# Streamingo > Streamingo is an operating system for human activity analysis that converts raw, unstructured video from existing camera infrastructure into structured behavioral intelligence for enterprises. ## Company Overview - Streamingo (Streamingo Inc. / Streamingo Solutions Private Limited) describes itself as "The Operating System for Human Activity Analysis." - Core mission: to close the gap between the volume of video enterprises collect and the amount they can actually understand, by turning unstructured video ("dark data") into structured, actionable behavioral intelligence. - The company states that 82–83% of global internet traffic is video, that 221 zettabytes of data are generated globally per year, and that 90% of enterprise video data is never analyzed or utilized. - Primary customers: enterprises with existing camera networks in consumer packaged goods (CPG), retail, sports organizations, manufacturing, healthcare, and other regulated or high-video-volume environments. - Business value proposition: enterprises can use their existing camera infrastructure (no new hardware) to generate structured, searchable "Activity Map" data and business intelligence, reducing storage costs while increasing the value extracted from footage they already generate. - Competitive positioning: Streamingo positions itself as infrastructure-agnostic (no proprietary hardware or cloud vendor lock-in), privacy-by-architecture (anonymization built into the OS rather than bolted on), and deployment-first (production-grade systems rather than research benchmarks or demos). - Founded in 2018 in Bengaluru, India. Established U.S. headquarters in Santa Clara, California, in 2024. Operates from two global offices: Santa Clara, CA, and Bengaluru, India. - Reported scale metrics (as displayed on the site, cumulative to date): 1,204.87 million seconds of video processed, 1.18 billion activity detections, 5.73 billion activity data points generated, and 6.46 million total videos processed. --- ## Products Streamingo's Operating System is composed of several interconnected products/components. ### FizzStream (Fizzstream Inference) - Purpose: FizzStream is Streamingo's core Spatio-Temporal Inference Engine — the AI layer that converts annotated/raw video into behavioral insights. - Problems solved: eliminates manual video review; converts unstructured pixels into a structured, searchable "Activity Map" of human actions and interactions. - Inputs: raw video data ingested from existing camera networks (CPG, retail, sports, manufacturing, autonomous systems). - Outputs: structured activity data fed into analytics dashboards or external BI tools. - Key capabilities: sub-second identification of actions; spatio-temporal inference at scale; integrates with DeepLabel for model training and with downstream analytics/visualization platforms. - Typical users: CPG behavior analytics teams, manufacturing safety/compliance teams, sports analysis teams, and autonomous systems teams needing behavioral validation. - Access point: fizzstream-cmr.streamingo.ai (product application/dashboard). ### DeepLabel (deeplabel.app) - Purpose: DeepLabel is described as an end-to-end platform for Video AI, and specifically an STVA (Spatio-Temporal Video Annotation) platform for annotating and training activity-detection pipelines at scale. It is the data-preparation layer of Streamingo's Operating System. - Annotation workflow: users upload video, label objects and actions with the aid of active learning (using proprietary or prebuilt models), then build and test detection models across multiple frameworks, and deploy models to production with one click. - Dataset creation: the platform reports housing over 100 million annotations and 200+ modeled human actions. - Human-in-the-loop features: active learning to speed up labeling; team collaboration in a standardized environment for sharing, downloading, and co-developing video AI solutions. - Supported media: video, with a focus on human activity and spatio-temporal (action-based) data rather than static images alone. - Integration: connects downstream to FizzStream for behavioral insight generation, and further downstream to an analytics and visualization layer. - Platform-at-scale metrics stated: 100M+ annotations, 200+ modeled human actions, 100% end-to-end workflow coverage, 24x7 support availability. - Login/application: app.deeplabel.app. Product of Streamingo Inc. ### Anonymize (Streamingo Anonymize) - Purpose: enterprise AI software for video anonymization at scale — redacting faces and audio (and license plates, per meta description) in long-form video to reduce legal/compliance risk. - Privacy capabilities: