Video Intelligence Software
Development Services

A security camera that records everything but detects nothing is a storage bill, not a security system. A retail camera that captures footfall but produces no data your operations team can act on is a missed opportunity. The gap between footage and intelligence is where we build.

We build video intelligence platforms, object detection, behaviour analysis, anomaly detection, zone analytics, for founders and CTOs who need production-ready systems, not research prototypes. 10 to 14 weeks to a system handling real camera feeds at real scale.

  • Video ingestion, AI model integration, dashboards, APIs, and cloud deployment: complete system delivered, not components you assemble

  • Multi-tenant SaaS architecture with customer isolation and per-customer analytics built in from sprint one, not retrofitted when you sign your first enterprise customer

  • Scale to 10,000+ cameras per customer with cloud-native stream processing and distributed inference

  • 10 to 14 weeks to production-ready, fixed cost agreed before work starts

Recognition

Sound familiar?

  • Security operations team spending hours reviewing footage manually every day because your detection model flags so many false positives that real incidents get buried in the queue?

  • Computer vision prototype that hit 92% accuracy in the lab but fails to meet production thresholds because the training data didn't match real-world lighting, angles, and object variation at your deployment sites?

In short

RaftLabs builds custom video intelligence platforms including AI video analytics for retail, healthcare, security, and industrial use cases, for founders and CTOs who need production-ready systems, not research prototypes. We handle video ingestion, AI model integration (object detection, behaviour analysis, anomaly detection), dashboards, APIs, and cloud deployment. Complete systems launch in 10 to 14 weeks with a clear MVP-to-market roadmap.

Companies we've built for

Vodafone
Nike
Microsoft
Cisco
T-Mobile
Aldi
Heineken
GE

Why businesses need video intelligence analytics

Global video analytics market size by 2028
~$25B
Of new security systems will include AI analytics by end of year
85%
Higher customer retention vs. traditional video surveillance
3-5x

Problems we solve in video intelligence

  1. 01
    Problem

    Your security team reviews hours of footage manually every day because your camera system records everything but detects nothing

    Solution

    Security cameras that store footage are surveillance systems. Security cameras that detect objects, behaviours, and anomalies in real time are intelligence systems. When a guard has to scrub through twelve hours of recording to find the thirty-second incident, the camera system is documentation, not prevention. According to MarketsandMarkets (2024), the global video analytics market is projected to grow from $5.9 billion in 2023 to $16.4 billion by 2028, driven by demand for real-time event detection, retail analytics, and public safety applications that manual video review cannot scale to meet. AI object detection and event triggering on defined conditions cuts that review time from hours to minutes. It also catches incidents as they happen rather than after they've occurred.

  2. 02
    Problem

    Your retail stores have cameras everywhere but your merchandising and operations decisions are still made from spreadsheets and gut feel

    Solution

    Store cameras capture customer behaviour continuously: traffic flow, dwell time by zone, queue length, shelf interaction. Almost none of that data reaches the operations team in a usable form. Footfall counters give a number. Heat maps require a consultant to interpret. When store layout decisions, staff scheduling, and product placement are made without this data, you're leaving measurable improvement on the table. A retail video intelligence platform turns existing camera infrastructure into a live operations dashboard your store managers actually use.

  3. 03
    Problem

    Your healthcare facility relies on manual observation for patient safety monitoring because your current system can't distinguish a patient getting out of bed from normal movement

    Solution

    Fall prevention in clinical settings depends on observation, which means it depends on staffing levels and human attention. When patient monitoring is manual, gaps happen during shift changes, during high-census periods, and whenever a clinician is occupied elsewhere. AI fall risk detection analyses patient movement patterns in real time and triggers an alert before a fall occurs. This cuts dependence on continuous manual observation. HIPAA-compliant video processing keeps PHI within the compliance boundary.

  4. 04
    Problem

    Your multi-tenant video SaaS is difficult to sell to enterprise customers because the architecture doesn't isolate their data or give them independent analytics

    Solution

    Enterprise buyers of video intelligence platforms have specific requirements: their camera data can't be visible to other customers, their administrators need independent dashboards, and their security team will audit the access control model. A multi-tenant architecture designed from the first sprint, with per-customer data isolation, independent analytics, and role-based access for each customer's users, is what makes a video intelligence platform sellable to enterprise. Retrofitting multi-tenancy after building for a single tenant is a rebuild, not a feature add.

