Developer of artificial intelligence-driven robotics technology designed to provide warehouse automation. The company develops bin-picking autonomous mobile robots that are capable of automating warehouse inventory functions including order fulfillment, inventory replenishment, cycle audit, and consolidation among others, enabling online commerce players to satisfy the needs and demands of their consumers easily.
Zeemo.ai is a firm that offers automatic, AI-driven video subtitling services in 15 languages, including Spanish, Korean, and Chinese.
Rosetta, Inc. operates as a SaaS platform that assists e-commerce sites in analyzing consumer preferences and enhancing customer retention. Founded in 2018 and based in Taipei, Taiwan, the company leverages deep learning technology to uncover individual consumer behaviors and predict future sales. By focusing on the fashion industry, including apparel, cosmetics, and accessories, Rosetta.ai develops specialized algorithms to cater to the distinct shopping preferences within this vertical. The platform provides personalized recommendations and tools designed to trigger consumer engagement, thereby helping e-commerce businesses improve conversion rates and increase order value, both online and offline.
Emys develops customized social robots aimed at teaching foreign languages to children aged 3 to 7 through engaging interactions. These robots are designed to appeal to multiple senses and utilize familiar language, drawing from children's favorite cartoons, toys, and everyday items. Capable of movement, speech, facial recognition, and emotional expression, the robots foster a sense of bonding and companionship, enhancing the language learning experience. Emys combines the expertise of engineers, designers, and educators to integrate robotic technology into children's daily lives. The company has benefited from participation in a prominent hardware startup accelerator and has established operations in Shenzhen, China, to leverage local manufacturing capabilities and technical mentorship. This background supports Emys's mission to create an effective and affordable language learning tool for young children.
Avalo is a biotechnology company focused on enhancing crop resilience through innovative gene discovery and control techniques. By employing interpretable machine learning, Avalo accelerates the identification of genes in plants, thereby facilitating the development of improved agricultural crops. The company's artificial intelligence-based platform is designed to uncover the biological origins of traits essential for future agriculture, such as drought tolerance, water-use efficiency, and nutrient density. This advancement in gene discovery not only aids researchers in validating and predicting crop quality but also addresses the challenges posed by a changing climate, contributing to a healthier and more sustainable agricultural landscape.
Halla is an artificial intelligence company that specializes in developing a predictive platform for online ordering, focusing on personalized recommendations for grocery shoppers. By leveraging natural language processing and machine learning, Halla's platform analyzes food preferences and consumer behavior, enabling retailers to tailor shopping experiences in real-time. The company's enterprise APIs empower grocers to enhance customer engagement, drive growth in basket size, and improve coupon redemption rates. Halla's unique approach combines insights from food science, data analytics, and operational research, allowing it to create specialized machine-learning models that accurately predict individual preferences across various shopping channels.
Robotic Materials provides solutions to improve efficiency in manufacturing and e-commerce by leveraging robotic AI. The company develops general purpose mobile manipulators that combine the power of deep learning with semantic reasoning to perform mobile bin picking, kitting, and assembly.
Dataforge.ai specializes in data annotation services for artificial intelligence and machine learning applications. The company offers a platform that facilitates the training of AI models through precise image annotation, ensuring high accuracy while maintaining low costs. By leveraging machine learning technology, Dataforge.ai assists AI teams in addressing various data challenges, including storage, collection, cleaning, and labeling of data. This comprehensive approach enables clients to expedite their processes and enhance operational efficiency.
Dataforge.ai specializes in data annotation services for artificial intelligence and machine learning applications. The company offers a platform that facilitates the training of AI models through precise image annotation, ensuring high accuracy while maintaining low costs. By leveraging machine learning technology, Dataforge.ai assists AI teams in addressing various data challenges, including storage, collection, cleaning, and labeling of data. This comprehensive approach enables clients to expedite their processes and enhance operational efficiency.
