Research & Consulting
                   
                        Under our AI Labs Unit, we deliver AI-driven solutions in computer vision, forecasting and analytics to help enterprises make smarter decisions, automate operations, and drive innovation.
                        
                        
                                With digital transformation accelerating, organizations are inundated with data — images, video streams, sensor feeds, logs, market signals — yet struggle to turn that into actionable insight.
                                Computer vision is no longer just nice-to-have: from quality inspection on manufacturing lines, to retail-analytics via camera feeds, to autonomous vehicles and robotics, vision is becoming a core enterprise capability.
                                Forecasting (demand, supply chain, operations, maintenance) powered by advanced analytics and AI enables companies to move from reactive to proactive, optimize resources, reduce costs, and unlock new business models.
Many organisations have siloed data, legacy systems, and lack in-house expertise — so a consulting/research practice that can bring together domain knowledge, AI techniques and operational deployment is critical.
                        
                                                                                                                                                                                                                                                                                   Computer Vision & Visual Intelligence - Automated visual inspection & defect detection (manufacturing, infrastructure).
                         Forecasting & Predictive Analytics - Video analytics / behaviour monitoring (retail foot-traffic, security, smart cities).
                         Forecasting & Predictive Analytics - Demand forecasting (products, services) across multiple horizons. Supply-chain forecasting & optimization (inventory, logistics, procurement). Predictive maintenance & failure forecasting (manufacturing equipment, infrastructure)
                         Business Intelligence & Decision Science - Data strategy, model governance, MLOps for enterprise deployment.
                        
                        
                                                                                                                   
                            01.
                            Discovery & problem framing
                            
                            
                                Work with clients to identify high-impact use cases, map data sources, assess feasibility.
                            
                             
                         
                         
                            
                            02.
                            Model research & prototyping
                            
                                
                                Leverage latest deep-learning architectures, transfer learning, time-series forecasting methods,
                                Rapid prototyping of MVPs to validate value.
                                
                             
                             
                         
                       
                        
                            
                            03.
                            Pilot & scale-up
                            
                                
                                Pilot in live environment; measure performance, business impact, ROI. Research new methods, incorporate new data types (e.g., satellite imagery, sensor networks), advise on next-gen opportunities.