Vivid Machines
AI-powered computer vision for real-time fruit crop intelligence
Website: https://www.vivid-machines.com/
Cover Block
| Metric | Value |
|---|---|
| Name | Vivid Machines |
| Tagline | AI-powered computer vision for real-time fruit crop intelligence |
| Headquarters | Toronto, Canada |
| Founded | 2020 |
| Stage | Seed |
| Business Model | Hardware + Software |
| Industry | Agtech |
| Technology | AI / Machine Learning |
| Geography | North America |
| Founding Team | Co-Founders (2) |
| Funding Label | ~$4,300,000 |
Links
- Website: https://www.vivid-machines.com/
- LinkedIn: https://www.linkedin.com/company/vivid-machines
Data Accuracy: YELLOW -- Website confirmed via primary source. LinkedIn page presence confirmed via team member profiles [LinkedIn profiles, 2026].
The Short Version
Vivid Machines sells a hardware and software system that uses AI-powered computer vision to give fruit growers plant-level crop intelligence in real time, targeting the problem of yield forecasting in high-value permanent crops [Vivid Machines website]. The company was founded in 2020 by Jenny Lemieux and Jonathan Binas, who connected through the Entrepreneur First accelerator program [Perplexity Sonar Pro]. Its core product, the Vivid XV3 camera, is designed to mount on existing farm equipment to collect data during normal operations, aiming to provide actionable insights for crop load management and resource allocation without requiring additional field passes [Vivid Machines website].
CEO Jenny Lemieux brings a product management background from Walmart and Ford, while CTO Jonathan Binas offers technical credibility from a postdoctoral fellowship at Mila and a PhD from ETH Zürich [Vivid Machines about page]; [The Org, 2026]. The company has raised a seed round, publicly disclosed at $4.3 million USD in April 2023, backed by a syndicate that includes institutional investors like BDC Capital and Cornell Capital as well as strategic grower Algoma Orchards [Business Wire, 2023]; [Finsmes, 2023].
Data Accuracy: YELLOW -- Key company facts are confirmed by multiple sources; team backgrounds are partially corroborated; commercial traction claims lack independent verification.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Seed |
| Business Model | Hardware + Software |
| Industry / Vertical | Agtech |
| Technology Type | AI / Machine Learning |
| Geography | North America |
| Founding Team | Co-Founders (2) |
The Company in Brief
Vivid Machines was founded in 2020 in Toronto, Canada, by Jenny Lemieux and Jonathan Binas [Perplexity Sonar Pro]. Lemieux holds master's degrees in product and AI management and brought commercial context from prior roles at Walmart and Ford [Vivid Machines about page]. Binas, a postdoctoral fellow at the Mila AI Institute with a PhD from ETH Zürich, provided technical expertise in machine learning [The Org, 2026].
A key early milestone was participation in Entrepreneur First, which provided initial capital and network access [Business Insider, 2021]. The company announced the close of a $4.3 million USD seed round in April 2023, led by a consortium including Cornell Capital, BDC Capital’s Thrive Venture Fund, and StandUp Ventures [Business Wire, 2023].
Development has focused on the Vivid XV system, a hardware-plus-software platform designed to mount on existing farm equipment. The only specific, named customer reference in public materials is Algoma Orchards, an operation in Newcastle, Ontario, which provided a testimonial citing a 90% yield prediction accuracy average by the end of a season [Vivid Machines blog]. The team has grown to an estimated 19 employees [PitchBook, 2026] [RocketReach, 2026].
Data Accuracy: YELLOW -- Founding year and seed round confirmed by multiple press releases; team background and size corroborated by databases and profiles; customer traction claims are primarily from company sources.
What They Have Built
The company's core offering is a hardware-plus-software system designed to translate visual orchard data into operational decisions. Vivid Machines positions the Vivid XV3 camera as an AI-powered computer vision system that mounts on existing farm equipment, capturing real-time, plant-level data as growers perform routine tasks [Vivid Machines website].
The software layer processes this imagery to generate crop load management insights, enabling early yield forecasting, targeted crew deployment for thinning, and monitoring for crop health issues [Vivid Machines blog, 2025]. A testimonial from an Ontario orchard owner claims the system achieved an average yield prediction accuracy of 90% by the end of a season [Vivid Machines blog].
Data Accuracy: YELLOW -- Product claims are sourced from the company's own materials; a single customer testimonial provides a specific performance metric but lacks independent verification.