Mendel.ai develops artificial intelligence-based solutions aimed at enhancing clinical oncology research and improving patient care. Founded in 2005 and headquartered in San Jose, California, the company offers a range of software solutions that address various challenges in the clinical trial process. Its products include Read, which provides instant data abstraction; Retina, designed to minimize data loss during optical character recognition; Redact, which addresses privacy concerns in patient record sharing; Research, a clinical search engine; Recruit, facilitating patient prescreening and enrollment; and Enrich, which offers real-time access to real-world data from leading oncology clinics. By transforming unstructured electronic medical records and clinical literature into analytics-ready data, Mendel.ai aims to streamline global oncology research and automate clinical trials.
Halla is an artificial intelligence company that specializes in developing a predictive platform for online ordering, focusing on personalized recommendations for grocery shoppers. By leveraging natural language processing and machine learning, Halla's platform analyzes food preferences and consumer behavior, enabling retailers to tailor shopping experiences in real-time. The company's enterprise APIs empower grocers to enhance customer engagement, drive growth in basket size, and improve coupon redemption rates. Halla's unique approach combines insights from food science, data analytics, and operational research, allowing it to create specialized machine-learning models that accurately predict individual preferences across various shopping channels.
Our AI-powered business intelligence model, provides analysis, predictions, and optimizations that drive our fully integrated e-commerce and digital marketing multiplatform operations for global brands.
Avalo is a biotechnology company focused on enhancing crop resilience through innovative gene discovery and control techniques. By employing interpretable machine learning, Avalo accelerates the identification of genes in plants, thereby facilitating the development of improved agricultural crops. The company's artificial intelligence-based platform is designed to uncover the biological origins of traits essential for future agriculture, such as drought tolerance, water-use efficiency, and nutrient density. This advancement in gene discovery not only aids researchers in validating and predicting crop quality but also addresses the challenges posed by a changing climate, contributing to a healthier and more sustainable agricultural landscape.
Avalo is a biotechnology company focused on enhancing crop resilience through innovative gene discovery and control techniques. By employing interpretable machine learning, Avalo accelerates the identification of genes in plants, thereby facilitating the development of improved agricultural crops. The company's artificial intelligence-based platform is designed to uncover the biological origins of traits essential for future agriculture, such as drought tolerance, water-use efficiency, and nutrient density. This advancement in gene discovery not only aids researchers in validating and predicting crop quality but also addresses the challenges posed by a changing climate, contributing to a healthier and more sustainable agricultural landscape.
Elsa is a mobile application focused on English language pronunciation training and accent reduction. The platform employs artificial intelligence and speech recognition technology to deliver precise phoneme-level feedback to users, assisting them in improving their English pronunciation. By providing real-time phonetic instructions, Elsa enables language learners worldwide to identify and correct their pronunciation errors, ultimately fostering greater fluency and confidence in their spoken English.
Emys develops customized social robots aimed at teaching foreign languages to children aged 3 to 7 through engaging interactions. These robots are designed to appeal to multiple senses and utilize familiar language, drawing from children's favorite cartoons, toys, and everyday items. Capable of movement, speech, facial recognition, and emotional expression, the robots foster a sense of bonding and companionship, enhancing the language learning experience. Emys combines the expertise of engineers, designers, and educators to integrate robotic technology into children's daily lives. The company has benefited from participation in a prominent hardware startup accelerator and has established operations in Shenzhen, China, to leverage local manufacturing capabilities and technical mentorship. This background supports Emys's mission to create an effective and affordable language learning tool for young children.
Halla is an artificial intelligence company that specializes in developing a predictive platform for online ordering, focusing on personalized recommendations for grocery shoppers. By leveraging natural language processing and machine learning, Halla's platform analyzes food preferences and consumer behavior, enabling retailers to tailor shopping experiences in real-time. The company's enterprise APIs empower grocers to enhance customer engagement, drive growth in basket size, and improve coupon redemption rates. Halla's unique approach combines insights from food science, data analytics, and operational research, allowing it to create specialized machine-learning models that accurately predict individual preferences across various shopping channels.