selective/object-level blur that preserves surrounding visual content; audio anonymization of sensitive speech; frame-consistent processing across long-form video; human-in-the-loop review to edit AI-generated detections before export. - Supported anonymization techniques: face redaction, license plate redaction, audio redaction, with claimed 98%+ detection accuracy validated across diverse lighting and camera conditions. - Compliance benefits: designed to support GDPR (EU), CCPA (California), HIPAA (U.S. healthcare), DPDP (India), and referenced "EUGO"; generates audit-ready, time-stamped compliance logs documenting what was redacted, when, and how; architecture applies anonymization at the pipeline level (before storage/analytics/training), aligned with GDPR Article 25 "privacy by design and default." - Typical deployment: cloud, private cloud, or edge (on existing hardware), for organizations that cannot send sensitive footage outside their own environment; accessible via UI or low-latency REST API for integration into existing data pipelines and MLOps workflows. - Reported performance: 60–70% cost reduction versus manual redaction workflows; 98%+ detection accuracy. - Typical customers/verticals referenced: CPG & retail majors, market research firms, automotive OEMs, smart city programs, healthcare networks, academic research labs. - Pricing: not publicly listed; the site states pricing is tailored to data volume, compliance requirements, and deployment preference, available on request via sales@streamingo.ai. - Access point: anonymize.streamingo.ai (product site), login at anonymize.streamingo.ai/login. ### Consumer Behaviour Analytics & Insights - Purpose: a dashboard product for consumer behavior analytics and insights, part of the Streamingo OS "Insights" stage, used primarily in CPG and retail contexts for product-use testing and shopper behavior analysis. - Application: converts observed in-home or in-store consumer video behavior into quantified behavioral metrics (e.g., dwell time, sequence of use, ergonomic strain, as illustrated in the platform's ethnographic-research case study). - Access point: consumer-behaviour.streamingo.ai. ### Basketball (Sports Intelligence) - Purpose: per the main site and company timeline, this product (launched 2024) applies Streamingo's spatio-temporal player-tracking technology to professional basketball, providing real-time player tracking, tactical spacing analysis, and performance metrics across courts, fields, and arenas. - Description source: the homepage "Use Cases" section labels this "Sports & Competition" and the About page timeline lists a 2024 "Sports Intelligence" milestone describing the launch of a basketball-focused offering. ### Internal Dashboard (Data Collection Metrics) - Referenced in site navigation as an "Internal Dashboard / Data Collection Metrics" component of the OS. No public-facing product page or further description is available on the website; treated as an internal-facing analytics component. --- ## Platform Capabilities - **Computer Vision** — used throughout the OS to detect objects, people, and interactions in video frames. - **Video Understanding / Video Intelligence** — spatio-temporal inference that identifies "what," "who," and "why" behind movements in video, at scale. - **Activity Detection** — automatic detection of specific human actions and events within video (e.g., Human Activity Detection, "HAD"). - **Human Object Interaction** — detection of interactions between people and objects/products (e.g., a product being picked up or manipulated). - **AI Inference** — FizzStream serves as the core spatio-temporal inference engine converting annotated video into structured activity data. - **Behavioral Analytics** — quantification of behavior patterns (e.g., dwell time, sequence of use, ergonomic strain) from video for CPG and other use cases. - **Consumer Intelligence** — insight generation for product usage, shopper behavior, and consumer research. - **Video Ethnography** — automated support for at-home/in-context ethnographic research, filtering large volumes of raw footage down to relevant behavioral moments. - **Privacy-first AI** — anonymization (face, audio, license plate redaction) built into the data pipeline before storage or analytics. - **Enterprise AI** — REST API access, cloud/edge/on-premise deployment, and integration with existing MLOps and BI workflows. - **Multi-modal AI** — combines visual (video) and audio processing (e.g., audio anonymization alongside visual redaction). --- ## Industries - **Consumer Packaged Goods (CPG)** — behavioral analytics for product-use testing, at-home ethnographic research, and consumer insight