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DeepCam

Security · Wuhan, China · Founded 2015

DeepCam is a Chinese computer vision company MoreLess

DeepCam operates in the artificial intelligence and security sector, providing a specialized platform for retail and banking clients to mitigate loss. Founded by Don Knasel, the company emerged from a three-year stealth period in April 2018 to launch its flagship product, "Retail by DeepCam". The firm is headquartered in Longmont, Colorado, and leverages a team with extensive collective experience in artificial intelligence.

The core of DeepCam's business is a plug-and-play system designed to reduce retail shrink and operational expenses. It utilizes a proprietary biometric-enhanced recommendation engine that identifies shoplifting and other suspicious activities. The technology is engineered to perform accurately with large populations, a significant challenge in biometric security. It employs several proprietary technologies, including biometric identification for large crowds, behavior analytics, cross-camera event association to track movement, and multi-location data analytics. The system flags individuals for review by loss prevention personnel, who can then tag known shoplifters. Upon their return to a store, the system notifies employees, enabling them to intervene.

Beyond loss prevention, the platform provides broader retail intelligence. Clients can analyze data on customer demographics, shopping habits, queue wait times, and the number of customers at specific times, which can be used for merchandising and operational improvements. DeepCam's system is capable of capturing faces in challenging conditions, such as variable lighting, complex backgrounds, and from a distance or at an angle. To make the technology accessible, the company offers its platform as a subscription service, which includes hardware and any subsequent upgrades, thereby removing significant upfront capital expenditure for its clients.

Keywords: loss prevention, retail security, biometric identification, facial recognition, behavior analytics, retail analytics, shoplifting detection, asset protection, security technology, video surveillance, AI security, multi-location retail, operational intelligence, shrink reduction, subscription security service, cross-camera tracking, suspicious behavior detection, retail data, customer analytics, security as a service

Company overview

DeepCam company information

The essential company record, classifications and operating signals in one place.

Status
Operational
Founded
2015
Headquarters
Wuhan, China
Employees
Open positions
None listed
Dealroom signal
23.0
client focusb2btechnologyArtificial IntelligencetechnologyHardwaretechnologyDeep TechtechnologyMachine LearningtechnologyComputer VisiontechnologyRecognition Technologysub industryPublic safetyindustrySecuritysectorConsumer ElectronicssectorImage RecognitionsectorFace RecognitionsectorHard TechsectorDT and LS

Valuation & funding

DeepCam funding history

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
SERIES AEquity / VC Dec 2017 $20M $80M Undisclosed
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Growth signals

DeepCam website traffic

Latest recorded traffic for DeepCam is 670 monthly website visits, down 21.2% over the last three months.

Latest monthly visits670 3-month web change-21.2%
Monthly website visits33 observations · Dec 2018–Jul 2026
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Comparisons

DeepCam compared with similar companies

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Talent graph

DeepCam's talent

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Potential founders Hidden — book a demo likely future founders
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Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Where DeepCam has talent and traffic

Workforce by country
🇨🇳 China · Wuhan HQ
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In the news

Latest news about DeepCam

Recent press, funding announcements, and product moves mentioning DeepCam — open to read from the original sources.

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Market sentiment

What the market is saying about DeepCam

An AI-synthesized read of the highest-engagement posts about DeepCam on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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