Mendel.ai develops artificial intelligence-based solutions aimed at enhancing clinical oncology research and improving patient care. Founded in 2005 and headquartered in San Jose, California, the company offers a range of software solutions that address various challenges in the clinical trial process. Its products include Read, which provides instant data abstraction; Retina, designed to minimize data loss during optical character recognition; Redact, which addresses privacy concerns in patient record sharing; Research, a clinical search engine; Recruit, facilitating patient prescreening and enrollment; and Enrich, which offers real-time access to real-world data from leading oncology clinics. By transforming unstructured electronic medical records and clinical literature into analytics-ready data, Mendel.ai aims to streamline global oncology research and automate clinical trials.
Developer of artificial intelligence-driven robotics technology designed to provide warehouse automation. The company develops bin-picking autonomous mobile robots that are capable of automating warehouse inventory functions including order fulfillment, inventory replenishment, cycle audit, and consolidation among others, enabling online commerce players to satisfy the needs and demands of their consumers easily.
Rosetta, Inc. operates as a SaaS platform that assists e-commerce sites in analyzing consumer preferences and enhancing customer retention. Founded in 2018 and based in Taipei, Taiwan, the company leverages deep learning technology to uncover individual consumer behaviors and predict future sales. By focusing on the fashion industry, including apparel, cosmetics, and accessories, Rosetta.ai develops specialized algorithms to cater to the distinct shopping preferences within this vertical. The platform provides personalized recommendations and tools designed to trigger consumer engagement, thereby helping e-commerce businesses improve conversion rates and increase order value, both online and offline.
Halla is an artificial intelligence company that specializes in developing a predictive platform for online ordering, focusing on personalized recommendations for grocery shoppers. By leveraging natural language processing and machine learning, Halla's platform analyzes food preferences and consumer behavior, enabling retailers to tailor shopping experiences in real-time. The company's enterprise APIs empower grocers to enhance customer engagement, drive growth in basket size, and improve coupon redemption rates. Halla's unique approach combines insights from food science, data analytics, and operational research, allowing it to create specialized machine-learning models that accurately predict individual preferences across various shopping channels.
Emys develops customized social robots aimed at teaching foreign languages to children aged 3 to 7 through engaging interactions. These robots are designed to appeal to multiple senses and utilize familiar language, drawing from children's favorite cartoons, toys, and everyday items. Capable of movement, speech, facial recognition, and emotional expression, the robots foster a sense of bonding and companionship, enhancing the language learning experience. Emys combines the expertise of engineers, designers, and educators to integrate robotic technology into children's daily lives. The company has benefited from participation in a prominent hardware startup accelerator and has established operations in Shenzhen, China, to leverage local manufacturing capabilities and technical mentorship. This background supports Emys's mission to create an effective and affordable language learning tool for young children.
Machine Medicine Limited develops a health monitoring system that uses computer vision and artificial intelligence in order to extract health metrics. The system tracks activities, walking patterns, detects falls and disease signs, and alert families when an intervention is needed. The company was founded in 2014 and is headquartered in London, United Kingdom.
Ester is an AI-platform that allows retailers to deliver hyper-personalized experiences. The platform is used by retailers and producers to create and market unique and differentiating gourmet foods. The company fuels customer-specific recommendations that allow retailers to provide personalized shopping experiences. With its platform, retailers can help customers explore the beer and wine aisle with confidence by pointing out products that match their taste preferences. Ester was founded in 2018 and is headquartered in Leuven, Belgium.
L2P Limited is an international eSports EdTech company based in Russia that specializes in developing an educational platform for both professional and non-professional gamers. The company focuses on enhancing players' skills through a personalized learning experience that incorporates artificial intelligence and machine learning technologies. Its platform offers individual post-match feedback, tactical insights, video lessons from professional players, and in-game tasks to facilitate player improvement. L2P Limited has attracted over 1.5 million subscribers across its products for games like Dota 2 and League of Legends and has analyzed more than 60 million matches, producing over 2,000 instructional videos. The company aims to expand its offerings to cover additional games and enter new language markets in the near future.
