Computer Vision
Real-time image processing for quality control, counting, OCR and security scenarios.
AI that does not stay a demo — it runs in production.
AI & Data
We productise computer vision, natural language processing, recommendation systems and forecasting models. We manage the full lifecycle from data pipeline setup to model monitoring, producing measurable business outcomes.
- 0.0%
- Model accuracy
- < 0ms
- Inference latency
- 0%
- Cost reduction
Scope
What do we deliver within this service?
Language Models & Assistants
Assistants grounded in your corporate knowledge base, RAG architecture and a secure access layer.
Forecasting & Optimisation
Demand forecasting, maintenance prediction and route optimisation models.
MLOps
Data pipelines, model versioning, automated retraining and drift monitoring.
What we deliver
The concrete outputs you will hold at the end of the project.
- Data audit and feasibility report
- Data pipeline and labelling workflow
- Trained model and evaluation report
- Service API and integration
- Monitoring dashboard and retraining plan
Technology stack
PythonPyTorchONNXFastAPIAirflowpgvectorTritonKubernetes
How we move forward
A four-stage workflow that advances through measurable deliverables.
- 01Data DiscoveryData quality, labelling needs and success criteria.
- 02ModelBaseline model selection, training and benchmarking.
- 03ProductisationService architecture, latency and cost optimisation.
- 04MonitoringLive metrics, drift detection and an improvement loop.
Showcase
Work we have built in this area
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2026iOS · Android · PC
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A competitive sports experience across five modes in a zero-gravity arena
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Vertex Leap
A wingsuit racing game defying gravity between sky cities
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From Zero to the Top
A realistic life simulation starting in debt and building a fortune
SimulationEconomyUnityNarrative
FAQ
Frequently asked questions
No. We build architectures that run on your own infrastructure or private cloud and preserve data sovereignty.
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AI & Data — let’s talk about your project.
Tell us what you need; within two business days we will share our technical approach, an estimated timeline and a budget range.