Market Size and Demand
The push for precision in specialty crop production is driven by a need to reconcile volatile yields with rising input costs and labor constraints.
| Metric | Value |
|---|---|
| Global Precision Farming Market (2023) | $9.5B |
| Agricultural Drones & Robotics Market (2022) | $5.4B |
| Projected Ag Drones & Robotics Market (2027) | $13.5B |
Demand drivers include labor scarcity, climate volatility, and the growing emphasis on sustainable input use [AgFunder, 2024]; [McKinsey, 2023]. Adjacent markets include broadacre crop monitoring via satellite and farm management software (FMS) platforms. Regulatory scrutiny on pesticide use and water rights in regions like California and the EU is pushing growers toward precision application methods [Western Growers, 2024].
Data Accuracy: YELLOW -- Market sizing figures are cited from third-party analyst reports but are for analogous, broader markets.
Who Else Is Fighting for This
Vivid Machines enters a specialized segment of the agricultural technology market. By concentrating on fruit crops and designing the Vivid XV3 to mount on existing farm equipment, it aims for a depth of application that generalists cannot match. This focus could yield a proprietary dataset of fruit tree imagery and growth patterns. The company's early integration with Algoma Orchards suggests a path to building this dataset through pilot deployments [Vivid Machines blog, 2025].
Data Accuracy: YELLOW -- Landscape analysis is inferred from company positioning and general market knowledge.
Opportunity
The headline opportunity is to become the default crop intelligence layer for commercial fruit production. The Vivid XV system's design to mount on existing equipment targets the adoption barrier of requiring new, dedicated machinery [Vivid Machines website]. A testimonial from an Ontario orchard owner citing a 90% yield prediction accuracy at season's end [Vivid Machines blog, 2025] provides an early signal that the technology can deliver actionable insight.
Data Accuracy: YELLOW -- The core opportunity thesis is built on company-stated goals and one specific, attributed testimonial.
Sources
- [Vivid Machines website] Vivid Machines | About Us | https://www.vivid-machines.com/
- [Business Insider, 2021] A Canadian tech pioneer tells us why this Toronto accelerator, backed by Reid Hoffman, is a shift | https://www.businessinsider.com/reid-hoffman-backed-entrepreneur-first-makes-toronto-a-startup-hub-2021-7
- [Business Wire, 2023] Vivid Machines Closes $4.3M USD Seed Round Funding to Expand End-to-End Computer Vision Services for Fruit Supply Chain | https://www.businesswire.com/news/home/20230413005155/en/%C2%A0Vivid-Machines-Closes-4.3M-USD-Seed-Round-Funding-to-Expand-End-to-End-Computer-Vision-Services-for-Fruit-Supply-Chain
- [Finsmes, 2023] Vivid Machines Closes $4.3M USD in Seed Funding | https://www.finsmes.com/2023/04/vivid-machines-closes-4-3m-usd-in-seed-funding.html
- [Vivid Machines blog, 2025] 5 Ways The Vivid XV3 Maximizes Your Orchard's Potential with Plant and Tree Analytics | https://www.vivid-machines.com/blog/5-ways-the-vivid-xv3-maximizes-your-orchards-potential-with-plant-and-tree-analytics
- [The Org, 2026] Jonathan Binas Profile | https://theorg.com/
- [PitchBook, 2026] Vivid Machines 2026 Company Profile: Valuation, Funding & Investors | https://pitchbook.com/profiles/company/464005-09
- [RocketReach, 2026] Vivid Machines Company Profile | https://rocketreach.co/
- [LinkedIn profiles, 2026] LinkedIn Profiles for Vivid Machines Team Members | https://www.linkedin.com/company/vivid-machines
- [Grand View Research, 2023] Precision Farming Market Size Report, 2023-2030 | https://www.grandviewresearch.com/industry-analysis/precision-farming-market
- [MarketsandMarkets, 2022] Agricultural Drones Market by Type, Component, and Application - Global Forecast to 2027 | https://www.marketsandmarkets.com/Market-Reports/agricultural-drones-market-23709764.html
- [AgFunder, 2024] AgFunder AgriFood Tech Investment Report 2024 | https://agfunder.com/research/agrifood-tech-investment-report-2024/
- [McKinsey, 2023] Agriculture’s connected future: How technology can yield new growth | https://www.mckinsey.com/industries/agriculture/our-insights/agricultures-connected-future-how-technology-can-yield-new-growth
- [Western Growers, 2024] Western Growers Association on Regulatory Trends | https://www.wga.com/
- [AgFunderNews, 2021] ICL Group acquires tree intelligence startup SeeTree | https://agfundernews.com/icl-group-acquires-tree-intelligence-startup-seetree
Articles about Vivid Machines
- Vivid Machines Mounts Computer Vision on the Tractor Itself — The Toronto startup's hardware-software system aims to give fruit growers real-time, per-plant data from existing equipment.