L2P Limited is an international eSports EdTech company based in Russia that specializes in developing an educational platform for both professional and non-professional gamers. The company focuses on enhancing players' skills through a personalized learning experience that incorporates artificial intelligence and machine learning technologies. Its platform offers individual post-match feedback, tactical insights, video lessons from professional players, and in-game tasks to facilitate player improvement. L2P Limited has attracted over 1.5 million subscribers across its products for games like Dota 2 and League of Legends and has analyzed more than 60 million matches, producing over 2,000 instructional videos. The company aims to expand its offerings to cover additional games and enter new language markets in the near future.
Our AI-powered business intelligence model, provides analysis, predictions, and optimizations that drive our fully integrated e-commerce and digital marketing multiplatform operations for global brands.
Our AI-powered business intelligence model, provides analysis, predictions, and optimizations that drive our fully integrated e-commerce and digital marketing multiplatform operations for global brands.
Symphony have developed an entirely new Solution for Predictive Maintenance using the Internet of Things with Machine Learning. We have entirely re-imagined how maintenance is conducted, focusing on management. Existing preventative maintenance solutions rely on providing raw data for hard to find and expensive technicians to manually analyze. We remove that whole layer of complexity, focusing on delivering simple, actionable alerts to potential machinery problems. For a relatively small investment, facilities can start to engage with our solution which is an investment, not a cost, since there will be a significant return in reduced unscheduled downtime as well as a reduction in un-necessary planned maintenance. Once the benefits have been demonstrated in a facility, scaling to include as many machines as necessary is simply a case of installing additional sensor hardware and the associated SaaS license. A low incremental cost investment process that will require little direct additional input from our sales and technical support teams, facilitating the possibility of rapid to exponential growth. Managers of facilities for the first time can track the productivity of their machines easily with clear notifications and solutions. Substitutes required a deep understanding of waveforms and mathematics. We do not train humans, we train AI algorithms with even denser data, so you do not have to, allowing managers to track a machine's performance against itself and others over different periods, from days to years. Timely providing the right management information to keep all the wheels of industry turning.
Rosetta, Inc. operates as a SaaS platform that assists e-commerce sites in analyzing consumer preferences and enhancing customer retention. Founded in 2018 and based in Taipei, Taiwan, the company leverages deep learning technology to uncover individual consumer behaviors and predict future sales. By focusing on the fashion industry, including apparel, cosmetics, and accessories, Rosetta.ai develops specialized algorithms to cater to the distinct shopping preferences within this vertical. The platform provides personalized recommendations and tools designed to trigger consumer engagement, thereby helping e-commerce businesses improve conversion rates and increase order value, both online and offline.
AiSight GmbH is a Berlin-based company that specializes in developing a comprehensive hardware and software solution designed to predict and prevent machine malfunctions. Founded in 2018, AiSight employs self-learning artificial intelligence algorithms to monitor the real-time state of machinery, enabling dynamic regulation of machine parameters based on sensor data. This plug-and-play technology allows users to enhance productivity while simultaneously reducing operational and maintenance costs. By leveraging advanced machine learning techniques, AiSight aims to provide reliable insights into machine performance, helping clients maintain optimal operational efficiency.
Halla is an artificial intelligence company that specializes in developing a predictive platform for online ordering, focusing on personalized recommendations for grocery shoppers. By leveraging natural language processing and machine learning, Halla's platform analyzes food preferences and consumer behavior, enabling retailers to tailor shopping experiences in real-time. The company's enterprise APIs empower grocers to enhance customer engagement, drive growth in basket size, and improve coupon redemption rates. Halla's unique approach combines insights from food science, data analytics, and operational research, allowing it to create specialized machine-learning models that accurately predict individual preferences across various shopping channels.
