Products

Signal Tracker Data Platform Data Enrichment API Intelligence desk

Solutions

Inward Investment & Aftercare Deal Origination Executive Search Corporate Development Signal-Based Outbound Competitive Intelligence Funding Signals Competitor Monitoring For Sales Teams For Founders For Agencies For Investors

Explore

Companies Live Signals Markets Trends

Resources

Signal Checker Blog Integrations FAQ Contact Pricing
Login Book a demo
InFlow Machine Learning logo — InFlow provides a cloud based people counting platform for r...

InFlow Machine Learning

InFlow provides a cloud based people counting platform for retail, facility, and security managers.

Founded 2018 Canada Hamilton, Canada 2-10 employees Pre-Seed Total: $24.00K Cloud Infrastructure, Computing

General Information

Company Name InFlow Machine Learning
Founded Year 2018
Location Canada Hamilton, Canada
Employees 2-10
Industries Cloud Infrastructure, Computing
Funding Stage Pre-Seed
Social

BounceWatch is an independent company data service, not affiliated with InFlow Machine Learning. To contact InFlow Machine Learning, visit inflow.ml.

Is this your company?

Confirm with your work e-mail, get the Verified badge and keep this profile correct yourself. Search engines and AI assistants read it every day.

Get Verified

How does InFlow Machine Learning compare?

A PDF of InFlow Machine Learning and up to 10 competitors you pick: team, funding, traffic and every dated move of the last 90 days. Each company is re-checked on the day you order, so it is current.

See a sample report

This takes a few seconds: we look beyond our own index too.

Meeting InFlow Machine Learning soon?

A one-page PDF brief: what it does, key facts, the last 90 days of dated moves and questions worth asking. Re-checked on the day you order. See a sample

About InFlow Machine Learning

InFlow Machine Learning is a video analytics startup founded in 2019 and headquartered in Canada. The company's slogan "InFlow provides a cloud-based people counting platform for retail, facility, and security managers" highlights its core offering. InFlow's cloud-based platform empowers retail, facility, and security managers by providing valuable insights into how people move, use, and interact with their facilities. The innovative aspect of InFlow's solution is that it harnesses existing security infrastructure to offer real-time powerful analytics that are accessible anytime, anywhere without requiring the installation of any hardware or software on site. The startup recently secured a $24.00K Pre Seed Round investment on 22nd March 2019, although the information about the investors participating in this round is not available. InFlow's ability to capitalize on the growing demand for video analytics in retail, facilities, and security management positions it well in a market with significant potential for disruption and growth. InFlow's value proposition lies in its capability to enable managers to make data-driven decisions and optimize their operations based on insights derived from video analytics. The company's focus on leveraging existing infrastructure signifies a cost-effective and scalable approach, aligning with current market trends. As InFlow continues to expand its offerings and secure additional funding, it has the potential to revolutionize how facilities are managed and secured, making it an intriguing prospect for venture capital investment.

Business keywords: Video analytics, Cloud-based platform, Retail management, Facility management, Security management, Real-time analytics, Cloud computing, People counting, Machine learning, InFlow, Security infrastructure, Retail technology, Facility usage, Municipalities

Funding Rounds & Investors (1)

View All
Funding Stage Amount Investors Lead Investors Date
Pre Seed Round $24.00K -
22 Mar 2019

InFlow Machine Learning Alternatives & Competitors

View All Alternatives
InFlow Machine Learning vs
Strong Compute
Strong Compute Australia

We sell fast compute for ML use cases. Companies using us develop neural networks 10x faster or more...

Seed
14 employees
AI, Cloud Infrastructure
InFlow Machine Learning vs
EZ Cloud
EZ Cloud United States

Bridging AI-powered AP performance with the highest quality customer experiences.

26 employees
Cloud Infrastructure, Computing
InFlow Machine Learning vs
OxygenIT by ScaleDynamics
OxygenIT by ScaleDynamics France

Reduce the carbon emissions of your cloud and IT infrastructure

12 employees
Cloud Infrastructure, Computing
View all alternatives

FAQ About InFlow Machine Learning

InFlow provides a cloud based people counting platform for retail, facility, and security managers.
InFlow Machine Learning was founded in 2018.
InFlow Machine Learning is headquartered in Hamilton, Canada.
InFlow Machine Learning operates in Cloud Infrastructure and Computing. Its work centres on Video analytics, Cloud-based platform, Retail management and Facility management.
InFlow Machine Learning has approximately 2-10 employees.
InFlow Machine Learning has completed 1 funding round, raising a total of $24.00K. The latest funding stage is Pre-Seed.
Top alternatives and competitors to InFlow Machine Learning include Strong Compute, EZ Cloud, OxygenIT by ScaleDynamics, Spot by NetApp, Taidy. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
InFlow Machine Learning and Strong Compute are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

Source: BounceWatch company record for InFlow Machine Learning, https://bouncewatch.com/company/inflow-machine-learning, updated 28 October 2024. When citing, please name BounceWatch and link this page.

Analytics cookies (ours + Google). Cookie Policy

Book a demo 30 minutes