Moonlay

Artificial Intelligence & Machine Learning

Apply AI to operational planning, document processing, and decision support.

AI is useful when it addresses a specific decision or repetitive task. We work on practical applications such as resource scheduling, computer vision analytics, structured candidate screening, and document understanding.

These solutions bring AI into existing workflows, where teams can review outputs and act on them. The focus is not AI for its own sake; it is helping people handle complex information and decisions with better context.

Planning depends on multiple changing inputs, documents require manual interpretation, and large volumes of information are difficult to compare consistently. Standard workflows can struggle to process these inputs at the pace the business needs.

Teams have data, but turning it into decisions still takes time

Predictive analytics models

Workflow automation with ML

Recommendation & personalization engines

Computer vision & NLP applications

MLOps & model monitoring

Applies computer vision to camera data to show visitor demographics, traffic patterns, peak hours, and customer journey insights.

Computer Vision Customer Analytics

An AI-assisted planner that considers job demand, technician availability, and machine capacity to generate and display schedules on a shared calendar.

Resource Planning & Scheduling

Extracts and organizes information from documents such as contracts, invoices, and reports to reduce manual data entry.

Document Intelligence