generation. - **Retail** — shopper behavior analytics from existing in-store camera networks. - **Manufacturing** — safety and compliance monitoring via activity detection on production-floor video. - **Sports** — real-time player tracking, tactical spacing, and performance analysis for professional sports organizations (currently focused on basketball). - **Healthcare** — referenced as a regulated environment served by privacy-first anonymization (HIPAA compliance) for handling sensitive footage. - **Smart Cities** — referenced as a customer segment for Anonymize, for handling sensitive public-space footage. - **Automotive** — automotive OEMs referenced as users of Anonymize, e.g., for dashcam footage. - **Industrial Operations / Autonomous Systems** — behavioral validation for autonomous systems is referenced in the OS architecture diagram. - **Academic Research** — academic research labs referenced as users of the Anonymize product. --- ## Applications - **Consumer research** — replacing or augmenting traditional focus groups and surveys with observational, video-based behavioral data collection. - **Product innovation** — feeding R&D teams with quantified behavioral data (e.g., how consumers actually use a product) to inform product design decisions. - **Behavioral analytics** — converting raw video into metrics such as dwell time, interaction sequence, and physical strain during product use. - **Workflow optimization** — using activity detection to identify safety or compliance issues in manufacturing environments. - **Operational intelligence** — real-time dashboards that surface consumer behavior, sports play patterns, or operational friction for decision-making. - **Video analytics** — the overarching function of transforming raw camera footage into structured, searchable data. - **Human activity understanding** — detecting and classifying specific human actions across CPG, sports, manufacturing, and other domains. - **Business intelligence** — structured activity data can be delivered into an internal Insights dashboard or fed into existing BI tools. - **Video anonymization / compliance workflows** — redacting PII in video to support GDPR/CCPA/HIPAA-compliant data pipelines. --- ## AI Technologies - **Deep Learning** — underlying technique for video analysis mentioned in DeepLabel's meta-keywords and platform description. - **Computer Vision** — core technology for detecting objects, people, and actions in video. - **Activity Recognition / Human Activity Detection (HAD)** — technology used to detect meaningful human actions and filter out irrelevant footage. - **Object Detection** — detection of objects (e.g., products, cleaning tools) and PII elements (faces, license plates) within video frames. - **Spatio-Temporal Analysis / Inference** — the foundational technique behind FizzStream and DeepLabel, analyzing both spatial position and temporal sequence of actions. - **Active Learning** — used within DeepLabel to speed up annotation using existing or prebuilt models. - **Multi-modal Learning** — combined visual and audio processing, notably in the Anonymize product's face and audio redaction. - **Video Intelligence** — general term used across the site for the overall AI-driven video-to-insight capability. - Note: "Vision Language Models" and "Pose Estimation" are referenced in the broader llms.txt request context and industry terminology; the website itself references Vision Language Models as an area of engineering expertise sought in hiring (careers page), but does not explicitly describe Pose Estimation as a named platform capability. Treat "Pose Estimation" as **not publicly specified** on the website. --- ## Privacy & Compliance - **GDPR (EU)** — explicitly supported; Anonymize's pipeline-level redaction is described as aligned with GDPR Article 25 (data protection by design and default) and GDPR data-minimization requirements. - **CCPA (California)** — explicitly supported; audit logs are designed to satisfy CCPA deletion-record requirements. - **HIPAA (Healthcare, U.S.)