What is video intelligence software?

Video intelligence software processes live and recorded video with AI to detect objects, behaviours, and events in real time, then triggers alerts and analytics. It goes past storage: footage becomes searchable, measurable, and something your team can act on, instead of hours of tape nobody reviews.

Which industries use video intelligence software?

Retail, security, healthcare, hospitality, smart cities, and manufacturing use it to cut manual review, improve safety, and turn camera feeds into operational data. Retail uses it for footfall and dwell time, healthcare for fall detection, and security for real-time threat alerts.

Can it integrate with our existing cameras and systems?

Yes. We build on standard protocols like RTSP and ONVIF, so the software works with your current IP cameras, edge devices, and third-party systems through documented APIs. You keep the hardware you already run, no rip-and-replace.

How is privacy and security handled in video intelligence software?

We design for the data regime you operate under. Options include on-device edge inference so raw video never leaves your network, face and licence-plate redaction, encryption in transit and at rest, role-based access, and audit logs. Healthcare builds keep PHI inside the HIPAA boundary.

Does it scale to multiple locations and high video volumes?

Yes. We architect for your camera count and stream volume from the first design decision, with distributed stream processing and per-customer data isolation for multi-tenant products. Scale targets are set upfront, not prototyped at low camera counts and hoped to hold.

How long does custom video intelligence software take to build, and what does it cost?

A validated v1 typically launches in 10 to 14 weeks, then you iterate toward the full product. A standard build runs $30,000 to $60,000, depending on how many AI detection models you need and your scale target, meaning camera count and concurrent streams. We agree a fixed cost before work starts.

Custom video intelligence software
that turns footage into action

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

We build custom video intelligence software, object detection, behaviour analysis, anomaly detection, and zone analytics, for founders and CTOs who need production systems, not lab demos. Launch a validated v1 in 10 to 14 weeks, then grow it to real camera scale.

Video ingestion, AI inference, dashboards, APIs, and cloud deployment: one working system, not parts you assemble
Multi-tenant SaaS architecture with per-customer data isolation, designed in from day one, not retrofitted before your first enterprise deal
Architected to scale toward 10,000+ cameras per customer with cloud-native stream processing and distributed inference
Launch a validated v1 in 10 to 14 weeks at a fixed cost agreed before work starts

3+ years RetentionWeek 1 First milestoneFixed price Pricing

The problem

Sound familiar?

Security team spending hours reviewing footage 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 production thresholds because the training data never matched real-world lighting, angles, and object variation at your sites?

Short answer

Video intelligence software uses AI to turn live camera feeds into real-time detections and alerts, not stored footage. The video analytics market will reach $22.6 billion by 2028 (MarketsandMarkets, 2024). RaftLabs builds custom video intelligence software for retail, healthcare, and security: object detection, behaviour analysis, video search, and real-time alerts. Launch a validated v1 in 10 to 14 weeks.

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Why demand for video intelligence software is accelerating

Global video analytics market in 2023: $8.3B

Projected market size by 2028: $22.6B

Annual growth rate through 2028: 22.3%

Problems we solve in video intelligence

01
Problem
Your security team reviews hours of footage every day because your camera system records everything but detects nothing
Solution
Cameras that store footage are surveillance systems. Video intelligence software makes them detect objects, behaviours, and anomalies in real time. 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 $8.3 billion in 2023 to $22.6 billion by 2028, a 22.3% CAGR. The demand comes from real-time event detection, retail analytics, and public safety work that manual review cannot keep up with. AI object detection and event triggering on defined conditions cuts review time from hours to minutes. It also catches incidents as they happen rather than after.
02
Problem
Your retail stores have cameras everywhere but your merchandising and operations calls 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 need a consultant to read. When store layout, staff scheduling, and product placement decisions get made without this data, you leave measurable improvement on the table. Video analytics software turns existing camera infrastructure into a live operations dashboard your store managers actually use.
03
Problem
Your healthcare facility relies on manual observation for patient safety because your current system cannot tell 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 reads patient movement patterns in real time and triggers an alert before a fall occurs. That cuts dependence on continuous manual observation. Edge inference and HIPAA-compliant video processing keep PHI inside the compliance boundary.
04
Problem
Your multi-tenant video SaaS is hard to sell to enterprise buyers because the architecture does not isolate their data or give them their own analytics
Solution
Enterprise buyers of video intelligence software have firm requirements: their camera data cannot be visible to other customers, their admins need independent dashboards, and their security team will audit the access-control model. A multi-tenant architecture designed from day one, with per-customer data isolation, independent analytics, and role-based access for each customer's users, is what makes a video intelligence product sellable to enterprise. Retrofitting multi-tenancy after building for a single tenant is a rebuild, not a feature add.

