Manufacturers, today, encounter a tremendous pressure to compete and innovate rapidly for retaining customers and attracting new ones. Much like other industries, the manufacturing industry has also been taken over by digital transformation with suppliers and customers communicating digitally and innovating on new business models with data-driven services. As the industry continues to move toward a world of smart factories, it becomes necessary for manufacturers to contend with margin pressures and respond to customers’ needs with speed and agility. With the increasing automation and robotics in the industry, the lack of skilled labor for next-generation manufacturing also poses as a major pain point. Cutting through the labyrinth of challenges, nlite.ai helps manufacturers ‘enlighten’ their business through data using the latest techniques in Artificial Intelligence (AI), Machine Learning (ML), and Advanced Analytics. “We develop solutions directly tied to business objectives, helping customers improve efficiencies and competitiveness, reduce costs, maximize revenues, and drive innovation,” remarks Kennedy Brown, Co-founder and president of nlite.ai. Added to that, nlite.ai plays an integral role in educating and explaining AI to the manufacturing community.

To remove the concerns of the AI black-box in production, nlite. ai specializes in Explainable AI techniques based on Bayesian Networks and Probabilistic Graphical Models combined with visualization tools. Brown says, “The core of what we do is develop and deploy robust AI solutions.” Based on the teams’ extensive background in customer engagement and research, the company has developed a variety of cutting-edge ML usage models targeted at addressing key manufacturing challenges— revenue maximization, predictive maintenance, supply chain optimization, and HR optimization, to name a few. nlite.ai leverages analytics and AI models to predict demand based on historic trends, current financial or business trends, regulatory changes, and customer segmentation, then drive dynamic pricing for enhancing revenue opportunities. With AI-based computer vision and IoT, nlite.ai enables manufacturers to be more agile in managing the infrastructure and capacity by predicting maintenance before an unplanned downtime event occurs or to improve production quality. AI-driven supply chain optimization helps manufacturers better predict demand and optimize inventory positions while minimizing costs and risks in the supply chain, such as raw material shortages or weather and traffic events. For HR optimization, nlite.ai’s AI solutions allow for predicting or preventing employee burnout and adjusting employee schedules to maximize productivity while enhancing customer satisfaction with AI-powered bots. Besides, with an education-oriented background, the company provides workshops to enterprise and institutional customers for both business and technical staffs, along with helping manufacturers bring up new data science teams.