Machine Medicine Limited develops a health monitoring system that uses computer vision and artificial intelligence in order to extract health metrics. The system tracks activities, walking patterns, detects falls and disease signs, and alert families when an intervention is needed. The company was founded in 2014 and is headquartered in London, United Kingdom.
Elsa is a mobile application focused on English language pronunciation training and accent reduction. The platform employs artificial intelligence and speech recognition technology to deliver precise phoneme-level feedback to users, assisting them in improving their English pronunciation. By providing real-time phonetic instructions, Elsa enables language learners worldwide to identify and correct their pronunciation errors, ultimately fostering greater fluency and confidence in their spoken English.
Machine Medicine Limited develops a health monitoring system that uses computer vision and artificial intelligence in order to extract health metrics. The system tracks activities, walking patterns, detects falls and disease signs, and alert families when an intervention is needed. The company was founded in 2014 and is headquartered in London, United Kingdom.
Miro AI specializes in sports analytics, focusing on identifying athletes and extracting insights from event photos and videos. Since its inception in 2017, Miro has developed its RunnerTag product, which utilizes deep learning and computer vision to provide precise athlete identification. This technology has been employed in running events across Asia, Europe, and North America, analyzing over 15 million bodies to enhance its capabilities. Miro's platform not only identifies athletes but also generates unique insights regarding brand preferences, performance, and injury analysis. By leveraging a scalable cloud infrastructure and advanced analytical models, Miro delivers meaningful data to brands and retailers, facilitating improved advertising and customer relationship management strategies.
Emys develops customized social robots aimed at teaching foreign languages to children aged 3 to 7 through engaging interactions. These robots are designed to appeal to multiple senses and utilize familiar language, drawing from children's favorite cartoons, toys, and everyday items. Capable of movement, speech, facial recognition, and emotional expression, the robots foster a sense of bonding and companionship, enhancing the language learning experience. Emys combines the expertise of engineers, designers, and educators to integrate robotic technology into children's daily lives. The company has benefited from participation in a prominent hardware startup accelerator and has established operations in Shenzhen, China, to leverage local manufacturing capabilities and technical mentorship. This background supports Emys's mission to create an effective and affordable language learning tool for young children.
AiSight GmbH is a Berlin-based company that specializes in developing a comprehensive hardware and software solution designed to predict and prevent machine malfunctions. Founded in 2018, AiSight employs self-learning artificial intelligence algorithms to monitor the real-time state of machinery, enabling dynamic regulation of machine parameters based on sensor data. This plug-and-play technology allows users to enhance productivity while simultaneously reducing operational and maintenance costs. By leveraging advanced machine learning techniques, AiSight aims to provide reliable insights into machine performance, helping clients maintain optimal operational efficiency.
Machine Medicine Limited develops a health monitoring system that uses computer vision and artificial intelligence in order to extract health metrics. The system tracks activities, walking patterns, detects falls and disease signs, and alert families when an intervention is needed. The company was founded in 2014 and is headquartered in London, United Kingdom.
Elsa is a mobile application focused on English language pronunciation training and accent reduction. The platform employs artificial intelligence and speech recognition technology to deliver precise phoneme-level feedback to users, assisting them in improving their English pronunciation. By providing real-time phonetic instructions, Elsa enables language learners worldwide to identify and correct their pronunciation errors, ultimately fostering greater fluency and confidence in their spoken English.
Hi-in is an AI-powered platform that helps Chinese students studying abroad find the job they want at leading companies back in China . The company leverages machine learning to provide a personalized service at scale.
Mendel.ai develops artificial intelligence-based solutions aimed at enhancing clinical oncology research and improving patient care. Founded in 2005 and headquartered in San Jose, California, the company offers a range of software solutions that address various challenges in the clinical trial process. Its products include Read, which provides instant data abstraction; Retina, designed to minimize data loss during optical character recognition; Redact, which addresses privacy concerns in patient record sharing; Research, a clinical search engine; Recruit, facilitating patient prescreening and enrollment; and Enrich, which offers real-time access to real-world data from leading oncology clinics. By transforming unstructured electronic medical records and clinical literature into analytics-ready data, Mendel.ai aims to streamline global oncology research and automate clinical trials.
