This privacy notice discloses the privacy practices for InFlow Machine Learning Inc. This privacy notice applies solely to information collected by this website. It will notify you of the following:
We are the sole owners of the information collected on this site. We only have access to/collect information that you voluntarily give us via email or other direct contact from you. We will not sell or rent this information to anyone.
We will use your information to respond to you, regarding the reason you contacted us. We will not share your information with any third party outside of our organization, other than as necessary to fulfil your request, e.g. to ship an order.
You may opt out of any future contacts from us at any time. You can do the following at any time by contacting us via the email address or phone number given on our website:
We take precautions to protect your information. When you submit sensitive information via the website, your information is protected both online and offline.
Wherever we collect sensitive information (such as credit card data), that information is encrypted and transmitted to us in a secure way. You can verify this by looking for a lock icon in the address bar and looking for "https" at the beginning of the address of the Web page.
While we use encryption to protect sensitive information transmitted online, we also protect your information offline. Only employees who need the information to perform a specific job (for example, billing or customer service) are granted access to personally identifiable information. The computers/servers in which we store personally identifiable information are kept in a secure environment.
Provide analytics that empower clear, measurable and scalable insights
InFlow is a small video analytics company based in Hamilton Ontario, Canada. After nearly a year of development InFlow Machine Learning Inc. was officially founded in May 2019 by Mikhail Andrenkov, Jacoby Joukema, and Daniel Wolff. Since being founded InFlow has gone on to launch InFlow Count, our out of the box people counting system designed to work with security cameras in any environment. Additionally, the recent launch of our custom analytics services allow anyone to harness the power of our real-time video analytics engine.
Our team is comprised of engineers and developers with years of experience designing secure, stable, and intuitive systems. With the experience of our team we've been able to design a cloud-based, hyper scalable, AI infrastructure that pushes well beyond the industry standard. Our cloud-first design patterns, focus on real-time analytics, and user first ui are what makes our solutions special.