Our video intelligence software development services

  1. Retail intelligence platforms

    Turn existing store cameras into real-time business intelligence.

    We build retail video analytics platforms that track customer traffic flow, dwell time by zone, queue length, and shelf interactions through a live operations dashboard. Store managers get the data to act, not a static report to file.

    Business impact: Reduce stockouts by 15 to 30%, optimise staff scheduling based on real footfall, and improve store layout using data-driven heatmaps.

    Built with: YOLOv8 object detection, computer vision heat mapping, WebRTC live streaming, and production-ready cloud infrastructure.

  2. Healthcare video intelligence

    Turn hospital camera feeds into proactive patient safety systems.

    As part of our broader healthcare software development practice, we build HIPAA-compliant video intelligence platforms that monitor patient movement, detect fall risks in real time, and automate compliance reporting. Clinical teams spend less time on manual observation and more time on care.

    Impact: Real-time fall prevention alerts, automated PPE and hygiene compliance tracking, and audit-ready activity logs.

    Built with: Edge-based AI processing, encrypted video pipelines, and role-based access controls for secure healthcare deployment.

  3. Content moderation platforms

    Scale video moderation without scaling your review team.

    We build content moderation platforms that automatically detect policy violations, explicit content, and unsafe material in real time, even at high daily upload volumes. Your reviewers handle edge cases, not the full queue.

    Impact: 90%+ automated violation detection, configurable confidence thresholds, human-in-the-loop review for edge cases, and compliance-ready audit trails.

    Built with: Multi-model classification pipelines, Amazon Rekognition, and custom fine-tuned vision models aligned to your platform policies.

  4. Guest experience monitoring

    Turn guest movement into measurable operational insights.

    As part of our hospitality software development expertise, we build video intelligence platforms for hotels, resorts, and event venues that track guest flow across lobbies, F&B areas, and event spaces. Operators reduce wait times and optimise layouts with real data, not assumptions.

    Impact: Real-time queue monitoring with staff alerts, dwell-time analysis by zone, and seasonal traffic pattern reporting.

    Built with: Multi-camera tracking, anonymized people-counting AI models, and live dashboards with configurable alerts.

  5. Security and threat detection platforms

    Move from passive surveillance to real-time threat prevention.

    We build security video intelligence platforms that detect unauthorised access, abnormal behaviour, and perimeter breaches, triggering alerts before incidents escalate. Your security team responds to confirmed events, not hours of tape.

    Impact: Real-time breach detection, crowd anomaly alerts, access control system integration, and searchable incident logs.

    Built with: Event-based detection models, RTSP/ONVIF camera integration, and edge-deployed AI with sub-second alert latency.

Frequently asked questions

A video intelligence platform processes video streams to extract actionable insights, monitor activity in real time, and provide analytics to improve safety, operations, and decision-making.

Industries such as hospitality, retail, security, smart cities, healthcare, and manufacturing can use video intelligence to tighten processes, improve safety, and gain actionable insights.

Yes, these solutions can be built to integrate with your current cameras, IoT devices, and third-party systems using standard APIs and protocols.

Yes, custom solutions can be designed to handle multiple locations, high video volumes, and increased numbers of cameras without needing a complete rebuild.

Security and privacy are integral to every solution. Solutions include encryption, access control, and privacy-focused features to protect sensitive data.

What clients say

What our clients say

Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.

Charles E.
Charles E.
USA flagUSA
Entrepreneur at Aggie Technologies

All of the sprints were completed on schedule and on budget. We highly recommend RaftLabs!

01 / 02

Case studies

Related services

  • AI Agent Development, Autonomous agents for real-time video analysis, anomaly detection, object tracking, and event-triggered response workflows
  • Custom Software Development, Custom video intelligence platforms, camera management systems, and multi-tenant analytics SaaS built for your detection requirements and scale
  • Business Process Automation, Automate alert routing, incident reporting, camera health monitoring, and compliance documentation workflows

Talk to us about your video intelligence platform.

Tell us your use case, camera scale, detection requirements, and whether you need multi-tenant SaaS architecture for enterprise customers. We'll scope the right AI and infrastructure model.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.