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Vivid Machines

Entrepreneur First '21

Toronto, CA · Founded 2020 · Canada (Federal Level) corporation · 23 employees on LinkedIn · 18 known investors

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Harley Finkelsteinunlockedknows Jenny Lemieux · together at Concordia University (overlapped)
knows the team · via ETH Zürich
knows the team · via Mila - Quebec Artificial Intelligence Institute
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Vivid Machines provides real-time crop intelligence and vision-based technology for fruit producers, offering insights on crop load management, yield forecasting, plant health, and disease detection. Its tools help growers improve profitability, reduce waste, and cut spray inputs through precision spraying.

Also known as Vivid Machine · Vivid Machines Inc.

Founders & leadership

Vivid Machines was founded in 2020 by Jonathan Binas and Jenny Lemieux.

JBJonathan Binas
Jonathan BinasinCo-Founder & CTOJonathan Binas has more than ten years of experience developing AI technology, ranging from neuromorphic, brain-inspired chips to state-of-the-art models. He completed a postdoctoral fellowship under Yoshua Bengio.
JLJenny Lemieux
Jenny LemieuxinCo-founderJenny Lemieux is an engineer who was raised on a farm and holds a Master of Management in Artificial Intelligence from Queen's University in Canada. She has led teams delivering AI products for clients including Walmart and Ford.

Investors · 18

Also in the syndicate · 9

Algoma OrchardsBDC Capital Thrive Venture FundleadConexus Venture Capital (Emmertech)CornellFreycinet InvestmentsFreycinet VenturesKirk KempMaRS IAFW Fund

Reported raises · per SEC filings

Form D private placements

$346.2K disclosed across 1 of 3 rounds · 2023

$346.2KraisedMar 2023 · 3 investors · Other Technology
Rule 506(c)
Officers, directors & promoters on the filing
  • Jennifer LemieuxExecutive Officer, Director
  • Jonathan BinasExecutive Officer, Director
Offering amount
$346.2K
Amount sold
$346.2K
Minimum investment
$25K
First sale
Feb 2023
Incorporated
Corporation, Canada (federal Level), 2020
Federal exemptions
06c
Full filing on SEC EDGAR ↗

Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.

Company profile

researched Aug 2026

Vivid Machines develops a spectral sensor and computer vision system, marketed as the Vivid XV (also referred to as Vivid-X), that mounts onto existing farm equipment such as tractors and ATVs and captures plant-level imagery below the canopy while growers drive, spray or scout, requiring no additional passes through the field. The captured data is processed with machine learning models and delivered through cloud analytics and dashboards, producing per-tree, row and block level insights on fruit count, fruit size, crop load, vigour and plant health, along with yield forecasts from blossom through pre-harvest [0][3][4][5][6].

The stated applications include crop management (measuring crop load, size and vigour to guide thinning, pruning, spraying and harvest decisions), crew management (directing labour to the areas that need it), automated scouting to flag in-field variability, and sales planning through early block-level volume forecasts. Supported crops are orchards and vineyards, with the company describing work to expand into additional fruit crops such as grapes, kiwifruit and cherries, and research into making predictions from dormant trees at the bud stage to support early pruning decisions [0][3][6].

Beyond the farm gate, the company positions its data as a tool for fruit supply chain transparency, supplying early yield predictions to packhouses, marketers and retailers so they can plan volumes, sizes, varieties and timing [2][5][6].

Founding story

Co-founders Jenny Lemieux (CEO) and Jonathan Binas (CTO) met as participants in the Entrepreneur First program and found shared interests in information technology, machine learning and food production. Conversations with growers, agronomists, researchers and staff at the Ontario Ministry of Agriculture, Food and Rural Affairs and the Vineland Research and Innovation Centre identified the need to improve manual measuring and counting of blossoms, fruitlets and fruit and to detect pests and disease. They founded Vivid Machines in 2020 and trialled their first prototype in an orchard the following spring [3][4][5][6].

Business model

Vivid Machines sells a hardware-plus-software offering: the Vivid XV camera/sensor unit that mounts to a grower's existing equipment, combined with cloud analytics and dashboards delivering real-time insights. One source describes the offering as marketed with a leasing plus per-acre software model, with growers retaining ownership of their data so they can use it in negotiations with packers and retailers [0][3].

Traction

Company-published grower testimonials describe outcomes including a 40–50% reduction in spray use via variable-rate spraying guided by the system (Penn State research partner), reduced hand thinning using heat maps to isolate heavier parts of a block, and early detection that certain varieties were down as much as 30% (roughly 20,000 bushels) versus expectations, allowing labour and marketing adjustments. Algoma Orchards' owner reported average yield prediction accuracy of 90% by the end of the prior season in apple orchards. Named users and early customers referenced across sources include Algoma Orchards, Niagara Fresh Fruit, Beak & Skiff, Blue Mountain Fruit Co., Okanagan Orchard, Botden Orchards and Chudleigh's; pilots are described across Ontario, Washington and New York [0][3][5][6].

Latest developments

The most recent developments in the sources are the April 2023 seed round led by BDC Capital Thrive Venture Fund and the completion of the Bioenterprise SmartGrowth-funded project to extend the system across the fruit supply chain and toward dormant-tree predictions. The careers page (copyright 2024) lists no current open positions [2][3][4][6].

Full profile — market position, technology, go-to-market, geography, history, risks & controversies

Market position

An early-stage Canadian agtech company in precision agriculture for permanent and specialty crops. Company representatives state that international competitors are developing similar systems and describe Vivid Machines as a made-in-Canada solution, claiming at the time to be the only one able to generate results for growers in near real time. It is a BDC Capital portfolio company [3][6].

