid Kouider, recently told VentureBeat. The ultimate goal of NextMind is to be able to decode and understand information from the brain in real-time.
MELTIN MMI describes itself as “developing Cyborg Technology that connects bodies with machines.” The company’s products examine biosignals to produce highly accurate real time analyses of body movements. Their MELTANT-α cyborg is a robotic hand model which is used by a human user to create motions as similar as possible to our own hands while adding features such as enhanced flexibility, speed, strength, power, and accuracy. The cyborgs can be operated by a human user wearing the robotic devices, or remotely, even from overseas, thanks to the MELTIN MMI servers. While creating the MELTANT-α hand was the primary goal of the company, it has now set its sights on other modalities beyond movement, such as vision.
BitBrain offers both hardware products and software solutions in neurotechnology. Launched in 2010 by researchers at the University of Zaragoza in Spain, BitBrain has brought academic brain-computer interface applications outside of the laboratory setting. This was BitBrain’s main goal – to bring state-of-the-art wearable neurotechnology to society at large. BItBrain’s applied neuroscience solutions have informed consumer neuroscience in the neuromarketing field, and have worked towards cognitive enhancement through their health platform. BitBrain also has several software tools, such as the BitBrain Programming Platform, which seeks to accelerate the development of brain-computer interfaces.
The future of brain-computer interfaces remains exciting. With the advance of machine learning and artificial intelligence tools, coupled with the increasing power of computer processors, it may not be long until the neurotechnologies championed by these companies become a reality.
Companies and details sourced from here.
Another list of neurotech companies is here.
ATAI Life Sciences
Thanks so much for checking this out. I’ll be back to improve this content for you.
This is is part of my live-learning series! I will be updating this post as I continue through my journey. I apologize for any grammatical
In this post, I share how to build a profitable business. I’m still working on this myself. I will share insights as I achieve it!