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The Alberta Machine Intelligence Institute (Amii) is a non-profit organization based in Edmonton, Canada, founded in 2002. As one of Canada's three National AI Institutes, it plays a pivotal role in the Pan-Canadian AI Strategy. Amii is dedicated to advancing research in artificial intelligence and machine learning, facilitating the translation of scientific advancements into practical applications for industry. The institute focuses on enhancing AI capabilities through cutting-edge research, comprehensive educational programs, and tailored business advice, all aimed at fostering in-house AI development within organizations. Amii's commitment to excellence positions it as a leader in the field, contributing significantly to the growth of AI expertise in Canada.

Precursor to intelligent Hominid aka Silico Sapiens; Working on technologies of Web 4.0 or the fourth generation of web. Web 4.0 is symbiotic web, where Human and machines work in symbiosis. The idea being the symbiotic web is that once the metadata is organized humans and machines can interact in symbiosis with each other. Join the Web 4.0 community on w4a.io that is home to hundreds of thousands of developers, technologists, designers, users and enthusiasts.

Climate Policy Radar is a nonprofit organization that offers machine learning, climate legislation, and digital ecosystem services.

Essential AI specializes in developing language model-based software that enhances operational efficiency for enterprises. By automating labor-intensive and repetitive workflows, the company provides AI solutions that simplify complex tasks and improve productivity. Essential AI's software utilizes advanced machine learning and artificial intelligence models, enabling organizations to access these technologies in multiple languages. Through a combination of human feedback and technological advancements, the company's solutions empower users to unlock essential skills and amplify their impact on society.

Wright Research is a new age quantitative active investment firm dedicated to helping investors reach their investment goals and navigate the risks of investing through strong technological and investment acumen.

With just a single video recording, Gan.ai allows brands to generate hundreds, thousands, or millions of personalized copies of it with variables changed in the voice and lip-sync as if it was personally recorded for each viewer. Our AI lip-syncs & voice-sync models templatize specified parts of a video in real time and deliver it to users natively across platforms. Enterprise brands like Samsung, Zomato, vivo, and Swiggy uses Gan.ai to run hyper-personal video campaigns with celebrities, leaders, and other stakeholders, calling out users' names, locations, order items, nearby stores, etc— maximizing CTRs, ROI & impact of campaigns. Whether it’s email, SMS, social media, WhatsApp, pre-roll ads, IPTV, mobile apps, personalized checkout, landing pages, or anything brands require, Gan.ai integrates with it. Before Gan.ai, brands could only make personalized text-based campaigns, inserting the name of the user in an email or SMS, or at best as a text graphic inside a video. With Gan.ai, the name of the user (and other variables) can be spoken out by the actor in the video, leading to much higher engagement, conversions, click-through rates, and brand recall for brands in their marketing campaigns.

Anthropic is an AI research company dedicated to enhancing the safety and reliability of artificial intelligence systems. It focuses on developing large-scale AI models that are interpretable and aligned with human values. The company's research encompasses various areas, including natural language processing, reinforcement learning, and code generation. Anthropic aims to create AI systems that prioritize safety and transparency, ensuring that clients can trust and understand the technology. The initial product, Claude, serves as an AI assistant designed to assist with a variety of tasks, reflecting the company's commitment to building reliable and steerable AI solutions. Through its innovative techniques and tools, Anthropic addresses the opportunities and risks associated with artificial intelligence, fostering a safer technological landscape.

Hugging Face, Inc. is an open-source platform provider specializing in machine learning technologies, founded in 2016 and headquartered in New York City. The company focuses on democratizing machine learning by facilitating collaboration on models, datasets, and applications within a community-driven environment. Hugging Face offers tools and services that allow users to create, discover, and collaborate on machine learning projects. In addition to its community platform, the company provides paid computing and enterprise solutions aimed at accelerating development processes. Through its commitment to open-source practices, Hugging Face supports users in advancing the field of machine learning.

