Brazilian data and artificial intelligence consultancy startup Indicium today announced the launch of IndiMesh, a new artificial intelligence-enabled framework designed to transform how enterprises build, scale and sustain data and AI solutions.

Indimesh combines a structured training model with an extensive library of architecture templates that have been built using deep expertise across the modern data stack and AI-enabled processes to ensure consistent quality across every engagement.

The new framework seeks to assist enterprises that are wasting millions of dollars every year on inefficient AI and data initiatives. Indicium argues that poorly executed data migrations are leading to spiraling costs, platform sprawl and performance bottlenecks. Combined with a lack of structure in data and AI product development, the result is typically unreliable insights, slow decision-making and missed revenue opportunities.

IndiMesh was designed to help enterprises overcome these issues while accelerating AI and data systems adoption and reducing risk.

The framework focuses on three areas of delivery, starting with proven architecture templates. Indicium has developed a large library of accelerators and enterprise-grade templates that support data transformation, platform optimization and AI-driven analytics. The templates are designed to eliminate bottlenecks, improve system performance and ensure every solution adheres to best practices. They are also designed to be free of lock-in and future-proof, supporting integration across cloud and hybrid environments.

The second area of focus is AI and data systems training. IndiMesh includes a structured training model with more than 300 specialized courses covering the modern data stack, AI methodologies and industry best practices. The framework also features a Skills Gap Accelerator that uses AI to assess team competencies, recommend targeted learning paths and align talent with business goals.

The third pillar is AI-enabled operational processes, which are embedded throughout the framework to support governance, performance and reliability at scale. IndiMesh includes features such as automated data validation, real-time anomaly detection, continuous platform optimization and built-in security and compliance enforcement, along with AI-driven productivity tools such as Analytics Helper and Code Helper to automate repetitive tasks and enhance collaboration across teams.

“IndiMesh is the foundation of every solution we deliver, built to provide battle-tested architectures that eliminate inefficiencies, accelerate time to value and ensure every engagement follows best-in-class design principles,” said Chief Executive Matheus Dellagnelo. “Customers benefit from the collective intelligence of 300-plus certified experts and seven-plus years of hands-on experience working with enterprise data and AI. The result is a framework designed to scale, adapt and continuously drive impact.”

Indicium is a venture capital-backed startup that has previously raised $40 million in a round in May 2024. Investors in the company include Columbia Ventures Corp. and Ox Ventures.

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