AutoML (Automated Machine Learning) automatically transforms large volumes of internal and external enterprise data into actionable predictive models. By exploring relationships among multiple variables, it predicts key indicators such as coating thickness, surface defects, and energy consumption, uncovers optimal variable combinations, and reveals causal logic, enabling AI to deliver results with clear decision context.
Domain Twin for Boundless
Manufacturing Operations
Amid shifting global geopolitics and changing trade policies, the manufacturing industry is facing unprecedented challenges.
Domain Twin leverages AI technology to enhance manufacturing resilience, mitigate risks arising from global supply chain disruptions, and successfully empower manufacturers to harness data intelligence—improving agility in strategic planning.
Domain Twin Core Componants
Domain Twin transforms frontline experience, veteran decision know how, and long accumulated operational insight into a shared domain knowledge brain for the enterprise. By standardizing and structuring this knowledge, proven practices are no longer tied to individual experts or single production lines, but can be replicated across lines, plants, and regions, turning one off successes into stable, measurable capabilities embedded in everyday operations.
AutoML
AI Studio
AI Studio is a no-code generative AI platform that enables enterprises to quickly build, manage, and scale their own AI assistants. By combining AI Studio with AutoML and AILM through an intuitive interface and automated workflows, organizations can adopt AI faster and more securely. With robust access control and integrated knowledge management, the platform delivers measurable business impact and continuously compounding value.
AILM
AILM enables full traceability across models, processes, and knowledge. From model versions, parameter settings, and performance metrics to every incident, root cause analysis, and improvement action, everything is systematically recorded, managed, and reused. Through AILM, organizations can build a controllable, governable, and inheritable AI knowledge governance framework, turning AI into a true long term enterprise asset.
AI Thinking Workshop
Building enterprise AI capability starts with accumulating reusable case libraries and cross domain know how. It then moves to issue driven development, using AutoML and AI Studio to rapidly train and deploy models, followed by validating value through model metrics and scenario based demos to scale results. Finally, the Domain Twin Blueprint elevates these technical outcomes into an organization wide, replicable, and long term operating model.
Resilience Management Suite
Profet AI’s Resilience Management Suite adopts a value driven, systematic approach to integrate know how, data, processes, and AI, building a sustainable resilience engine. It enables enterprises to detect issues early, make faster decisions, and restore stability amid change, while turning AI into a replicable, long term core competitive advantage through scalable deployment and continuous knowledge accumulation.
DOMAIN TWIN
How to Build My Domain Twin?
Profet AI adopts a resilience management methodology, working alongside a team of expert consultants to provide customized digital transformation guidance tailored to each enterprise. The implementation process unfolds progressively—from individual initiatives, to connected workflows, and eventually to organization-wide integration.
This approach ensures that AI technologies and Domain Twin can be seamlessly embedded into business decision-making and daily operations.