
VMS and Video Analytics as a Service (SaaS)
A modern video surveillance system should not only ensure security but also adapt easily as a business grows. Opening new sites, connecting additional cameras, and using intelligent video analytics shouldn't require major one-time investments.
IncoreSoft SaaS offers VMS as a Service and VEZHA Video Analytics as a Service. Customers get the functionality they need with predictable monthly billing and can adjust the number of channels according to their current needs.
VMS as a Service: Monthly Subscription
IncoreSoft VMS is available as a monthly subscription — VMS as a Service. Instead of purchasing perpetual licenses, the customer regularly pays for the required number of video surveillance channels.
This format allows you to:
start using the system quickly;
avoid significant licensing costs at launch;
add new cameras and sites as the system grows;
plan video surveillance spending on a monthly basis.
A customer can start with a single site or the necessary number of cameras, then expand the system as new tasks arise.
Video Analytics as a Service: VEZHA Subscription
Alongside IncoreSoft VMS, customers can use VEZHA Video Analytics as a Service under the same subscription model. The cost of analytics is calculated monthly based on the number of connected analytics channels and the modules selected.
The subscription model allows you to:
pay for video analytics monthly;
avoid major one-time costs for perpetual licenses;
receive up-to-date versions and updates as part of the subscription;
accurately forecast VMS and video analytics costs.
This way, the customer pays for IncoreSoft VMS and VEZHA Video Analytics SaaS on a monthly basis, shaping the system configuration to match current tasks and budget.
Why SaaS Is More Cost-Effective Than Traditional Licensing
Traditional licensing requires purchasing perpetual licenses, which means significant upfront costs. SaaS spreads payments across the entire period the system is used, reducing the financial burden at launch.
The SaaS model also provides access to up-to-date software versions as part of the subscription — with no need to separately purchase a new release. This matters especially for video analytics, since the underlying algorithms are constantly improving: recognition accuracy increases, performance is optimized, and new use cases emerge.
Who the SaaS Model Is a Good Fit For
A subscription-based payment model is especially convenient for:
pilot projects;
new sites;
companies with distributed infrastructure;
retail chains (see retail solutions);
logistics and industrial enterprises (see industry solutions);
organizations planning a phased rollout.
Learn more about industry-specific scenarios in the Retail and Industry sections.
Benefits of Video Analytics as a Service
Fast Launch Without Major Investment
Traditional licensing requires purchasing perpetual licenses, which means higher upfront costs. SaaS spreads payments across the entire period the system is used, reducing the financial burden at launch.
This is especially convenient for:
pilot projects;
new sites;
companies with distributed infrastructure;
retail chains;
logistics and industrial enterprises;
organizations planning a phased rollout.
A customer can quickly launch the functionality they need, evaluate its effectiveness, and expand the system further.
Automatic Updates
The SaaS model provides access to up-to-date software versions as part of the subscription. Customers receive updates, feature improvements, and continued system development without having to separately purchase a new software version.
This is especially important for video analytics, since algorithms are constantly improving: recognition accuracy increases, performance is optimized, and new use cases emerge.
Predictable Costs: CAPEX vs OPEX
IncoreSoft SaaS provides a clear budgeting model. Cost depends on the number of VMS channels and the video analytics modules connected.
Customers can calculate monthly costs in advance, keep them under control, and adjust the system configuration according to current needs.
One of the key advantages of SaaS is also its financing structure:
purchasing perpetual licenses is usually classified as capital expenditure — CAPEX;
a monthly subscription is usually classified as operating expenditure — OPEX.
Moving from large one-time capital investments to regular operating payments helps distribute costs more evenly and simplifies budget planning. That said, the exact accounting classification depends on contract terms, applicable regulations, and a company's accounting policy.
A Single Subscription for Modern Video Surveillance
IncoreSoft SaaS combines VMS and VEZHA Video Analytics in a flexible subscription model. Customers get:
VMS as a Service on a monthly subscription;
VEZHA Video Analytics as a Service;
fast launch without major upfront investment;
easy connection of new cameras and sites;
automatic updates;
predictable operating costs.
IncoreSoft SaaS: professional VMS and intelligent VEZHA video analytics with flexible billing, up-to-date functionality, and the ability to grow the system as your business needs evolve.
Ready to calculate subscription pricing for your project? Contact our team.
Frequently Asked Questions
How much does VMS as a Service cost?
Cost depends on the number of VMS channels and VEZHA video analytics modules connected — the customer pays only for the configuration they need and can change it every month.
How is the SaaS model different from buying a license?
Instead of a one-time purchase of a perpetual license (CAPEX), the customer makes a regular monthly payment (OPEX), which lowers upfront costs and provides flexibility when scaling the system.
Can the subscription configuration be changed over time?
Yes. The number of channels, sites, and VEZHA modules can be increased or decreased according to the business's current needs.
Is video surveillance SaaS classified as CAPEX or OPEX?
A monthly subscription is typically classified as operating expenditure (OPEX), while purchasing perpetual licenses is classified as capital expenditure (CAPEX). The exact classification depends on a company's accounting policy and contract terms.
Read also

AI Surveillance for Smart Cities: Real-World Applications
That's the paradox of AI surveillance in smart cities — it's simultaneously the thing that makes urban life safer and the thing that keeps privacy advocates up at night.

Video Analytics Latency
Video analytics latency is the elapsed time between an event occurring in front of the camera and the system producing a result (alert, metadata, decision). In critical-response applications — weapons, fires, falls, intrusions — latency directly affects outcomes. Leading platforms target under 50 ms for edge-deployed analytics.

Retail Video Analytics
Retail video analytics is the application of AI video analysis to store cameras to extract operational and customer insight — footfall, heat maps, conversion rates, queue lengths, demographics, and loss prevention — turning existing surveillance infrastructure into one of the richest data sources in a retail business.
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