Software and R&D
Artificial Intelligence, Automation and Data Analytics
ONGSEC positions artificial intelligence not as a showpiece but as an engineering tool that delivers measurable efficiency gains. In every project we first determine which work would genuinely create value if automated, and only t…
Scope of service
What we do under this heading
Enterprise Artificial Intelligence Applications
Large language model (LLM) integration and question–answer systems grounded in internal knowledge; Corporate document …
VIEWMachine Learning and Algorithm Development
Design of AI and machine learning based systems; Development of classification, prediction and anomaly detection model…
VIEWProcess Automation
Automating repetitive work with RPA (Robotic Process Automation); Document processing automation: OCR, form reading, d…
VIEWArtificial Intelligence in Security
Alert prioritisation and noise reduction in SOC operations; User and entity behaviour analytics models…
VIEWEnterprise Artificial Intelligence Applications
- Large language model (LLM) integration and question–answer systems grounded in internal knowledge
- Corporate document search, summarisation and information extraction solutions
- Agentic AI applications: AI agents that carry out multi-step tasks
- Self-hosted model infrastructure and data privacy architecture
- Model output validation, safety filters and usage policy design
- Intelligent chat applications integrated with WhatsApp and social media
Machine Learning and Algorithm Development
- Design of AI and machine learning based systems
- Development of classification, prediction and anomaly detection models
- Image processing and computer vision applications
- Time series analysis and predictive maintenance models
- Model training, validation, deployment and monitoring (MLOps)
- Decision support systems and learning software architectures
Process Automation
- Automating repetitive work with RPA (Robotic Process Automation)
- Document processing automation: OCR, form reading, data extraction
- System-to-system integration and workflow automation
- Automation feasibility, benefit calculation and prioritisation study
Artificial Intelligence in Security
- Alert prioritisation and noise reduction in SOC operations
- User and entity behaviour analytics models
- Automatic classification and enrichment of threat intelligence data
- Security of the AI systems themselves: data leakage, prompt injection and model abuse risks
On this page
Typical deliverables
- Use case analysis
- Model and data document
- PoC report
- Deployment guide
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The first meeting is a discovery session, not a sales pitch. You are also welcome to evaluate our capability directly through a short pilot or proof of concept (PoC) in your own environment.