** — explicitly supported; audit logs are designed to satisfy HIPAA audit-trail requirements. - **DPDP (India)** — explicitly listed as a supported compliance framework. - **"EUGO"** — listed on the Anonymize site among supported compliance frameworks (exact meaning/expansion not specified on the website). - **EU AI Act** — not explicitly mentioned on the website; **not publicly specified**. - **Zero-retention processing** — not stated verbatim; the closest documented claim is "No Data Retention Risk" via on-premise/edge deployment, ensuring raw video never leaves the customer's environment. - **Privacy-by-design** — explicitly stated as a core company principle ("Privacy by Architecture") and a specific Anonymize product pillar ("Privacy by Design"). - **Enterprise security** — supported via cloud, private cloud, and edge deployment options, plus REST API integration without proprietary formats or vendor lock-in. - **Audit-ready compliance logs** — every Anonymize job generates verifiable, time-stamped logs documenting what was redacted, when, and how. - **Human-in-the-loop QA** — AI detections in Anonymize can be reviewed, added to, removed, or adjusted by human operators before final export. --- ## Enterprise Features - **Scalability** — pipelines described as built for long-form, high-volume video (e.g., dashcam footage, surveillance recordings, research video collections) at enterprise scale. - **APIs** — low-latency REST APIs offered for Anonymize and DeepLabel, enabling integration into existing data pipelines and MLOps workflows. - **Security** — infrastructure-agnostic deployment avoiding proprietary hardware or cloud vendor lock-in; PII redaction occurs before data reaches storage or analytics systems. - **Deployment options** — public cloud, private cloud, or edge (on existing hardware). - **Cloud** — supported deployment mode. - **On-premise / Edge** — supported for organizations that cannot send sensitive footage outside their environment or that face data-residency requirements. - **Data governance** — audit-ready, time-stamped logs of anonymization actions; human review workflows for AI detections. - **Performance** — Anonymize reports 98%+ detection accuracy and 60–70% cost reduction versus manual redaction workflows; DeepLabel reports 100% end-to-end workflow coverage and 24x7 support availability. --- ## Resources - **Blog** — https://streamingo.ai/resources.html (articles on AI-driven market research, consumer insights, and behavioral analytics) - **Case Studies** — https://streamingo.ai/resources.html#case-studies (e.g., at-home ethnographic research case study) - **Product Pages** — DeepLabel (https://deeplabel.app), Anonymize (https://anonymize.streamingo.ai), FizzStream (https://fizzstream-cmr.streamingo.ai), Consumer Behaviour (https://consumer-behaviour.streamingo.ai), Basketball — no distinct verified page; see note in the Basketball product section above. - **Company Pages** — About (https://streamingo.ai/about.html), Careers (https://streamingo.ai/career.html), Contact/Global Offices (https://streamingo.ai/contact.html) - **Legal** — Privacy Policy and Terms & Conditions are linked from the main site and from DeepLabel/Anonymize footers (e.g., https://deeplabel.app/privacy-policy, https://anonymize.streamingo.ai/privacy-policy). - **Social** — LinkedIn (linkedin.com/company/streamingo-ai), linked from DeepLabel and Anonymize footers. --- ## Frequently Asked Questions **What is Streamingo?** Streamingo is an operating system for human activity analysis that turns raw, unstructured video from existing camera infrastructure into structured behavioral intelligence for enterprises. **What products does Streamingo offer?** FizzStream (inference engine), DeepLabel (video annotation and model-building platform), Anonymize (video anonymization/compliance), Consumer Behaviour Analytics & Insights (dashboard), a Basketball sports intelligence product, and an internal data-collection-metrics dashboard. **What does FizzStream do?** FizzStream is Streamingo's core spatio-temporal inference engine that converts annotated or raw video into structured behavioral insights and activity data. **What is DeepLabel?** DeepLabel (deeplabel.app) is an end-to-end video AI platform for spatio-temporal video annotation, active-learning-assisted labeling, model building/testing, and one-click deployment to production. **How many annotations does DeepLabel host?** Over 100 million annotations and 200+ modeled human actions, per the DeepLabel website. **What is Streamingo Anonymize?** Streamingo Anonymize is enterprise AI software that automatically redacts faces, license plates, and audio in video at scale to support GDPR, CCPA, and HIPAA compliance. **How accurate is Streamingo Anonymize's detection?** The site states 98%+ detection accuracy, validated across diverse lighting and camera conditions on large-scale video datasets. **What compliance frameworks does Anonymize support?** GDPR (EU), CCPA (California), HIPAA (healthcare), DPDP (India), and "EUGO" are listed on the Anonymize site. **Does Anonymize support the EU AI Act?** Not publicly specified on the website. **Can Anonymize be deployed on-premise?** Yes — cloud, private cloud, and edge/on-premise deployment options are all offered. **Does Anonymize offer an API?