Differentiation claims centre on the equipment-mounted, under-canopy multispectral sensor that collects per-plant data during existing field operations rather than requiring dedicated drone or satellite passes; near real-time per-plant analytics from blossom to pre-harvest; reported high model accuracy; integration into existing farm workflows; grower ownership of the resulting data; and extension of the data set to packhouses and marketers for supply-chain transparency [3][6].

Technology

A real-time multispectral/spectral sensor paired with a computer vision and machine learning stack. The camera is designed to be low-cost and mountable on ATVs and tractors so it captures under-canopy, per-plant data during routine operations, in contrast to drone or satellite imagery that yields higher-level averages. Outputs include automated fruit counting and sizing, vigour measurement, heat maps of within-block variability, early yield prediction, and plant health/disease detection (including viral disease in grapes). One source cites CENGN testbed validation reporting machine learning model accuracy above 95% in some tests, and work is underway to extend the models to dormant-stage mapping and bud-stage prediction [0][3][6].

Go-to-market

The website's primary conversion path is a "Book a Demo" request, with a support line and an explicit investor contact route. The company works closely with named commercial growers and packing/marketing partners, and reached the market via prototype trials in 2021 followed by pilot programs with multiple growers and research testbeds before commercial deployment [0][2][3][6].

Fruit producers operating orchards and vineyards — described as permanent and specialty crop growers, initially apples and expanding to other fruits — as well as downstream fruit supply chain participants including packhouses, fruit marketers and retailers that need early and accurate yield forecasts [2][3][4][5][6].

Geography

Headquartered in Toronto, Ontario, Canada (address listed as 42 Russett Ave). Pilots and deployments described in Ontario, Washington State and New York, with the website stating growers worldwide use the multi-language Vivid XV system and the company citing potential international opportunities in crops such as grapes and cherries [0][3][6].

History

Founded/incorporated in 2020 in Toronto; first orchard prototype trials in spring 2021; progression from prototype to a minimum viable commercial product over roughly two years, with pilots reported across Ontario, Washington and New York. In April 2023 the company closed an oversubscribed seed round led by BDC Capital Thrive Venture Fund, reported as USD $4.3 million (described elsewhere as CAD $5.8 million), to fund additional system applications and expansion into more fruit crops. It also received $100,000 in non-repayable funding from Bioenterprise Canada's SmartGrowth program (supported by FedDev Ontario) for a year-long project extending the system to packhouses and other value-chain partners, researching dormant-tree predictions and expanding into new crops [3][4][5][6].

Risks & controversies

No controversies are reported in the sources. Sources note competitive risk from international companies developing similar systems, prompting an emphasis on speed to market. Reported funding figures are inconsistent across sources (USD $4.3M, CAD $5.8M, and a $3.0M seed listing), and one aggregator lists an employee range (1001–5000) that is inconsistent with the company's stage as described elsewhere [3][4][6].

Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Machine learning model accuracy reported in controlled/CENGN validation testsJan 2023~95%+
Public/program funding for scaling supply-chain transparencyJan 2023$810.9K
Reduction in spray use with Vivid-guided variable-rate sprayingJan 202540-50% reduction
Seed round size in Canadian dollarsJan 20235,800,000 CAD
Total disclosed funding (aggregator listing)Apr 2023$3M
Yield prediction accuracy in apple orchards (Algoma Orchards, end of season averApr 202390%

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Timeline · 4

launches, deals, and filings
Apr 2023
Closes $4.3M USD oversubscribed seed round led by BDC Capital Thrive Venture Fund

Toronto-based Vivid Machines raised USD $4.3M in seed funding to accelerate development of additional system applications and expand into more fruit crops. Described elsewhere as a CAD $5.8M seed round.

$4.3M source ↗

Jan 2023
$100,000 non-repayable SmartGrowth grant from Bioenterprise Canada

Bioenterprise Canada's SmartGrowth program, supported by a Government of Canada investment through FedDev Ontario, provided $100,000 in non-repayable funding for a year-long project to extend the system to packhouses and other fruit value-chain partners, research dormant-tree predictions and expand into new fruit crops.

$100K source ↗

Jan 2021
First orchard prototype trial

In the spring following the company's 2020 founding, the founders trialled their first prototype in the orchard, later progressing to pilot programs with multiple growers.

source ↗

Jan 2020
Vivid Machines Inc. founded in Ontario

Jenny Lemieux (CEO) and Jonathan Binas (CTO), who met through the Entrepreneur First program, incorporated Vivid Machines in 2020 after conversations with growers, agronomists, researchers, OMAFRA and Vineland Research and Innovation Centre identified needs in orchard measurement and pest/disease detection.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

Legal entities · 1

corporate structure
Vivid MachinesCanada (Federal Level)

In the news

Research sources · 8

primary sources listed

8 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Vivid Machines do?
Toronto-based agtech company using equipment-mounted spectral cameras and computer vision to give fruit growers plant-level crop data.
Who founded Vivid Machines?
Vivid Machines was founded by Jonathan Binas, Jenny Lemieux in 2020.
Who are Vivid Machines's investors?
Vivid Machines's investors include Entrepreneur First, MaRS Investment Accelerator Fund (IAF), Spatial Capital, Stand Up Ventures, Tall Grass Ventures, BDC Capital Corporation, BoxOne Ventures, N49P and 1 more.
How much funding has Vivid Machines raised?
Vivid Machines has disclosed $346.2K raised across 1 of its 3 known rounds.
Where is Vivid Machines headquartered?
Vivid Machines is headquartered in Toronto, CA.