Video intelligence software we build

Retail intelligence platforms
Turn existing store cameras into real-time business intelligence.
We build retail video analytics software that tracks customer traffic flow, dwell time by zone, queue length, and shelf interaction through a live operations dashboard. Store managers get data to act on, not a static report to file.
Business impact: Cut stockouts, staff to real footfall instead of guesswork, and improve store layout with data-driven heatmaps.
Built with: YOLOv8 object detection, computer vision video analytics, WebRTC live streaming, and production-ready cloud infrastructure.
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 software that monitors patient movement, detects fall risks in real time, and automates compliance reporting. Clinical teams spend less time on manual observation and more on care.
Impact: Real-time fall-prevention alerts, automated PPE and hygiene compliance tracking, and audit-ready activity logs.
Built with: Edge-based AI inference, encrypted video pipelines, and role-based access controls for secure healthcare deployment.
Content moderation platforms
Scale video moderation without scaling your review team.
We build content moderation software that detects 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: High automated-detection rates, 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.
Guest experience monitoring
Turn guest movement into measurable operational insights.
As part of our hospitality software development work, we build video intelligence software for hotels, resorts, and event venues that tracks guest flow across lobbies, F&B areas, and event spaces. Operators cut 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, anonymised people-counting models, and live dashboards with configurable alerts.
Security and threat detection platforms
Move from passive surveillance to real-time threat prevention.
We build security video intelligence software that detects 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 integration, and searchable incident logs.
Built with: Event-based detection models, RTSP/ONVIF camera integration, and edge-deployed AI with sub-second alert latency.

Recognition

Awards & Recognition

Champion

4.9

Top Sanity Development Company on Clutch

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5.0

Best Company To Work With by GoodFirms

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5.0

Top-rated Agency on Sortlist

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Frequently asked questions

: Video intelligence software processes live and recorded video with AI to detect objects, behaviours, and events in real time, then triggers alerts and analytics. It goes past storage: footage becomes searchable, measurable, and something your team can act on, instead of hours of tape nobody reviews.
: Retail, security, healthcare, hospitality, smart cities, and manufacturing use it to cut manual review, improve safety, and turn camera feeds into operational data. Retail uses it for footfall and dwell time, healthcare for fall detection, and security for real-time threat alerts.
: Yes. We build on standard protocols like RTSP and ONVIF, so the software works with your current IP cameras, edge devices, and third-party systems through documented APIs. You keep the hardware you already run, no rip-and-replace.
: We design for the data regime you operate under. Options include on-device edge inference so raw video never leaves your network, face and licence-plate redaction, encryption in transit and at rest, role-based access, and audit logs. Healthcare builds keep PHI inside the HIPAA boundary.
: Yes. We architect for your camera count and stream volume from the first design decision, with distributed stream processing and per-customer data isolation for multi-tenant products. Scale targets are set upfront, not prototyped at low camera counts and hoped to hold.
: A validated v1 typically launches in 10 to 14 weeks, then you iterate toward the full product. A standard build runs $30,000 to $60,000, depending on how many AI detection models you need and your scale target, meaning camera count and concurrent streams. We agree a fixed cost before work starts.

Related services

Talk to us about your video intelligence software.

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.

Useful next steps