Anthropic is an AI research company dedicated to enhancing the safety and reliability of artificial intelligence systems. It focuses on developing large-scale AI models that are interpretable and aligned with human values. The company's research encompasses various areas, including natural language processing, reinforcement learning, and code generation. Anthropic aims to create AI systems that prioritize safety and transparency, ensuring that clients can trust and understand the technology. The initial product, Claude, serves as an AI assistant designed to assist with a variety of tasks, reflecting the company's commitment to building reliable and steerable AI solutions. Through its innovative techniques and tools, Anthropic addresses the opportunities and risks associated with artificial intelligence, fostering a safer technological landscape.

Cropin, established in 2010, is a leader in the Agtech sector, renowned for developing the first global Intelligent Agriculture Cloud. Its platform empowers stakeholders in the agricultural ecosystem to utilize digitization and artificial intelligence, enhancing efficiency, productivity, and sustainability. Cropin has partnered with over 250 clients and has digitized 16 million acres of farmland, positively impacting the livelihoods of more than 7 million farmers. The company has amassed extensive farming data, covering 488 crops and 10,000 crop varieties across 56 countries, and has established a global 'Ag-intelligence' movement. Additionally, Cropin's farm management software integrates agriculture with information and communication technology, facilitating data-driven practices. This software supports various participants in the agricultural value chain, improving financial and operational outcomes while ensuring food quality and safety for consumers.

Receptor.AI is a TechBio company that leverages generative AI to develop innovative therapeutics. The company has created a multi-platform ecosystem aimed at tackling difficult protein targets through a multimodal approach. Its Peptides Platform utilizes AI for the design and optimization of linear and cyclic peptides, targeting complex protein-protein interactions. The Small Molecule Platform focuses on AI-driven design of small molecules, enhancing their biological activity through multiparametric optimization. Additionally, the Induced Proximity Platform engineers ternary complexes to convert challenging protein interactions into druggable targets. Receptor.AI's comprehensive drug discovery infrastructure supports a seamless preclinical drug discovery pipeline, utilizing advanced data acquisition and AI models. This infrastructure enables tailored workflows for various drug modalities and target classes, with oversight from large language model agents that integrate human expertise and artificial intelligence, ultimately aiming to improve the design and success rate of drug candidates in clinical trials.

Upollo accelerates subscription business growth by predicting who is going to churn, convert, expand and why. They analyze over half a billion dollars in subscription revenue, billions of events for tens of millions of users and provide these internet scale learnings to subscription businesses all over the globe. Customer success teams use Upollo to find and act on churn before it happens and identify expansion opportunities, sales and marketing teams use it to find the right opportunities and how to turn them into additional revenue.

Alter is a platform SDK consisting of a real-time 3D avatar system and motion capture built from scratch for web3 interoperability and the open metaverse. Developers can pipe avatars into their apps, games, and websites. They offer computer vision, 3d technology, web3, machine learning, avatars, rendering engines, blockchain, and NFTs.

Vectara is a provider of a generative AI product platform that enables the integration of advanced AI features into various applications. Its offering includes a serverless Retrieval Augmented Generation (RAG) API platform designed to embed generative AI functionality into chatbots and other products, relying on a robust hybrid-search core. This platform ensures accurate and contextually relevant responses, addressing critical challenges for enterprise adoption such as reducing hallucination, enhancing explainability, enforcing access control, and allowing real-time updates of knowledge. Vectara's technology also emphasizes data security and supports multilingual capabilities, making it suitable for a broad range of applications including conversational AI, question-answering, and semantic search. Through its innovative platform, Vectara helps businesses create effective AI-driven experiences while maintaining compliance with intellectual property and bias considerations.

