AI & Automation

Your Approach &
Work Specifics

QLOAX builds adaptive and intelligent automation systems that evolve with your enterprise.

From predictive manufacturing and intelligent document processing to AI-driven customer engagement and workflow orchestration — QLOAX builds systems that move enterprises from efficiency to autonomy.

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Ready to infuse intelligence into your operations?
Contact: contact@qloax.com

🔹 Intelligent Process Automation (IPA) We combine RPA, AI, and human-in-the-loop design to create workflows that learn and improve continuously.
  • • Process mining and discovery
  • • RPA (UiPath, Automation Anywhere, custom frameworks)
  • • Cognitive automation with NLP & OCR
  • • Automated approvals, document handling, and reconciliations
🔹 AI-Powered Decision Systems
We embed machine intelligence into enterprise operations — enabling smarter, faster decisions at every level.
  • • Predictive analytics and forecasting models
  • • Real-time anomaly detection and risk monitoring
  • • Recommendation systems and decision support tools
  • • Adaptive optimization engines for logistics, pricing, or resource allocation
🔹 Computer Vision & Edge Intelligence
For industries that operate in the physical world — manufacturing, logistics, infrastructure — we bring perception to machines.
  • • Visual inspection and defect detection
  • • Safety, compliance, and surveillance analytics
  • • IoT Edge AI integration for real-time event intelligence
  • • Camera and sensor data pipelines to cloud inference
🔹 Conversational & Cognitive AI
We design AI that understands, interacts, and learns.
  • • Intelligent chatbots & virtual assistants
  • • Voice-based interaction systems
  • • NLP-based ticket classification & support automation
  • • Sentiment and intent analysis across communication channels
🔹 Autonomous Operations & Predictive Maintenance
Empower your business to self-diagnose and self-optimize.
  • • AI models predicting equipment failures & maintenance windows
  • • Autonomous control loops integrated with IoT/SCADA systems
  • • Workflow automation triggered by sensor events
  • • Digital twins for operational simulation & optimization
🔹 Data & Model Engineering
We ensure every AI initiative stands on strong data foundations.
  • • Data pipeline design & real-time ingestion (Kafka, Spark, Airflow)
  • • MLOps & full model lifecycle management
  • • Feature engineering & experimentation
  • • Model monitoring, drift detection, retraining cycles

Challenge: Repetitive manual operations

Solution: AI-driven process orchestration

Outcome: 60–80% reduction in manual tasks

Challenge: Data overload & siloed decisions

Solution: Unified AI models with real-time dashboards

Outcome: Predictive, data-driven decisioning

Challenge: Legacy workflows

Solution: Intelligent automation layer over existing systems

Outcome: Enhanced agility without full rebuild

Challenge: Quality & compliance risk

Solution: Computer vision & anomaly detection

Outcome: Real-time defect prevention & audit readiness

Challenge: High operational costs

Solution: Cognitive RPA and auto-scaling AI services

Outcome: Cost efficiency and scalability

  • Manufacturing: predictive maintenance, quality inspection, production optimization
  • Finance: fraud detection, credit scoring, compliance automation
  • Retail: demand forecasting, dynamic pricing, inventory automation
  • Healthcare: medical image analysis, triage automation, EHR analytics
  • Logistics: route optimization, fleet monitoring, autonomous supply chain
  • Enterprise IT: ITSM automation, anomaly detection, infrastructure scaling
  • Strategic-to-Execution Expertise: We bridge advisory, development, and deployment — not just PoCs.
  • Industrial-Grade AI: Built for performance, interpretability, and reliability.
  • Integrated Intelligence: AI designed to work within ERP, CRM, and data ecosystems.
  • Continuous Learning: MLOps keeps models improving in production.
  • Outcome-Focused: We measure automation ROI — not model accuracy alone.
  • • AI Discovery & Strategy Workshops
  • • Proof-of-Value / Pilot Development
  • • End-to-End AI & Automation Implementation
  • • Managed AI Platform & Continuous Optimization (LTS)