Founder
Hélio Lopes
Professor and PhD researcher. Anchors the technical foundation: ontologies and AI models that decide on structured asset data.
Intelligence so hidden faults never become unplanned downtime.
An asset can fail in the gap between human checks. Datamint exists to eliminate those gaps — with the engineer deciding every case.
How we got here
Founded in 2021, from a Rio de Janeiro research group.
Datamint began inside a university lab studying how to give industrial software something closer to engineering judgment: a structured model of an asset, and the ability to reason over it. The work moved out of the lab, into production environments at industrial operators, and into a company.
Who built it
Connecting research, operations, maintenance, and tangible results.
PhDs anchored the technical foundation. A builder was brought in to ship it.
What we research
Five disciplines, one platform.
Artificial Intelligence
Models that learn from sensor and operations data to detect faults and predict asset behavior.
Ontology
Your raw field data gains structure: equipment, failure modes, and operating conditions — organized and ready to generate value.
Agentic Workflows
Systems that perceive, analyze, and enable action across continuous industrial operations, without interruptions.
Decision Governance
From review to approval, every action is recorded and traceable.
Human–AI Interaction
Engineers in control, AI transparent: see the reasoning behind every recommendation.