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Founded Year



Seed VC - III | Alive

Total Raised


Last Raised

$6M | 1 yr ago

About DarwinAI

DarwinAI operates as a visual quality inspection company. It offers manufacturers an end-to-end solution to improve product quality and increase production. It focuses on applications in the automotive, consumer electronics, and computer hardware industries. The company was founded in 2017 and is based in Waterloo, Canada.

Headquarters Location

600 Weber Street North

Waterloo, Ontario, N2V 1K4,



DarwinAI's Product Videos

ESPs containing DarwinAI

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Enterprise Tech / BI & Operational Intelligence

The data science platforms market offers solutions to help businesses overcome common obstacles in implementing AI and machine learning, such as lack of internal standards, technical debt, and security and governance concerns. These platforms provide standardized and robustly-engineered algorithms that can solve real-world problems under a unified framework. They also automate and accelerate the M…

DarwinAI named as Challenger among 14 other companies, including Databricks, Cloudera, and Dataiku.

DarwinAI's Products & Differentiators

    DarwinAI Visual Quality Inspection

    DarwinAI VQI is the preeminent industry 4.0 visual quality inspection system for PCBA & electronics. DarwinAI VQI provides manufacturers with a turnkey hardware and software system in three models: Inline, Mobile and Desktop. The automated system provides end-to end inspection for the entire PCBA manufacturing journey: Pre-SMT, Through Hole, Conformal Coating, SMT and Final Mixed-Assembly inspection. Forward-looking manufacturers who want to stay competitive rely on our rapid automated inspection as a replacement for even the most challenging manual inspection, with our specialized optics and award-winning AI, so they can reduce costly defects and ship products faster. Manufacturers both catch defects upstream, and also get immediate access to comprehensive inspection data that enables them to optimize their QC process.


Research containing DarwinAI

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned DarwinAI in 3 CB Insights research briefs, most recently on Nov 10, 2021.

Expert Collections containing DarwinAI

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

DarwinAI is included in 4 Expert Collections, including Artificial Intelligence.


Artificial Intelligence

10,987 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.


Game Changers 2018

36 items

Our selected startups are high-momentum companies pioneering technology with the potential to transform society and economies for the better.


AI 100

200 items

The winners of the 4th annual CB Insights AI 100.


Advanced Manufacturing

4,506 items

Companies in the advanced manufacturing tech space, including companies focusing on technologies across R&D, mass production, or sustainability

DarwinAI Patents

DarwinAI has filed 6 patents.

The 3 most popular patent topics include:

  • artificial intelligence
  • artificial neural networks
  • classification algorithms
patents chart

Application Date

Grant Date


Related Topics



Machine learning, Artificial neural networks, Classification algorithms, Artificial intelligence, Machine learning algorithms


Application Date


Grant Date


Related Topics

Machine learning, Artificial neural networks, Classification algorithms, Artificial intelligence, Machine learning algorithms



Latest DarwinAI News

Inception Spotlight: DarwinAI Achieves 96% Screening Accuracy for COVID-19 with Diverse CT Dataset

May 8, 2023

Feb 04, 2021 NVIDIA Inception partner DarwinAI developed a new AI model to detect COVID-19 in CT scans with 96% accuracy across a wide and diverse number of scenarios. The model, COVID-Net CT-2, was built using a number of large and diverse datasets created over several months with the University of Waterloo and is publicly available on GitHub. Last year, the startup launched an open source neural network for COVID-19 detection called COVID-Net. Their new model builds upon the initiative with a more robust model, trained on the largest quantity and diversity of multinational patient cases in research literature. Their academic study detailing the construction and validation of the model can be found here . DarwinAI used an NVIDIA RTX 6000 for training their neural network and the NVIDIA Jetson Nano embedded AI platform to run their inference workloads. “By building COVID-NET CT-2 from such rich and voluminous data, we’ve been able to achieve a new level of screening accuracy, with COVID-19 sensitivity and positive predictive value exceeding 96% across a wide and diverse number of scenarios,” said Sheldon Fernandez, CEO of Darwin-AI. “Our XAI platform was instrumental in the construction of the original COVID-Net model. For this version, we have engaged two senior radiologists in Canada to validate the way in which COVID-Net CT-2 makes its decisions. Much to our delight, both confirmed the decision-making process of COVID-Net CT-2 is consistent with their own expert interpretations,” Fernandez added. “In addition to illustrating the emerging cooperation between our respective domains, their validation exemplifies the importance of our XAI technology in constructing transparent and trustworthy AI.” The largest of the datasets used to develop the new AI model consists of over 4,500 patients across 15 countries with 200,000 CT slices. Both DarwinAI and NVIDIA are enabling researchers to build neural networks to fight COVID-19 with the help of open source AI and publicly available pre-trained models. Medical imaging AI models for detecting COVID-19 in X-rays and CTs can be accessed through DarwinAI’s COVID-Net Initiative and the NVIDIA COVID-19 NGC Catalog . Learn more about how AI, accelerated computing, and GPU technology are contributing to the worldwide battle against the novel coronavirus in the COVID-19 Research Hub .

DarwinAI Frequently Asked Questions (FAQ)

  • When was DarwinAI founded?

    DarwinAI was founded in 2017.

  • Where is DarwinAI's headquarters?

    DarwinAI's headquarters is located at 600 Weber Street North, Waterloo.

  • What is DarwinAI's latest funding round?

    DarwinAI's latest funding round is Seed VC - III.

  • How much did DarwinAI raise?

    DarwinAI raised a total of $9M.

  • Who are the investors of DarwinAI?

    Investors of DarwinAI include BDC Capital, 5G Open Innovation Lab, NVIDIA Inception Program, Honeywell Ventures, REDDS Capital and 8 more.

  • Who are DarwinAI's competitors?

    Competitors of DarwinAI include Landing AI, Edge Impulse, DataRobot, Corpy & Co., Scortex and 7 more.

  • What products does DarwinAI offer?

    DarwinAI's products include DarwinAI Visual Quality Inspection.


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