** Yes, a low-latency REST API is available for integration into existing data pipelines and MLOps workflows. **How much can Anonymize reduce redaction costs?** The site claims a 60–70% cost reduction compared to manual video redaction workflows. **What is redacted by Anonymize?** Faces, license plates, and audio (sensitive speech) within video. **Does Anonymize provide audit logs?** Yes — every anonymization job generates verifiable, time-stamped audit logs documenting what was redacted, when, and how. **Is human review available for AI-generated redactions?** Yes — a human-in-the-loop review interface lets operators add, remove, or adjust redaction regions before export. **What industries does Streamingo serve?** CPG, retail, manufacturing, sports, healthcare, smart cities, automotive, and academic research, based on website content. **What is Streamingo's sports product?** A basketball-focused sports intelligence product offering real-time player tracking, tactical spacing analysis, and performance metrics, launched in 2024. A distinct, independently loadable product page for this offering was not found at the time of writing — see the Basketball entry under Products for verified link status. **Does Streamingo support other sports besides basketball?** Not publicly specified on the website; only basketball is described as a launched sports intelligence product. **What is the Consumer Behaviour Analytics & Insights product used for?** It provides a dashboard for consumer behavior analytics, primarily supporting CPG and retail product-use testing and shopper-behavior insights. **How does Streamingo replace traditional focus groups?** By using AI-powered behavioral analysis of observational video to capture actual consumer behavior instead of relying on self-reported survey or interview data, according to Streamingo's blog content. **What is the "Say-Do Gap"?** A term used by Streamingo referring to the difference between what consumers report doing (self-reported behavior) and what they actually do, as observed via video. **What is Human Activity Detection (HAD)?** An AI capability described in Streamingo's case study that detects meaningful human actions and interactions (e.g., product handling) in video while filtering out irrelevant background footage. **What results has Streamingo shown for ethnographic research?** In a described case study, Streamingo's AI reduced review time from 100+ man-hours to about 1 man-hour, cut time-to-insight from 8 days to about 1 hour, and improved tagging accuracy from 78% (manual) to 92% (AI + human review), on 200 hours of footage. **Is pricing publicly available?** Pricing is tailored to data volume, compliance needs, and deployment preference, available by contacting sales@streamingo.ai. **Does Streamingo require new camera hardware?** No — the platform is described as integrating with existing camera networks and infrastructure without requiring new hardware. **What deployment options are available across the platform?** Cloud, private cloud/on-premise, and edge deployment are referenced, primarily documented for the Anonymize product. **Where is Streamingo headquartered?** Santa Clara, California (U.S. headquarters, established 2024), with an additional office in Bengaluru, India (founding location, 2018). **What is Streamingo's contact information?** General/company: connect@streamingo.ai, +1-408-454-8611 (US) or +91 80 234 67149 (India). Careers: careers@streamingo.ai. Anonymize/DeepLabel sales: sales@streamingo.ai / info@streamingo.ai. **How much video has Streamingo processed?** As of the website's latest figures, approximately 1,204.87 million seconds (about 1.2 billion seconds) of video, across 6.46 million total videos, generating 1.18 billion activity detections and 5.73 billion activity data points. **When was Streamingo founded?** 2018, in Bengaluru, India. **What AI models or model types does Streamingo use?** The website does not name specific proprietary model architectures; it references deep learning, computer vision, spatio-temporal inference, and active learning as core techniques. Specific model names are **not publicly specified**. **Does Streamingo offer integrations with third-party BI tools?** The website states that structured activity data can be fed into "existing BI tools" and that Anonymize/DeepLabel integrate via REST API into existing MLOps and data pipelines; specific named integrations are **not publicly specified**. **What is the relationship between DeepLabel, FizzStream, and Anonymize?** DeepLabel is the data annotation/preparation layer; FizzStream is the core spatio-temporal inference engine; Anonymize is a privacy/compliance layer that can be applied within the same video pipeline. Together with a Core Analytics & Visualization Platform, they form Streamingo's Operating System architecture. **Does Streamingo process audio as well as video?