With the mission to provide the most effective education for all, QANDA(Mathpresso) operates the world’s leading learning platform, QANDA, an AI-based learning app that allows students of all levels to receive instant answers and customized learning sources. Recognized for its technological advances, QANDA(Mathpresso) was selected as GSV Edtech 150, national representative of Google AI for Social Good APAC event in 2018, and guest speaker at AWS Public Sector Summit ASEAN in 2019. Since 2015, QANDA(Mathpresso) has raised over $105 million in total from investors including SoftBank Ventures Asia, Legend Capital, Mirae Asset Investment, GGV, and Goodwater Capital. Headquartered in Seoul, QANDA(Mathpresso) has offices in Tokyo, Hanoi, Jakarta, and Bangkok.

At Predictiva, we are determined to solve the most difficult optimisation dilemmas in the financial markets, to deliver predictable profits while minimising risks. Using state-of-the-art Deep Reinforcement Learning algorithms, we use AI to redefine Financial Intelligence through autonomous trading.

Freyda is a technology company that utilizes artificial intelligence to streamline data extraction from documents, specifically targeting the financial services sector. By automating the process of manual data entry, Freyda's platform enhances productivity, allowing users to manage data significantly faster. The company's machine learning algorithms are designed to recognize, extract, and normalize essential information, making it easier for clients to analyze data directly from documents without the need for manual intervention. This innovation not only simplifies workflows but also supports informed decision-making in investment strategies.

Socratic, Inc. is an education technology company based in New York that develops a homework application designed to assist students across various subjects, including science, math, humanities, history, English, and economics. The app allows users to take photos of homework questions and employs artificial intelligence to provide answers along with detailed explanations, curated web videos, and helpful resources. Aimed primarily at high school students, Socratic enhances the learning experience by offering visual aids such as graphs and other educational materials. The application is free to use and is available on both iPhone and Android platforms. Socratic, Inc. was formerly known as Vespr, Inc. and adopted its current name in May 2015. The company was incorporated in 2013 and operates as a subsidiary of Alphabet Inc.

Agolo, Inc. is a New York-based company that specializes in developing an artificial intelligence platform designed to create real-time summaries from unstructured information. Utilizing machine learning and natural language processing, Agolo's technology transforms messy data into a clean, structured format, enabling various enterprise applications such as business intelligence dashboards and support site augmentation. The platform helps organizations enhance their product quality, reduce support costs, and quickly identify emerging issues by providing clear insights into customer experiences. Established in 2012 and formerly known as Ninoh, Inc., Agolo serves a diverse range of industries, empowering professionals to efficiently analyze large volumes of data and make informed decisions based on comprehensive summaries.

ABEJA, Inc. is a Japanese company that specializes in artificial intelligence software tailored for retailers and manufacturers. Founded in 2012 and based in Minato-Ku, the company offers a cloud-based platform that integrates advanced technologies such as IoT, big data, and deep learning. ABEJA's services encompass data collection, analysis, automation, simulation, and visualization, enabling sophisticated analyses and optimized solutions across various industries, particularly in retail, manufacturing, and infrastructure. The platform supports the entire machine learning and deep learning pipeline, facilitating development, deployment, and ongoing operations to drive digital transformation for its clients.

UjuziKilimo is a data driven agronomy services company that uses innovative data acquisition technologies and comprehensive database to collect and analyze farm data to help farmers and agriculture players make better decisions and build targeted services. UjuziKilimo utilizes data science and machine learning to provide actionable agronomic insights to farmers; business intelligence & predictive analytics to Agriculture service providers & businesses through a fully integrated data platform, powered by millions of data sets.

In early 2020 Edwin merged with Buddy.ai. The resulting company kept the name “Buddy.ai”. Headquartered in San Francisco, it focuses on building a virtual English conversation partner for over 500 million children around the globe who are trying to learn English, but can't reach fluency because they lack genuine practice speaking the language. The company doubled down on its mobile app Buddy, the voice-based English tutor for kids, organically combining solutions developed by Buddy.ai and Edwin. Edwin built an AI-powered service for learning English as a foreign language. It combines the latest adaptive learning and Natural Language Understanding technology with pedagogical content as well as on-demand human instructors to offer its students affordable, personalized, 1:1 learning. Based in San Francisco, the company was funded by General Catalyst, Y Combinator, Google Assistant Investments Program, and several other investors. Over 800 thousand students have improved their English with Edwin.

