🇨🇦 Real-time fleet management anywhere and everywhere with intelligent AI IoT and 5G wireless mobile connectivity.

Mississauga, Ontario, Canada
Joined November 2017
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Replying to @ABFtoday
Congratulations, John Hoagland! We love to see it! This should be the norm!
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Quantuity Analytics retweeted
🇨🇦 Canada is taking center stage at #VivaTech2025 with the largest international delegation! Led by @ScaleAICanada, 500 delegates from 170 organizations will showcase Canada’s AI leadership in the Canadian Pavilion. Meet them June 11–14 in Paris! #AI #CanadaAtVivaTech #COTY
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Innovators often ask: Do I have IP? Where is it? Who owns it? Can it wait? In this video, Todd Bailey of @ScaleAICanada breaks down the who, what, where, when and why of intellectual property—and explains why every tech startup already has IP, whether they know it or not. Your ideas, data and information are the fuel behind your business. Integrating IP into your strategy early gives you more options and improves your odds of long‑term success. 🚀 🎥 Watch the full video to learn more: youtube.com/watch?v=3ix7hBR7…
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Quantuity Analytics retweeted
Ontario innovators are changing the world and making commercial trucking safer for fleet owners and operators. @Quantuity Analytics Inc., founded by @Mark Donaldson, is enabling safer, smarter commercial trucking with plug‑and‑play IoT and 5G connected technology. Their innovation cuts a critical safety task down to seconds, reducing risk and improving efficiency on the road 👏 Every truck carries more than cargo. It carries lives. The Sentinel wireless Edge AI smart sensor helps prevent unplanned brake failures and strengthens safety where it matters most. Learn more at quantuityanalytics.com 💡
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We love to see enforcement in action and the numbers to back it up. We're sure that if more commercial vehicles had come through the inspection blitz, those numbers would continue to go up, unfortunately. Keep up the good work!
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100% preventable with our edge AI smart sensor solutions and our FleetShield AI fleet protection dashboard. AI never sleeps, never gets tired, never misses an inspection and never lies.
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Replying to @PeelPolice
We love to see safety enforcement of commercial heavy vehicles on our roads, especially foundation air brake safety inspections! Keep up the good work @PeelPolice !
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Quantuity Analytics retweeted
📲 Register for the ST Edge AI Summit. Get ready for a great online event that will leave you inspired, informed, and ready to take on the edge AI applications of tomorrow. ▶️ spkl.io/60114qNKc #STEdgeAISummit #edgeAI #STM32 #event #innovation
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Quantuity Analytics retweeted
New Contest: @sparkfun, @Hacksterio, and #NVIDIA have teamed up to launch the #AI Innovation Challenge, which calls on our communities to build innovative applications using the #NVIDIAJetson Platform. Apply for free hardware and win up to $60K in prizes: nvda.ws/3sSPfag
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Proud to be participating in the @MaRSDD Supply AI stream in the City of #Toronto for 2023 along with other great ventures working to improve Canadian Supply Chains with artificial intelligence and machine learning solutions at the center of everything they do. #SupplyChains
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recording a special video for the QA YouTube channel and eating delicious healthy vegan Ethiopian food discussing with my marketing intern the future of AI and technology #startupfounder #tech #healthisweath #vegan
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Sharing some of the photos from #Collison2023 event on June 26-29 I had the incredible opportunity to attend a mind-blowing tech event where I had the pleasure of meeting brilliant founders, visionary CEOs, and an inspiring community of tech enthusiasts. 💻🚀 #Entrepreneurship
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Insurance, Liability Questions Still Hover Over Autonomous Truck Market There are still a lot of unknowns when it comes to operating autonomous trucks... #autonomoustrucking #autonomousvehicle #liability #insurance #commercialtrucking cantruck.ca/insurance-liabil…
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Running machine learning inference on tiny devices, known as TinyML, is an emerging research area. This task requires generating inference code that uses memory frugally, a task that standard ML frameworks are ill-suited for. #tinyml #AI #ML #IoT arxiv.org/abs/2210.16556
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