Research

Research & Development

Researching What Comes Next

Research is an active company discipline. We explore technologies that strengthen our products and help organisations adopt intelligent systems responsibly.

Enterprise AI

Research focused on applying artificial intelligence to enterprise workflows, including knowledge retrieval, decision support and human-in-the-loop automation.

Focus areas

· Large language model integration for enterprise knowledge systems
· Retrieval-augmented generation with scoped organizational data
· Multi-agent workflow orchestration for business processes
· Evaluation frameworks for AI accuracy, safety and reliability

Applications

· Internal AI assistants for HR, IT and operations teams
· Automated document classification and information extraction
· Intelligent routing of service requests and approvals
· Conversational interfaces for customer and employee support

Computer Vision

Research into visual recognition, inspection and monitoring systems designed for manufacturing, retail, security and field operations.

Focus areas

· Object detection and classification for industrial environments
· Visual quality inspection and defect detection models
· Video analytics for security and access monitoring
· Edge-optimized vision models for low-latency deployment

Applications

· Automated quality checks on production lines
· Inventory and shelf monitoring in retail environments
· Visual access control and perimeter monitoring support
· Document and label scanning for operational workflows

Intelligent Automation

Research combining AI, rules engines and system integrations to automate repetitive enterprise tasks with appropriate human oversight.

Focus areas

· Process mining and workflow pattern identification
· Trigger-based automation across API-connected systems
· Hybrid rule-and-AI decision engines
· Human escalation and approval path design

Applications

· Automated invoice processing and approval routing
· Intelligent ticket triage for IT and customer support
· Scheduled data synchronization between business systems
· Conversational form collection and request handling

Secure Systems

Research into security architectures, threat detection methods and resilient system design for enterprise and cloud-native environments.

Focus areas

· Behavioral anomaly detection for network and user activity
· Zero-trust access model implementation patterns
· Secure software development lifecycle practices
· Incident response automation and playbook design

Applications

· Enhanced threat detection within VISECURE platform capabilities
· Security-hardened deployment patterns for SaaS products
· Automated vulnerability assessment workflow support
· Audit and compliance logging architecture design

Edge and IoT Intelligence

Research into edge computing, device connectivity and distributed intelligence for shop-floor, retail and smart infrastructure deployments.

Focus areas

· Edge inference for vision and sensor analytics
· Reliable telemetry collection in low-connectivity environments
· Device provisioning, firmware and lifecycle management
· Integration patterns between edge nodes and cloud platforms

Applications

· Shop-floor sensor monitoring with local alerting
· Retail device management and sales terminal telemetry
· Smart city sensor networks with edge preprocessing
· Predictive maintenance signal detection from IoT data

Applied Data Analytics

Research into data modeling, visualization and analytics methods designed to transform operational data into actionable business insights.

Focus areas

· Metric definition frameworks for cross-functional reporting
· Real-time and batch analytics pipeline architecture
· Self-service analytics interaction patterns
· Data quality monitoring and lineage tracking

Applications

· Executive and departmental dashboard design for VaraSel
· Cross-product analytics across ERP, POS and security data
· Anomaly detection in operational and financial metrics
· Predictive forecasting models for inventory and demand planning

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