As offshore energy operators faced growing pressure to improve safety, efficiency and situational awareness, artificial intelligence was moving beyond experimentation and into everyday industrial operations. At ONS 2026 in Stavanger, Brazil-based technology company ALTAVE showcased how computer vision could transform existing video infrastructure into a continuous source of operational intelligence for high-risk environments.
Norway provided a particularly relevant setting for that proposition. The country remained one of the world’s most important energy producers, supplying close to a third of the European Union’s natural gas. Investment on the Norwegian Continental Shelf reached a record NOK 273 billion in 2025, while oil production remained close to its highest level since 2009. Against this backdrop, offshore operators were increasingly exploring technologies that could strengthen safety while making complex operations more visible and measurable.
ALTAVE arrived at ONS 2026 with technology already deployed across critical industrial environments in six countries. The company served 44 enterprise clients across 166 active sites and had recorded close to 70% year-on-year growth in recurring revenue for three consecutive years. Its customer portfolio included ARO Drilling, TotalEnergies, Transocean, Valaris, EXPRO and Petrobras.
The company’s presence in Stavanger was also part of a wider international expansion spanning the United States, Latin America and the Middle East.
“Norway is one of the most sophisticated energy markets in the world, and that is exactly where we want ALTAVE to be,” said Bruno Avena, CEO of ALTAVE. “Bringing our platform to Stavanger is part of a deliberate strategy: we want to be at the table with the operators who are setting the pace for safety and innovation in this industry.”
Turning Video Into Operational Intelligence
At the heart of ALTAVE’s offering was its HARPIA platform, which combined computer vision and artificial intelligence to continuously analyse video feeds from industrial environments where conventional monitoring could be challenging.
Rather than treating cameras simply as recording devices, the platform turned visual information into structured operational data. It could identify situations including personal protective equipment non-compliance, unauthorised access to restricted or hazardous zones and irregular activity around suspended loads. The technology could also support operational applications such as Man Hour Exposed Risk monitoring and visibility into subsea operations.
This distinction was increasingly important for industrial organisations. Cameras were already installed across many offshore platforms, vessels and facilities, but extracting actionable information from those feeds traditionally required significant human attention. AI-based analysis provided a continuous layer of observation, allowing teams to identify patterns and potential risks more efficiently.
Every detected event could be converted into structured, time-stamped data. HSE and operations teams could then use dashboards and automated reports to examine exposure time, recurring non-conformities and periods when risk levels were elevated.
The result was a shift from isolated observations towards a more comprehensive picture of operational behaviour.
For businesses navigating the broader convergence of technology, data and industrial transformation, developments such as these were becoming increasingly relevant across the global business landscape covered by World Economic Magazine India.
Supporting Decisions With Real-Time Data
ALTAVE’s technology was designed to operate continuously, supported by a 24/7 monitoring centre and infrastructure that could run either on-site or in the cloud. This allowed organisations to maintain visibility across operations while creating a growing body of data that could inform longer-term decisions.
For offshore operators, that information could be particularly valuable. Safety events rarely existed in isolation. Repeated non-compliance, recurring exposure patterns or activity concentrated around particular locations and time periods could reveal broader operational weaknesses.
AI did not eliminate the need for experienced HSE and operations professionals. Instead, the objective was to give those teams more structured information with which to make decisions.
At ONS 2026, ALTAVE positioned its technology not simply as another surveillance solution, but as an operational intelligence platform designed to connect visual information with safety and performance decisions.
The company held 14 patents and had CE marking for the European Union, supporting its expansion into regulated and mission-critical markets.
Building a Presence in the North Sea
ALTAVE’s participation at ONS focused on building relationships with operators and service companies active across the Norwegian Continental Shelf and the wider North Sea energy ecosystem.
The company’s experience across oil and gas, defence and security, mining, ports and agribusiness provided a broader industrial foundation for its computer vision capabilities. Headquartered in Brazil, ALTAVE was also recognised as a Strategic Defense Company by Brazil’s Ministry of Defense and was an accredited supplier to Petrobras.
Its technology was ultimately built around a straightforward proposition: industrial organisations already generated enormous amounts of visual data, and AI could help turn that data into intelligence that people could act upon.
As offshore operations became increasingly digital, autonomous and data-driven, the ability to understand what was happening in real time was becoming almost as important as the ability to record it.
About ALTAVE
ALTAVE specialised in intelligent monitoring solutions powered by computer vision and AI. Its platforms provided real-time monitoring, operational dashboards and 24/7 support across sectors including energy, oil and gas, defence and security, mining, ports and agribusiness.
With its growing international footprint, the company used ONS 2026 to demonstrate how AI-powered visual intelligence could strengthen safety, improve situational awareness and help organisations make more informed decisions in complex operational environments.
