Computer Vision
Turn images and video into reliable inspection, detection, and operational insight.
Your businessalready producesthe signals.
Turn your signals into working AI and IT systems, from analysis and prototype to integration, deployment and ongoing improvement.
One operational problemcan require more than one technology.
Smart City & LIMS
Connect city and laboratory workflows to information people can act on sooner.
Operational intelligence
Reduce repeated work and make routine decisions faster, clearer, and easier to manage.
Data & Industrial IoT
Connect machines, data, and on-prem AI infrastructure while keeping sensitive workloads under your control.
What GAIAA can help you build
One operational problem can require more than one technology.
Start with the outcome you need. The right combination of data, infrastructure, AI, software and integration follows from there.
Build a complete AI system
Take one operational problem from feasibility through data, hardware, infrastructure, software, integration and maintenance.
Run AI inside your infrastructure
Deploy LLMs, Computer Vision and other AI workloads on-premise when control, latency, privacy or integration makes local operation the better fit.
Improve AI already in production
Find where models, pipelines, infrastructure or workflows are losing performance, reliability, speed or business value.
Capture the information your operation already produces
Connect machines, cameras, instruments, systems and environmental signals without forcing a complete replacement of existing infrastructure.
Turn data into useful models and decisions
Build analytical, predictive and optimization systems around the decision your people need to make.
Make information usable in real time
Deliver alerts, dashboards, reports and business intelligence where teams can act on them.
Choose the improvement
Turn those signals into changes your people can feel.
Begin with the change your team would notice, not with an AI feature list.
See problems sooner
Use images, sensor data and operating signals to notice changes before they become larger disruptions.
Remove repeated manual work
Support routine decisions, handovers and data tasks while keeping people in control of important exceptions.
Connect information to action
Bring useful signals into the systems and workflows your teams already rely on.
Keep sensitive work under your control
Design for your requirements around privacy, latency, availability and infrastructure from the beginning.
Find your starting point
Start with what should work better.
You may need a complete system, a focused specialist solution or a clear diagnosis of AI that is already running. Each path begins with the operating condition you want to change.
Built for different operating worlds
Apply the same engineering discipline without forcing the same answer.
- Manufacturing
- Retail
- Transport
- Cities
- Laboratories
- Infrastructure
- Energy
- Agriculture
Build it into the business
Move from a useful question to a system that earns its place.
Each stage removes a different uncertainty before the next commitment.
Define the improvement
You identify the decision, delay, cost or risk that needs to change and how progress should be judged.
Test feasibility
Your data, systems, constraints and operating environment are assessed before a larger commitment is made.
Prove the approach
A focused proof of concept tests the important assumptions with representative conditions and clear acceptance criteria.
Integrate the system
The working solution is connected to your infrastructure, workflows and responsibilities rather than left as an isolated demo.
Operate and improve
Performance, reliability and changing needs remain visible after launch so the system can keep earning its place.
Evidence
Proof should survive the next question.
See the operating condition, engineering constraint and evidence behind every result.
Engineering real-world systems since 2018
Experience grows when systems have to operate outside a controlled setting.
Based in Poland. Working globally.
GAIAA delivers AI projects across markets and operating environments without limiting the offer to one country or industry.
AI projects built on proven industrial hardware
GAIAA works closely with Advantech on AI projects. Advantech supplies the industrial hardware; GAIAA develops the AI, software and integrations that turn it into a working system.
See the evidence
See how the system was engineered
Explore the problem, constraints, architecture and result behind each implementation.
Explore case studiesA useful first conversation
What should work better in your organization?
Whether you are planning an on-prem AI system, improving AI already in production or investigating one stubborn operational problem, a focused conversation can clarify the next useful step.
Discuss your project