For years, artificial intelligence in video analytics has promised transformation, improved safety, better compliance and sharper operational insight. In practice, however, large-scale deployments have often stalled. Custom configurations, long tuning cycles and high costs have limited adoption, particularly across distributed estates where consistency matters more than novelty.
That tension between promise and practicality is now shaping the next phase of AI-video analytics. This week, Ipsotek, an Eviden company, announced the launch of VISuite Core, a platform designed explicitly to remove the friction that has held back scalable deployments. Rather than expanding the breadth of features, the company has narrowed its focus, standardising a curated set of capabilities aimed at delivering measurable return on investment, regulatory compliance and operational consistency.
The move reflects a broader shift in enterprise AI. As organisations move beyond pilots, success increasingly depends less on technical sophistication and more on repeatability, cost control and governance.
From configuration-heavy AI to repeatable deployment
One of the defining characteristics of earlier video analytics platforms was their dependence on bespoke configuration. Models were tuned site by site, workflows customised for individual customers and deployments often required extensive consultancy. While this approach delivered tailored results, it proved difficult to scale, particularly across hundreds or thousands of locations.
VISuite Core takes a different approach. It removes layers of configuration in favour of a pre-defined capability set informed by analysis of real-world operating environments. By prioritising standardised, high-value use cases over custom builds, Ipsotek is positioning AI-video analytics as infrastructure rather than experimentation.
At the heart of this strategy is the use of generative AI to automate configuration. Instead of manual tuning, VISuite Core applies generative techniques to accelerate deployment and ensure consistency across sites. The result, according to Ipsotek, is a plug-and-play model suited to distributed estates and partner-led rollouts, where speed and reliability outweigh marginal gains from bespoke optimisation.
This design choice also reflects a recognition that many organisations already have extensive video infrastructure in place. The challenge is not adding more cameras or more complex models, but extracting value from what already exists without inflating costs.
ROI and compliance take centre stage
The emphasis on return on investment is deliberate. Video analytics has often struggled to demonstrate clear financial impact beyond narrow security use cases. VISuite Core is structured around sector-specific workflows designed to produce actionable alerts and operational insights with tangible outcomes.
The platform includes purpose-built dashboards and reporting tools intended to support compliance and performance monitoring, areas where organisations increasingly face regulatory scrutiny. As AI systems become embedded in environments such as schools, energy infrastructure and public-facing facilities, the ability to demonstrate consistent operation and auditability is becoming as important as detection accuracy.
Ipsotek has also simplified the user experience. A streamlined interface is designed to reduce training requirements and make day-to-day operation accessible to non-specialists. This is a critical consideration for large estates where analytics systems are often managed by operational teams rather than dedicated AI experts.
Targeting scale before breadth
VISuite Core is being introduced initially in sectors where consistency across multiple locations is essential. These include petrol filling stations, where safety and regulatory compliance are central; schools and educational institutions, where safeguarding and situational awareness are growing concerns; and energy and utilities, where assets are widely dispersed and often high risk.
The choice of these sectors is instructive. In each case, the value of AI-video analytics depends less on edge-case intelligence and more on reliable, repeatable performance across many sites. A single misconfigured system can undermine trust in the entire deployment.
Ipsotek says it will expand sector coverage through a modular roadmap, adding new vertical applications as requirements evolve. This staged approach suggests a deliberate attempt to avoid the complexity that has historically undermined scalability.
A sign of AI’s operational maturity
Dr Boghos Boghossian, chief executive and chief technology officer at Ipsotek, described VISuite Core as a shift in how AI-video analytics is delivered. His emphasis was not on new algorithms, but on automating configuration and focusing on the most impactful workflows.
That framing is telling. Across enterprise AI, attention is moving away from model novelty towards operational maturity. Systems are judged by how easily they can be deployed, governed and justified in financial terms.
VISuite Core sits squarely within that trend. By trading flexibility for standardisation, Ipsotek is betting that the next wave of AI adoption will be driven by platforms that behave predictably at scale.
For organisations under pressure to deploy AI responsibly, consistently and within budget, that trade-off may prove increasingly attractive.