Synetiq specializes in developing a neuromarketing platform that assists brands and media producers in creating effective video advertisements. By leveraging machine learning and biometric data, the platform analyzes the emotional responses of target audiences, offering actionable insights and recommendations to enhance ad performance. This innovative approach enables brands to foster engagement, drive business growth, and strengthen their market presence. Synetiq counts prominent organizations such as BBC, HBO, and Heineken among its clients, reflecting its impact across various industries including media, retail, and finance.

Halli Labs is an Indian company specializing in the development of deep learning and machine learning systems. It focuses on applying contemporary machine learning techniques to address traditional problems across various domains. By leveraging artificial intelligence services, Halli Labs aims to innovate and enhance existing solutions, contributing to advancements in technology and data-driven decision-making.

Kaggle Inc. is a prominent platform that facilitates data prediction competitions, allowing organizations to submit their datasets for analysis by a global community of data scientists. Established in 2010 and headquartered in San Francisco, Kaggle serves a diverse range of sectors, including pharmaceuticals, financial services, energy, information technology, and retail. The platform not only hosts competitions but also provides access to datasets, models, and coding resources, enabling users to collaboratively execute and refine their data science projects. Additionally, Kaggle Prospect, one of its offerings, assists companies and government entities in transforming raw data into actionable insights. As a subsidiary of Google, Kaggle continues to foster innovation in data science, positioning itself as a vital resource for professionals seeking to address complex challenges across various industries.

Dialogflow is a conversational user experience platform that facilitates natural language interactions for various devices, applications, and services. It offers developers tools for speech recognition, natural language processing, and conversation management, allowing businesses to enhance customer satisfaction and streamline processes. By utilizing pre-built knowledge packages derived from extensive user queries, Dialogflow enables agents to comprehend a wide range of requests immediately, eliminating the need for extensive coding. This technology supports effective human-computer interaction, helping users communicate seamlessly with mobile devices and tablets.

Kifi operates an online platform designed to facilitate collaboration among individuals and teams through the sharing of knowledge on the web. The platform enables users to save and organize valuable content they encounter online, alleviating the cognitive burden of remembering what to keep and where to find it. By integrating with external sources like Slack and Twitter, Kifi enhances the user experience by mining collective knowledge and providing contextual insights during browsing and searches. This functionality not only surfaces previously unnoticed information but also reveals opportunities for meaningful connections with others. Kifi aims to foster productive interactions and spark conversations through an immersive messaging and annotation experience, ultimately helping teams align and collaborate effectively. The company is supported by a team of skilled software engineers with backgrounds from leading tech firms, focused on addressing challenges in machine learning, artificial intelligence, and large-scale data analysis. Kifi is committed to delivering consumer-centric solutions that unlock the potential of shared knowledge.

Granata's software platform provides real-time optimization and scenario analysis capabilities for large-scale, data-driven marketing problems and group/organizational decision-making. Companies use the technology to amplify the value of machine learning and analytics by distilling the insights produced by multiple analyses and focusing on the factors relevant to global enterprise objectives.

Vision Factory specializes in visual recognition systems and deep learning, focusing on the application of artificial intelligence techniques to improve the accuracy and speed of object and text recognition. The company develops advanced solutions for vision-based computer systems, catering to various industries that require reliable and efficient recognition technologies. In addition to its core offerings, Vision Factory also provides mobile technology services, enhancing the usability and accessibility of its systems across different platforms.

