Transform Human Activity
in Videos Into
Business Insights

Streamingo uses AI-powered video analytics to help CPG brands uncover consumer behavior insights, enables basketball teams with automated play pattern analysis from game footage, and helps enterprises achieve GDPR-compliant video data privacy.

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935.88
Million
Seconds of Video Processed
1.66
Billion
Activity Detections to Date
8.32
Billion
Activity Data Points Generated
7.33
Million
Total Videos Processed

The Problem

The Gap Between Raw Footage and Real Insight

Consumer behaviour analytics
Consumer Behaviour

A Multi-Billion Dollar Blind Spot

Enterprises spend billions of dollars every year trying to understand consumer behaviour — because it directly impacts the revenue bottom line. Yet most consumer behaviour analysis still relies on slow, manual, and incomplete methods. A significant improvement in consumer behaviour insights can unlock 8-10% in revenue growth. The AI technology to close this gap at scale has been missing — until now.

Sports team game analytics
Sports Teams

Winning Is a Data Problem

Sports teams invest heavily in game dynamics analysis to sharpen offensive and defensive strategies and improve win percentages. Better team performance doesn't just win games — it drives revenue growth and attracts top talent. However, turning hours of raw game footage into actionable sports analytics remains slow, manual, and hard to scale-until now.

Video data privacy and face redaction
Video Data Privacy

A Growing Compliance Risk

As companies scale video-based consumer and operational analysis, they also scale their exposure to privacy risk . With the advent of stricter GDPR AI regulations, need to anonymize video data and protect privacy has gone up significantly. It was practically impossible to do video data anonymization at scale - until now

Our Solution :

Transforming Human activity into Business Intelligence

Our three-stage process ensures seamless data transformation and actionable intelligence.

01
Collect | Unified Intake
We integrate seamlessly with existing camera networks.

No new hardware, no complex integration.

Result Your physical environment is now a digital sensor ready to integrate into our Operating system for intelligence
02
Structure | Behavioral Synthesis
Automatically converts unstructured pixels into a searchable Activity Map.

We identify every action in sub-seconds, mapping the "Why" behind every movement — at scale.

Result We eliminate the "Dark Data" problem. Your video is a structured, high-velocity asset ready for immediate analysis.
03
Insights | Strategic Execution
Structured validated data fed into our Insights dashboard or existing BI tools.

Move from reactive guessing to proactive, data-driven command. Real-time visibility into consumer behavior, play patterns, or operational friction.

Result You get the "Unbiased Ground Truth" needed to act while it still matters — before opportunities close or threats escalate.

How We Do It

Streamingo Core Solution Architecture

Raw Video Data Ingest
(CPG, Sports Performance)
deeplabel.app
Computer Vision Data Annotation Platform
Fizzstream
Spatio-Temporal Inference Engine
CPG
Behavior Analytics
Manufacturing
Safety and Compliance
Sports Analysis
Game Intelligence
Autonomous Systems
Behavioral Validation
Core Analytics & Visualization Platform
Actionable Insights & Dashboards

FAQ

Frequently asked questions

What is Streamingo?
Streamingo is an operating system that turns video from existing camera networks into structured behavioral data and business intelligence. It doesn't require new hardware — it integrates with cameras you already have and converts unstructured footage into a searchable Activity Map, then delivers insights through a dashboard or your existing BI tools.
What is unique about Streamingo?
Streamingo is purpose-built for spatiotemporal human activity analysis, combining data annotation (deeplabel.app), a dedicated inference engine (Fizzstream), and privacy-first anonymization into one integrated operating system rather than a single-purpose model. It integrates directly with existing camera networks, requiring no new hardware, and converts raw footage into structured, business-ready intelligence at scale.
Where does Streamingo's strengths lie in?
Streamingo excels in analysing complex computer vision problems in the domain of spatiotemporal analysis — problems in video involving space and time — researching the best possible technology required for solving the problem, and implementing and scaling the solution for enhanced business benefit.
What is so unique about Streamingo's video analysis compared to the LLMs that are commercially available today?
The LLMs available today cannot measure human activity, as they are not architected to solve the spatiotemporal aspect of video analysis. Streamingo's technology excels specifically in spatiotemporal video analysis.
What solutions and industries has Streamingo developed solutions for?
Streamingo has built solutions across three main industries: CPG, generating deep insights on consumer behavior in product-use testing; sports and competition, with real-time player tracking, tactical analysis, and performance metrics; and regulated enterprise, delivering privacy-first behavioral intelligence for healthcare, finance, and similar sectors. These are powered by its core platform components: Fizzstream, deeplabel.app, and Anonymize.
How much video has Streamingo processed so far?
Streamingo has processed over 935.60 million seconds of video, generated 8.31 billion activity data points, logged 1.66 billion activity detections, and analyzed 7.33 million total videos to date.
How does Streamingo handle data privacy and compliance?
Streamingo offers built-in, GDPR-compliant video redaction for regulated environments such as healthcare and autonomous vehicles through its Anonymize module — combining automated PII redaction and face/audio blurring so behavioral intelligence can be extracted from video while keeping the underlying data privacy-first.
How does Streamingo turn video into business intelligence?
Streamingo works in three stages: it collects video from your existing cameras, structures the footage into a searchable Activity Map using its Fizzstream inference engine, and delivers the resulting insights through a dashboard or your existing BI tools.
What is deeplabel.app?
Deeplabel.app is Streamingo's human activity data annotation platform, used to label and structure raw video data to train and validate the Fizzstream inference engine.
What is Fizzstream?
Fizzstream is Streamingo's spatio-temporal inference engine. It processes raw video and detects human activity at scale, feeding structured results into deeplabel.app for annotation and the core analytics dashboard for insights.
How does Streamingo's AI sports video analytics support basketball analysis?
Streamingo's AI sports video analytics platform performs automated tactical tracking for basketball analysis — detecting player positioning, spacing, and movement patterns in real time from existing court cameras, then feeding those activity detections into tactical dashboards for coaches and analysts.
How does Streamingo support CPG innovation?
Streamingo supports CPG innovation through consumer behavior analysis built on spatio-temporal video analysis, turning product-use testing and in-store footage into structured shopper insights — dwell time, shelf interaction, and usage patterns — that inform packaging, formulation, and go-to-market decisions.