TandemLaunch

TandemLaunch is an accelerator based in Montreal, Canada, founded in 2010. It specializes in scouting, accelerating, and commercializing early-stage technologies from leading universities, collaborating closely with major consumer electronics brands. The organization works with innovative entrepreneurs and technologists to transform initial concepts into high-quality startup ventures. Its incubation program offers mentorship, engineering and business resources, and seed financing of up to $800,000. Graduates of the program can access additional funding through TandemLaunch Ventures, which focuses on investing in early-stage technology companies, particularly within the information technology sector, and aims to support around 20 companies.

Emilie Boutros

Managing Partner

Stefan Orzechowski

CFO

Past deals in Speech Recognition

Revai

Pre Seed Round in 2021
Developer of a cloud-based learning software application designed to enhance human cognition. The company's device is used to accelerate verbal learning and language acquisition and helps transfer cutting-edge brain research into real-world benefits for end users, enabling neurologists to understand the non-invasive stimulation of the vagus nerve via an earbud placed in contact with the outer ear.

Soundskrit

Seed Round in 2019
Soundskrit is a Montreal-based company founded in 2017 that specializes in developing bio-inspired directional microphones. These innovative microphones enhance audio capture capabilities in consumer devices by measuring the velocity of incoming sound rather than relying on traditional pressure-based methods. This approach allows Soundskrit's microphones to effectively isolate and separate sound sources in noisy environments, improving speech recognition and sound localization without compromising size or audio quality. Their technology enables various applications, including enhanced audio recording in smartphones and situation-aware devices that allow users to focus on specific sounds. By addressing the limitations of conventional microphones, Soundskrit is poised to advance the next generation of audio applications and features in consumer electronics.

AAVAA

Pre Seed Round in 2019
Developer of an attention detection system designed to detect head direction, eye-gaze direction, intentional eye blinks, and others. The company's product integrates into earphones, earbuds, eyeglasses, and other wearable form factors and gives wearers complete hands-free control of their environment for markets including human-assistive technology, Augmented Reality (AR) and Virtual Reality (VR), and other facial recognition technologies in real-time, enabling hearing enhancement and health monitoring companies to function similar to a visual mouse for the user.

AAVAA

Seed Round in 2019
Developer of an attention detection system designed to detect head direction, eye-gaze direction, intentional eye blinks, and others. The company's product integrates into earphones, earbuds, eyeglasses, and other wearable form factors and gives wearers complete hands-free control of their environment for markets including human-assistive technology, Augmented Reality (AR) and Virtual Reality (VR), and other facial recognition technologies in real-time, enabling hearing enhancement and health monitoring companies to function similar to a visual mouse for the user.

Soundskrit

Seed Round in 2019
Soundskrit is a Montreal-based company founded in 2017 that specializes in developing bio-inspired directional microphones. These innovative microphones enhance audio capture capabilities in consumer devices by measuring the velocity of incoming sound rather than relying on traditional pressure-based methods. This approach allows Soundskrit's microphones to effectively isolate and separate sound sources in noisy environments, improving speech recognition and sound localization without compromising size or audio quality. Their technology enables various applications, including enhanced audio recording in smartphones and situation-aware devices that allow users to focus on specific sounds. By addressing the limitations of conventional microphones, Soundskrit is poised to advance the next generation of audio applications and features in consumer electronics.

Soundskrit

Pre Seed Round in 2017
Soundskrit is a Montreal-based company founded in 2017 that specializes in developing bio-inspired directional microphones. These innovative microphones enhance audio capture capabilities in consumer devices by measuring the velocity of incoming sound rather than relying on traditional pressure-based methods. This approach allows Soundskrit's microphones to effectively isolate and separate sound sources in noisy environments, improving speech recognition and sound localization without compromising size or audio quality. Their technology enables various applications, including enhanced audio recording in smartphones and situation-aware devices that allow users to focus on specific sounds. By addressing the limitations of conventional microphones, Soundskrit is poised to advance the next generation of audio applications and features in consumer electronics.