Emu is texting with a built-in assistant. Schedule lunches, share your location, and set reminders — as easily as sending a photo. It’s texting, for grown-ups. Created by veterans of Siri, Apple, Google, TechCrunch, and Yahoo! Messenger, Emu is a messaging product for iPhone that uses artificial intelligence — machine learning and natural language processing — to understand messages, then magically adds relevant information to help you schedule a lunch, reserve a table, buy movie tickets, or share your location in real time. Emu (http://emu.is) was founded in 2012 by Gummi Hafsteinsson (formerly VP Product Siri, previously at Apple and Google), Dave Feldman (previously with AOL/TechCrunch and Yahoo!), and an experienced team of mobile and machine-learning engineers. The company has received seed funding of $1.5M to date from Kleiner Perkins, TriplePoint Capital, Menlo Ventures, DFJ, and additional angel investors. See our Founder Bios for more information on the founding team.

DeepMind Technologies is an artificial intelligence company that focuses on developing general-purpose algorithms applicable across various domains, including simulations, e-commerce, and gaming. The company leverages artificial intelligence, machine learning, and insights from systems neuroscience to create advanced learning algorithms. These innovations aim to facilitate scientific discoveries and enhance capabilities in diverse fields. Through its research and development efforts, DeepMind is committed to pushing the boundaries of AI technology and its potential applications.

Industrial Pereception is home to some of the world’s foremost authorities and pioneers in machine vision and artificial intelligence.

Behavio, an MIT-Media Labs spin-off, specializes in developing software and services that enable mobile devices to sense, understand, and respond to human behavior and context. This capability allows developers to create smart, context-aware applications and services. The company is also known for its open-source sensing platform, Funf.org, which is designed for Android devices and has received several accolades, including recognition at the SXSW Accelerator competition and winning the 2012 John S. and James L. Knight Foundation’s News Challenge on Networks. Through its innovative approach, Behavio aims to enhance the functionality of mobile technology by integrating behavioral data into app development.

DNNresearch is a startup founded by professor Geoffrey Hinton and his graduate students, Alex Krizhevsky and Ilya Sutskever. The company specializes in the design and development of artificial intelligence networks, focusing on applications in voice and image recognition. Through its innovative research and technology, DNNresearch aims to advance the capabilities of AI systems, contributing to the growing field of machine learning and deep learning.

The Clever Sense Platform makes sense of the real world by harvesting and sifting through the vast amount of information available on the Web. The platform is designed to connect the online world with the offline world: delivering the right information to the users in the right context (right time, right place, right intent). At the heart of the Clever Sense Platform is the Serendipity Engine: a personalized context-aware right-time discovery engine. The Serendipity Engine adds a layer of real-time machine learning algorithms and intelligent agent architecture on top of the Clever Sense Interest Graph. It goes beyond traditional recommendation engines by incorporating user's anonymous interest profile and current context (time, location, intent, and social context) into curation of its recommendations. The Alfred mobile app is a personal concierge who provides high-quality recommendations from the start. Coming soon for iOS devices, Alfred recommends places that will truly shine for users, based on what he learns about their personal tastes and his extensive knowledge from the general web. Alfred, who has been called "Pandora for the real world", provides increasingly fine-tuned suggestions, personalized to the location, time, and person. Clever Sense was founded by two Stanford Engineering graduates in 2008. Our technical advisory includes Prof. Jeff Ullman (Sergey Brin's former advisor at Stanford) and Sep Kamvar (creator of Google's Personalized Search).

Teracent specializes in data-driven advertising optimization, providing a platform that enables advertisers and agencies to enhance their display ad campaigns by leveraging detailed audience data. The company's Intelligent Display Advertising technology creates highly customized display ads tailored to individual consumers and specific websites. This self-learning platform continuously improves campaign performance by utilizing aggregated data to deliver relevant advertising at various stages of the sales funnel. Teracent's solutions are employed not only by direct clients but also by major ad networks and data providers, establishing it as a leader in the advertising technology sector. The company was acquired by Google in December 2009, contributing to a broader suite of digital services and solutions.