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TandemLaunch

Venture fund and startup foundry

Overview

TandemLaunch is a venture capital fund and startup foundry that partners with researchers and entrepreneurs to turn academic innovations into market-ready deep tech companies. It collaborates with universities worldwide to identify promising technologies and builds teams around them, providing funding, mentorship, and operational support. The model differs from typical startups by integrating researchers into a structured entrepreneurship path, offering early investment (about 600K), paid salaries, IP protection, and backend office services to accelerate product development. With a portfolio of more than 25 hardware and software startups spanning AI, human-computer interaction, video processing, sensors, computer vision, and audio tech, TandemLaunch aims to turn research into commercially successful companies and solve real-world problems by matching top tech talent with groundbreaking technologies.

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About TandemLaunch

Simplify's Rating
Why TandemLaunch is rated
C+
Rated B on Competitive Edge
Rated C on Growth Potential
Rated C on Differentiation

Industries

Venture CapitalHardwareAI & Machine Learning

Company Size

11-50

Company Stage

Seed

Total Funding

$78.3M

Headquarters

Montreal, Canada

Founded

2010

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Simplify's Take

What believers are saying

  • Q2-2026 portfolio activity shows Agapyo, ChillSkyn, and INLAN all advancing.
  • INLAN raised US$5M in December 2025, validating TandemLaunch’s current sourcing.
  • SportlogiQ’s January 2026 acquisition strengthens TandemLaunch’s credibility with founders and LPs.

What critics are saying

  • Deep-tech incubation needs long cycles; Fund IV still targets only 15 startups.
  • SportlogiQ’s decade-long path to Teamworks shows slow liquidity and execution risk.
  • If university-IP sourcing dries up, TandemLaunch’s pipeline and model lose their edge.

What makes TandemLaunch unique

  • TandemLaunch builds startups from university IP, not just writing checks, since 2010.
  • Its 2025 Fund IV closed at $37M CAD with BDC, FTQ, and VCCI.
  • Its portfolio has produced exits like SportlogiQ, Deeplite, Mirametrix, and wrnch.

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Funding

Total Funding

$78.3M

Above

Industry Average

Funded Over

0 Rounds

Company News

Binghamton University
Jul 17th, 2026
New ear probe to detect hearing issues is based on how spiders 'hear' through their webs.

New ear probe to detect hearing issues is based on how spiders 'hear' through their webs. National Institutes of Health funds $1.84 million project using cochlear emissions to diagnose inner-ear problems. By Chris Kocher July 17, 2026 Here's a fun fact you probably don't know: Whenever a sound goes into your ear, a much quieter sound comes back out - and if a device picks it up and analyzes it, audiologists can figure out if you have hearing problems. The cochlea - a spiral-shaped cavity where sensory hairs pick up sound waves - generates those otoacoustic emissions (OAEs) in response to auditory stimuli. Studies have shown that OAEs disappear after the inner ear has been damaged. Binghamton University Assistant Professor Jian Zhou, PhD '18, will lead a five-year, $1.84 million project funded by the National Institutes of Health (opens in a new window) to create a dual-sensing ear canal probe that will more accurately and reliably detect those OAEs. Zhou will collaborate with co-investigators Distinguished Professor Ronald Miles at Binghamton University and Professor Christopher Shera at the University of Southern California's Keck School of Medicine. The team hopes to build a prototype during the first three years and then refine its performance through participant testing. "Flow microphones have so many potential uses," Zhou said. "Rethinking it as a medical device could help millions of people with hearing impairment around the world receive better diagnosis and provide valuable feedback for treatment." Conventional microphones detect sound pressure, but sound also causes air movement, and that's what particle velocity detects. "One of my obsessions has been that you don't need to hear pressure in order to detect sound. You could detect the motion of the air," Miles said. "Both things are the sound, but the microphones that we make and use now are all modeled after human ears, because humans are arrogant animals and we make everything work like us. The truth is, most animals don't hear sound that way at all - they hear the motion of the air. That includes many of the insects that can hear. They have mosquito antennae and hairs and other things that move back and forth." The probe will build on technologies developed by Miles and Zhou - both faculty members at the Thomas J. Watson College of Engineering and Applied Science's Department of Mechanical Engineering - including patented sensing technology inspired by how spiders hear sound through their webs. While earning his doctorate at Binghamton, Zhou went for a walk through the University's Nature Preserve and saw a spiderweb blowing in the breeze. He returned to Miles' lab with an idea: Could something strong but thin like spider silk be used in a microphone to detect particle velocity? After some experimentation, the researchers found that it could respond to sound with perfect fidelity from 1 hertz up to 50 kilohertz, a broader frequency range and flatter frequency response than conventional pressure-based microphones. Although the technology no longer relies on harvesting silk from spiders, Zhou remains grateful for the flash of insight. "I won't say we can do better, but we can make smaller structures than the insects do using nanotechnology," he said. "We can fabricate structures with dimensions below 10 nanometers, up to 100 times thinner than spider silk." The bio-inspired flow microphone has been commercialized by the Canadian venture firm TandemLaunch and its spin-off company Soundskrit. For the ear probe, the Binghamton team plans to shrink it down, integrate a laser for more precision, and include a more traditional acoustic-pressure microphone - all while making sure it remains safe for patients. The smallness of the ear canal and the even tinier human hearing system make it complicated to study, but Miles is looking forward to helping with the design: "This project will require some crazy advances in technology, which is what we're doing because we're engineers who make stuff." "If we are successful with this project, we will introduce a new instrument that can help us better understand how the ear works, and detect hearing loss earlier and more precisely," Zhou said.

AP News
Feb 19th, 2026
Shearwater Aerospace raises $3M to scale AI-powered autonomous drone navigation platform

Montreal-based Shearwater Aerospace has closed a $3 million seed round to accelerate commercialisation of Smart Flight, its AI-powered autonomous flight platform for uncrewed aircraft. The round was led by a strategic Canadian corporate venture capital investor. Smart Flight enables drone operations in challenging weather and complex terrain by leveraging real-time environmental intelligence. The drone-agnostic technology extends operational range by 30%, improves transit efficiency by 25%, and reduces pilot workload by 90%. Founded as a TandemLaunch portfolio company, Shearwater partners with drone system integrators and prime contractors for beyond-visual-line-of-sight operations across commercial and defence programmes. The funding will support customer deployment, expand autonomous capabilities, and scale engineering and customer-facing teams.

PR Newswire
Dec 10th, 2025
INLAN raises $5M to scale battery-less IoT tags for AI-ready supply chains

INLAN, a Montreal-based technology company, has raised $5 million in Series A funding led by Saas Fee Limited, with participation from Shea Ventures, TandemLaunch and strategic individual investors. The company develops battery-less IoT tags and AI-ready data infrastructure for supply chains. INLAN's technology combines the affordability of RFID with the performance of active IoT devices, enabling granular, real-time data collection. CEO Ali Shajii said current sensing technologies are either too limited or too expensive to provide the data quality needed for AI-driven supply chain management. The funding will support large-scale deployment of INLAN's hardware and expansion of its software platform. The company has spent two years developing the technology and will now scale into real-world industrial and supply chain applications.

BetaKit
Feb 27th, 2025
TandemLaunch closes $37-million Fund IV to create and back deep tech startups

TandemLaunch closes $37-million Fund IV to create and back deep tech startups.

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