Fluent.ai

Seed Round in 2017
Fluent.ai is a company that specializes in advanced speech recognition solutions, founded in 2015 and headquartered in Montreal, Canada. The company adopts a unique machine learning approach that enables its technology to understand spoken language without requiring conversion to text. This allows Fluent.ai's speech recognition engine to interpret natural phrases accurately across various languages, accents, and challenging environments, such as smart homes and connected vehicles. Its system is designed to function both online and offline, making it versatile for different applications, including wearables and virtual reality. Fluent.ai's solutions emphasize personalization and reliability, providing businesses with the tools to create secure and user-friendly voice interfaces tailored to their specific needs.

Fluent.ai

Seed Round in 2017
Fluent.ai is a company that specializes in advanced speech recognition solutions, founded in 2015 and headquartered in Montreal, Canada. The company adopts a unique machine learning approach that enables its technology to understand spoken language without requiring conversion to text. This allows Fluent.ai's speech recognition engine to interpret natural phrases accurately across various languages, accents, and challenging environments, such as smart homes and connected vehicles. Its system is designed to function both online and offline, making it versatile for different applications, including wearables and virtual reality. Fluent.ai's solutions emphasize personalization and reliability, providing businesses with the tools to create secure and user-friendly voice interfaces tailored to their specific needs.

Fluent.ai

Seed Round in 2015
Fluent.ai is a company that specializes in advanced speech recognition solutions, founded in 2015 and headquartered in Montreal, Canada. The company adopts a unique machine learning approach that enables its technology to understand spoken language without requiring conversion to text. This allows Fluent.ai's speech recognition engine to interpret natural phrases accurately across various languages, accents, and challenging environments, such as smart homes and connected vehicles. Its system is designed to function both online and offline, making it versatile for different applications, including wearables and virtual reality. Fluent.ai's solutions emphasize personalization and reliability, providing businesses with the tools to create secure and user-friendly voice interfaces tailored to their specific needs.

Fluent.ai

Pre Seed Round in 2015
Fluent.ai is a company that specializes in advanced speech recognition solutions, founded in 2015 and headquartered in Montreal, Canada. The company adopts a unique machine learning approach that enables its technology to understand spoken language without requiring conversion to text. This allows Fluent.ai's speech recognition engine to interpret natural phrases accurately across various languages, accents, and challenging environments, such as smart homes and connected vehicles. Its system is designed to function both online and offline, making it versatile for different applications, including wearables and virtual reality. Fluent.ai's solutions emphasize personalization and reliability, providing businesses with the tools to create secure and user-friendly voice interfaces tailored to their specific needs.

SensAura

Seed Round in 2015
SensAura is a Montreal-based company that specializes in real-time biosignal emotion recognition. The company has developed a software platform that extracts physiological signals, such as heart rate and skin conductivity, from wearable devices equipped with biosensors. By employing machine learning techniques, SensAura’s software translates these biometric signals into coordinates representing emotions like excitement and affability. The platform is designed to be compatible with any wearable device that utilizes at least one biosensor, allowing for a wide range of applications across different sectors. SensAura continuously enhances its technology by exploring novel artificial intelligence methods and adapting to individual users over time for improved accuracy in emotion prediction.

SensAura

Pre Seed Round in 2015
SensAura is a Montreal-based company that specializes in real-time biosignal emotion recognition. The company has developed a software platform that extracts physiological signals, such as heart rate and skin conductivity, from wearable devices equipped with biosensors. By employing machine learning techniques, SensAura’s software translates these biometric signals into coordinates representing emotions like excitement and affability. The platform is designed to be compatible with any wearable device that utilizes at least one biosensor, allowing for a wide range of applications across different sectors. SensAura continuously enhances its technology by exploring novel artificial intelligence methods and adapting to individual users over time for improved accuracy in emotion prediction.
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