A Dataminta startup from Rio that develops AI solutions for asset management in critical industrial operations, raised US$5 million (around R$25 million) in a seed round led by Headline. Also participating in the investment were Opus Investimentos, Valutia and Kittyhawk.
Founded in 2021, Datamint operates in segments such as oil and gas, energy, sanitation and basic industry. Its technology was developed to support operators in anticipating failures, defining maintenance priorities and making decisions in environments where interruptions can generate financial, environmental impacts and even safety risks.
The startup is betting on a model in which AI supports decision-making in complex industrial environments, increasing the precision, predictability and transparency of processes, instead of replacing professionals. The platform integrates information from industrial systems, ERPs, sensors and operational histories to transform large volumes of data into auditable operational recommendations in real time.
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The round’s resources will be allocated to expanding the proprietary platform, strengthening the engineering team and accelerating the commercial strategy in Brazil and international markets. The company intends to expand its presence in sectors such as pharmaceuticals, steel and cement, in addition to evaluating new markets characterized by complex operations and increasing regulatory requirements.
AI for critical decisions
For the Datamintgenerative AI models alone do not yet fully meet the demands of critical industrial environments, where traceability, predictability and adherence to regulatory standards are central requirements. Therefore, the company combines AI models with deterministic systems, operational rules and mathematical optimization techniques. The objective is to create a decision support layer capable of recommending maintenance and operational actions with greater transparency and audit capacity.
“Much of enterprise AI today is in isolated projects, or focused on individual productivity and task automation. What we are building is different: a decision support layer for complex physical operations, where reliability and traceability are as important as speed”, says Túlio Ribeiro, partner at Datamintin note.
The proposal, according to the company, is to replace the fragmentation of information across multiple systems and panels with a centralized view of assets. In addition to consolidating technical alerts, the solution suggests action priorities and helps structure work orders for operation and maintenance teams. The resource can be implemented on existing infrastructures, without requiring the complete replacement of legacy systems or the full adoption of new ERPs.
In evaluating the Headlinea Datamint is positioned on a front in corporate AI that is beginning to gain relevance. “There is an important space for platforms that can combine automation, reliability and audit capacity in complex industrial environments”, says Romero Rodrigues, partner at the manager in Brazil.
According to Romero, the next phase of corporate adoption of AI must move towards applications linked to infrastructure and industrial operations, areas that concentrate high-value assets and require high levels of reliability, security and traceability.
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