SORBA.ai teams with Dautom to push industrial AI in Colombia
SORBA.ai is expanding in Colombia through a new channel partnership with Dautom, aiming to help manufacturers turn connected operational data into predictive analytics, anomaly detection and optimization. The deal targets industrial firms across sectors including food and beverage, energy, mining and utilities.
Why it matters: - The partnership gives Colombian manufacturers a faster path from connected factory data to AI-driven decisions. - The deal combines Dautom’s Unified Namespace and IIoT infrastructure work with SORBA.ai’s no-code industrial AI platform. - Industrial companies can use the stack to move from data collection to predictive maintenance, anomaly detection, forecasting and optimization without building large in-house data science teams. - The companies will jointly serve customers across manufacturing, food and beverage, oil and gas, mining, energy, utilities, water and wastewater, chemicals and pharmaceuticals in Colombia.
What happened: - SORBA.ai announced a strategic channel partnership with Dautom on July 16, 2026. - The partnership expands SORBA.ai’s presence in Colombia. - Dautom is a Colombia-based Industry 4.0 system integrator and digital transformation consultancy. - SORBA.ai is an industrial AI platform built for manufacturing, energy, utilities and critical infrastructure.
The details: - Dautom focuses on UNS, IIoT infrastructure, industrial automation and IT/OT convergence. - Dautom’s services include consulting, design, implementation, support and maintenance. - Dautom works across three areas: connecting, collecting and storing industrial data; analyzing and visualizing operations; and applying advanced analytics, prediction, reporting and intelligent problem solving. - SORBA.ai’s platform lets process engineers, controls engineers, reliability teams and operations personnel build, deploy, manage and improve machine learning models in a no-code environment. - The platform includes industrial connectivity, automated feature engineering, model lifecycle management, edge deployment, Vision AI, predictive maintenance, advanced process control, forecasting, optimization and on-premises generative AI through SORBOT. - SORBA.ai says production-ready industrial AI solutions can be deployed in days or weeks while customers retain ownership of operational data. - Dautom said the partnership lets customers build on their UNS and IIoT platforms by adding AI applications that improve reliability, raise production efficiency, reduce downtime and support operational decision-making.
Between the lines: - The deal reflects a broader push to connect OT and IT systems before layering on AI. - The partnership is aimed at Industry 4.0 and Industry 5.0 projects, where human-centered decision support and automation are expected to work together. - SORBA.ai and Dautom are positioning the combination as an industrial intelligence stack, not just a software sale. - The emphasis on no-code tools suggests the companies want to lower adoption barriers for manufacturers that lack deep ML teams.
What's next: - Dautom and SORBA.ai will jointly support industrial customers throughout Colombia. - Both companies are targeting manufacturers looking to deploy AI applications on existing connected infrastructure. - The partnership is likely to focus first on predictive maintenance, process optimization and decision support use cases.
The bottom line: - SORBA.ai and Dautom are betting Colombian industry is ready to move from connected operations to practical AI at plant speed.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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