Unsupervised AI is a company that specializes in the development of intelligent robotic devices aimed at transforming e-commerce deliveries and logistics activities. Founded in 2016 and headquartered in Gif-sur-Yvette, France, with an additional office in Shenzhen, China, the company has created Aida, a robotic delivery system that autonomously navigates both indoor and outdoor environments. These robots are designed to enhance last-mile delivery efficiency, thereby increasing productivity and flexibility in logistics operations. In addition to robotic delivery solutions, Unsupervised AI also offers tools for fleet management and mission scheduling, utilizing machine learning for simulations and remote diagnostics to optimize delivery processes.
Elsa is a mobile application focused on English language pronunciation training and accent reduction. The platform employs artificial intelligence and speech recognition technology to deliver precise phoneme-level feedback to users, assisting them in improving their English pronunciation. By providing real-time phonetic instructions, Elsa enables language learners worldwide to identify and correct their pronunciation errors, ultimately fostering greater fluency and confidence in their spoken English.
Unsupervised AI is a company that specializes in the development of intelligent robotic devices aimed at transforming e-commerce deliveries and logistics activities. Founded in 2016 and headquartered in Gif-sur-Yvette, France, with an additional office in Shenzhen, China, the company has created Aida, a robotic delivery system that autonomously navigates both indoor and outdoor environments. These robots are designed to enhance last-mile delivery efficiency, thereby increasing productivity and flexibility in logistics operations. In addition to robotic delivery solutions, Unsupervised AI also offers tools for fleet management and mission scheduling, utilizing machine learning for simulations and remote diagnostics to optimize delivery processes.
Elsa is a mobile application focused on English language pronunciation training and accent reduction. The platform employs artificial intelligence and speech recognition technology to deliver precise phoneme-level feedback to users, assisting them in improving their English pronunciation. By providing real-time phonetic instructions, Elsa enables language learners worldwide to identify and correct their pronunciation errors, ultimately fostering greater fluency and confidence in their spoken English.
Emys develops customized social robots aimed at teaching foreign languages to children aged 3 to 7 through engaging interactions. These robots are designed to appeal to multiple senses and utilize familiar language, drawing from children's favorite cartoons, toys, and everyday items. Capable of movement, speech, facial recognition, and emotional expression, the robots foster a sense of bonding and companionship, enhancing the language learning experience. Emys combines the expertise of engineers, designers, and educators to integrate robotic technology into children's daily lives. The company has benefited from participation in a prominent hardware startup accelerator and has established operations in Shenzhen, China, to leverage local manufacturing capabilities and technical mentorship. This background supports Emys's mission to create an effective and affordable language learning tool for young children.
Mendel.ai develops artificial intelligence-based solutions aimed at enhancing clinical oncology research and improving patient care. Founded in 2005 and headquartered in San Jose, California, the company offers a range of software solutions that address various challenges in the clinical trial process. Its products include Read, which provides instant data abstraction; Retina, designed to minimize data loss during optical character recognition; Redact, which addresses privacy concerns in patient record sharing; Research, a clinical search engine; Recruit, facilitating patient prescreening and enrollment; and Enrich, which offers real-time access to real-world data from leading oncology clinics. By transforming unstructured electronic medical records and clinical literature into analytics-ready data, Mendel.ai aims to streamline global oncology research and automate clinical trials.