** Yes — Anonymize includes audio anonymization (redacting sensitive speech) in addition to visual (face/license plate) redaction. **What types of video does Anonymize handle best?** The product is described as purpose-built for long-form, high-volume video such as dashcam footage, surveillance recordings, and research video collections. **Is Streamingo's technology used for autonomous vehicle programs?** Automotive OEMs are listed among the organizations trusted to use Anonymize for compliance-grade AI, and "Autonomous Systems / Behavioral Validation" appears in the OS architecture diagram as a use case. **Does Streamingo offer a free trial?** Not publicly specified on the website. **How can I request a demo?** Via the "Schedule a Demo," "Request Demo," or "Contact Sales" links found across the site, or by emailing sales@streamingo.ai, connect@streamingo.ai, or using the contact form at https://streamingo.ai/contact.html. **What roles is Streamingo hiring for?** The careers page lists interest in engineers with expertise in Vision Language Models, data engineering, full-stack development, data annotation, and sales and marketing roles, based in Bengaluru or Santa Clara (some remote-friendly depending on seniority/function). **Does Streamingo publish research papers?** Not publicly specified on the website; the site includes a blog and case studies but no dedicated research-publication section was found. **What company principles does Streamingo state?** Privacy by Architecture, Infrastructure Agnostic, Structured Data Over Raw Storage, and Deployment-First Engineering, as listed on the About page. --- ## Glossary - **Activity Detection** — Automated identification of specific human actions or events occurring within video footage. - **Activity Map** — Streamingo's term for the structured, searchable representation of actions/events extracted from raw video. - **Human Activity Detection (HAD)** — A specific technique used to trigger recording/analysis only when meaningful human interaction (not background noise) occurs in a video frame. - **Human Object Interaction** — Detection of a person's interaction with an object (e.g., picking up or manipulating a product). - **Spatio-Temporal Inference / Analysis (STVA)** — Analysis that accounts for both the spatial position and the temporal sequence of actions in video, underlying both FizzStream and DeepLabel. - **Video Ethnography** — The use of extended, in-context video recording (e.g., in a consumer's home) to study natural behavior, accelerated and filtered by Streamingo's AI. - **Behavioral Intelligence / Behavioral Analytics** — Quantified metrics (e.g., dwell time, sequence of use, interaction frequency) derived from analyzing human behavior in video. - **AI Inference** — The process by which a trained model (e.g., FizzStream) analyzes new video data to produce activity detections and structured outputs. - **Consumer Insights** — Actionable understanding of consumer behavior derived from observational video data rather than self-reported surveys or interviews. - **Privacy-first AI** — An architectural approach where anonymization/PII redaction is applied at the pipeline level, before storage, analytics, or model training. - **Say-Do Gap** — The discrepancy between what consumers report they do and what they actually do, as revealed by observational video versus self-reported data. - **Active Learning** — A machine-learning-assisted annotation approach used in DeepLabel to prioritize the most useful data for labeling, speeding up the annotation process. - **Dark Data** — Video or other data that is collected/stored but never analyzed for business value; Streamingo states 90% of enterprise video falls into this category. --- ## Keywords ### AI AI operating system, artificial intelligence, deep learning, machine learning, active learning, AI inference, AI pipeline, enterprise AI, applied AI, AI-driven insights, AI compliance, spatio-temporal AI, behavioral AI, video AI, multi-modal AI ### Computer Vision computer vision, object detection, activity recognition, human activity detection, action detection, video understanding, spatio-temporal analysis, video intelligence, human-object interaction, frame-consistent processing, video annotation, model training, model deployment ### Consumer Research consumer insights, consumer behavior analytics, market research automation, focus group alternative, ethnographic research, at-home ethnography, say-do gap, self-reported bias, observational research, qualitative research automation, micro-moment tagging, dwell