About MetaLearner
From planning data to operational decisions.
MetaLearner gives operations teams a clear view of current demand, explainable forecasts of what's coming, and inventory recommendations they can act on, all built from the sales, inventory, and planning data they already use.We work with your
technology stack
Proud to partner with industry leaders to deliver solutions driving
growth and success.
The
MetaLearner
Story
We built MetaLearner because planning teams kept doing the same hard work over and over. The data they needed for better forecasts and inventory decisions was already in their systems, just scattered across spreadsheets, exports, and internal reports. Forecasts took weeks. Decisions still came down to gut feel and last quarter's numbers.MetaLearner uses a set of agents to pull, clean, and forecast that data, then turn it into inventory decisions teams can act on. The goal is to make the planning data companies already have useful for the decisions they need to make, without a systems replacement project.Our Team
Meet the Team
Driving MetaLearner
Forward
We're operators and technologists building AI that makes enterprise systems work the way they should — fast, smart, and intuitive.
Kevin GoodChief Executive OfficerKevin is the co-founder and CEO of MetaLearner, spearheading the company's strategic vision and growth. With a diverse background in mergers & acquisitions, finance, and data science, he brings a unique blend of business acumen and technical expertise to the role. Kevin is dedicated to leveraging cutting-edge AI technologies to revolutionize data science accessibility and application. By combining his financial insights with a deep understanding of AI capabilities, he has positioned MetaLearner as a leader in the field, driving innovation at the intersection of business strategy and advanced analytics.
Lim Ting HuiHead of TechnologyLim is the co-founder of MetaLearner and leads technology development. Focused on bridging data science with generative AI, he constantly strives to enhance system performance and improve the user experience in accessing a highly advanced data science stack. By integrating high-performance computing with a carefully curated architecture and workflow, he has propelled MetaLearner to the forefront of innovation.
Rafael Nicolas Fermin CotaHead of ProductNico is the co-founder MetaLearner and a lifelong learner, committed to his growth and development. He is always running through the cobweb of thoughts floating around in his head - of which there are many (economics, accounting, psychology, mathematics, artificial intelligence, data engineering, high performance computing).
José Manuel LamaHead of OperationsJose is the co-founder and Head of Operations at MetaLearner, with expertise in operations, finance, sales and customer relations. Focused on optimizing efficiency and scaling AI-driven solutions, Jose ensures MetaLearner delivers impactful innovations that meet client needs.
Andy AndikkoData EngineerAndy Andikko, a data engineer at MetaLearner, turns his love for quant development and ML into blazing-fast scalable pipelines, pushing the boundaries of data-driven solutions.
Tenzin SimAI Backend EngineerTenzin is an AI Backend Engineer at MetaLearner, responsible for backend and AI development, and is currently venturing into supply chain optimization.
Carlos AriasData EngineerCarlos is a Data Engineer at MetaLearner, driving the development of high-performance pipelines for time series forecasting and AI infrastructure. With a focus on scalable architecture and intelligent feature engineering, he bridges raw data and actionable insights to support MetaLearner's mission of delivering cutting-edge predictive solutions.
Dr. Melvyn SimAdvisorDr. Melvyn Sim is Professor and Provost's Chair at the Department of Analytics & Operations, NUS Business School, and a leading researcher in robust optimization and decision-making under uncertainty. His research applies advanced optimization methods across supply chain management, finance, healthcare, and engineered systems. As an advisor to MetaLearner, he helps shape uncertainty-aware decision systems that turn forecasts into robust, actionable operational decisions.
Our Mission
Supercharge your Business
with MetaLearner
Planning intelligence for inventory-heavy companies.
MetaLearner gives manufacturers, distributors, and retailers a forecasting and inventory decision layer on top of the data they already use. Sales history, inventory reports, planning files, exports: whatever the planning team works with today becomes input to the platform.The outcome is better forecast accuracy, less working capital tied up in the wrong inventory, and planning cycles that take days instead of weeks.
Privacy by design.
MetaLearner's models are trained to run our forecasting and inventory tools, not on customer data.Your sales, inventory, and planning information stays separate from our model development and is never used to train MetaLearner or any other model.Ready to See
MetaLearner in Action?
Book a personalized walkthrough to explore how our AI Agents integrate with your ERP, enhance forecasting,and optimize planning — all in real time. See the impact tailored to your business.