Mendel.ai develops artificial intelligence-based solutions aimed at enhancing clinical oncology research and improving patient care. Founded in 2005 and headquartered in San Jose, California, the company offers a range of software solutions that address various challenges in the clinical trial process. Its products include Read, which provides instant data abstraction; Retina, designed to minimize data loss during optical character recognition; Redact, which addresses privacy concerns in patient record sharing; Research, a clinical search engine; Recruit, facilitating patient prescreening and enrollment; and Enrich, which offers real-time access to real-world data from leading oncology clinics. By transforming unstructured electronic medical records and clinical literature into analytics-ready data, Mendel.ai aims to streamline global oncology research and automate clinical trials.
Emys develops customized social robots aimed at teaching foreign languages to children aged 3 to 7 through engaging interactions. These robots are designed to appeal to multiple senses and utilize familiar language, drawing from children's favorite cartoons, toys, and everyday items. Capable of movement, speech, facial recognition, and emotional expression, the robots foster a sense of bonding and companionship, enhancing the language learning experience. Emys combines the expertise of engineers, designers, and educators to integrate robotic technology into children's daily lives. The company has benefited from participation in a prominent hardware startup accelerator and has established operations in Shenzhen, China, to leverage local manufacturing capabilities and technical mentorship. This background supports Emys's mission to create an effective and affordable language learning tool for young children.
Elsa is a mobile application focused on English language pronunciation training and accent reduction. The platform employs artificial intelligence and speech recognition technology to deliver precise phoneme-level feedback to users, assisting them in improving their English pronunciation. By providing real-time phonetic instructions, Elsa enables language learners worldwide to identify and correct their pronunciation errors, ultimately fostering greater fluency and confidence in their spoken English.
Rikai Labs, Inc. operates a chatbot platform that merges Artificial Intelligence and Natural Language Processing with human support, primarily targeting English language learners in China. Founded in 2015 and based in Shanghai, the company’s flagship product, TeacherBot, engages WeChat users by providing interactive English lessons to approximately 400 million potential learners. The platform utilizes a combination of chatbots and live teachers, where TeacherBot manages most of the instruction while a human teacher monitors progress and provides assistance when needed. This approach not only aids in teaching but also enhances the chatbot's capabilities over time, enabling it to respond more effectively to student queries. Rikai Labs also offers chatbot solutions for various clients, including Visa and Budweiser, across different sectors such as travel and e-commerce. The company operates on a subscription-based model, which has contributed to its profitability.
Rikai Labs, Inc. operates a chatbot platform that merges Artificial Intelligence and Natural Language Processing with human support, primarily targeting English language learners in China. Founded in 2015 and based in Shanghai, the company’s flagship product, TeacherBot, engages WeChat users by providing interactive English lessons to approximately 400 million potential learners. The platform utilizes a combination of chatbots and live teachers, where TeacherBot manages most of the instruction while a human teacher monitors progress and provides assistance when needed. This approach not only aids in teaching but also enhances the chatbot's capabilities over time, enabling it to respond more effectively to student queries. Rikai Labs also offers chatbot solutions for various clients, including Visa and Budweiser, across different sectors such as travel and e-commerce. The company operates on a subscription-based model, which has contributed to its profitability.
Learnlode, headquartered in Ireland, is developing an advanced knowledge management and online learning platform aimed at enhancing knowledge retention and sharing within businesses. The platform is designed to help organizations capture and optimize the valuable knowledge held by their employees, addressing the challenges and costs associated with training and recruitment. By utilizing proprietary technology and algorithms, Learnlode enables contact centers and other industries to streamline access to relevant information, ensuring that employees can efficiently find and utilize the knowledge necessary for their roles. This integrated approach not only improves operational efficiency but also helps organizations maximize the value of their knowledge assets.
WorkCompass is an artificial intelligence platform that specializes in performance management and appraisal. The company offers an online software solution designed to assist organizations in managing their talent through continuous performance check-ins. By utilizing artificial intelligence and machine learning, WorkCompass enhances the performance appraisal process, enabling companies to set employee goals, track progress, and provide timely feedback. This approach not only aims to improve revenue growth and customer satisfaction but also seeks to foster a more effective performance management system within organizations.