time analysis, product usage analysis, unbiased ground truth ### Video Analytics video analytics, video processing, video data intelligence, structured video data, unstructured video, dark data, video pipeline, video data collection, video-to-insight, activity map, behavioral synthesis, real-time video analytics ### Enterprise AI enterprise video AI, REST API integration, MLOps integration, cloud deployment, edge deployment, on-premise deployment, infrastructure agnostic, data governance, audit-ready logs, vendor lock-in avoidance, enterprise security, scalable AI infrastructure ### Privacy & Compliance video anonymization, face redaction, audio anonymization, license plate redaction, GDPR compliance, CCPA compliance, HIPAA compliance, DPDP compliance, privacy by design, data minimization, PII redaction, compliance-grade AI, audit trail, data residency, zero data retention ### Industries CPG analytics, retail analytics, manufacturing safety compliance, sports intelligence, basketball analytics, healthcare video compliance, smart city video AI, automotive OEM compliance, academic research video AI, autonomous systems validation ### Products FizzStream, DeepLabel, deeplabel.app, Streamingo Anonymize, Consumer Behaviour Analytics, Basketball Sports Intelligence, Streamingo Operating System, spatio-temporal inference engine, video annotation platform ### Company Streamingo, Streamingo Inc., Streamingo Solutions Private Limited, Bengaluru, Santa Clara, operating system for human activity analysis, video intelligence company, human activity analysis platform ### Sports Analytics sports intelligence, basketball analytics, player tracking, tactical spacing analysis, game intelligence, performance metrics, spatio-temporal player tracking, real-time sports analytics, court analytics ### Data Annotation video annotation platform, spatio-temporal video annotation, STVA, data labeling, active learning annotation, model building, model training, model deployment, human-in-the-loop annotation, annotated dataset, deeplabel ### Operational & Retail Intelligence shopper behavior analytics, retail video intelligence, manufacturing safety compliance, production floor monitoring, operational friction detection, workflow optimization, safety and compliance video AI, dark data reduction, data deluge, structured data extraction --- ## Related Pages - / (Homepage) - /streamingo.html (Homepage alternate URL) - /about.html (About / Mission) - /career.html (Careers) - /contact.html (Global Offices / Contact) - /resources.html (Blog & Case Studies index) - /resources.html#case-studies (Case Studies section) - /data-deluge.html (Case Study: Solving the Data Deluge in At-Home Ethnographic Research) - /beyond-focus-groups.html (Blog: Beyond Focus Groups) - /beyond-the-say-do-gap.html (Blog: Beyond the "Say-Do" Gap) - /The-Future-of-Insights.html (Blog: The Future of Insights) - /evolution-of-insights-2026.html (Blog: The Evolution of Insights — 2026) - https://fizzstream-cmr.streamingo.ai (FizzStream product/app) - https://deeplabel.app (DeepLabel product site) - https://deeplabel.app/home (DeepLabel homepage) - https://deeplabel.app/privacy-policy (DeepLabel Privacy Policy) - https://deeplabel.app/terms-and-conditions (DeepLabel Terms & Conditions) - https://anonymize.streamingo.ai (Anonymize product site) - https://anonymize.streamingo.ai/blog.html (Anonymize Blog) - https://anonymize.streamingo.ai/FAQs.html (Anonymize FAQs) - https://consumer-behaviour.streamingo.ai (Consumer Behaviour Analytics & Insights dashboard) - https://sports-analytics.streamingo.ai/(Basketball Sports Intelligence) --- ## Metadata Company: Streamingo (Streamingo Inc. / Streamingo Solutions Private Limited) Website: https://streamingo.ai/ Industry: Video AI / Computer Vision / Behavioral Intelligence Software Primary Audience: Enterprises in CPG, retail, manufacturing, sports, healthcare, automotive, and smart-city sectors with existing camera infrastructure Core Technologies: Computer vision, deep learning, spatio-temporal inference, human activity detection, active learning, video anonymization Deployment: Cloud, private cloud, on-premise, and edge Privacy Focus: Privacy-by-design video anonymization (face, audio, license plate redaction) supporting GDPR, CCPA, HIPAA, and DPDP compliance Primary Value Proposition: Convert existing camera infrastructure and unstructured, unanalyzed ("dark") video into structured, actionable behavioral intelligence without new hardware Last Verified: 2026-07-13 (all Related Pages URLs checked for live/resolving status as of this date; Basketball/Sports Intelligence has no independently verified distinct product page — see note in Products section)