Indicium launched AI Data Squads, built on the AI and data consultant’s IndiMesh framework, to help clients manage the complex data transformation and migration projects needed to support AI agent and application initiatives.
AI and data consulting firm Indicium is launching a new consulting service to help businesses and organizations manage complex data modernization and migration projects, with an initial focus on the popular Databricks and dbt Labs platforms.
The new AI Data Squads service is built on Indicium’s IndiMesh software and services framework, which the company debuted in April, and includes embedded agentic AI that incorporates Indicium’s data management expertise.
“We’re seeing a push from enterprises’ senior management to [adopt] AI,” said Daniel Avancini, chief data officer at New York-based Indicium, in an interview with CRN.
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“But most companies understand that they can’t really do the more advanced AI use cases or applications they want because their data platforms are not ready. They don’t have the framework, the [data] governance, the security or the technology that will provide that AI-ready data for these applications,” Avancini said. “We believe that most companies are not 100-percent ready for large-scale AI applications.”
“All these agents, they need good data, they need good data platforms. And we believe that there’s a big opportunity for services companies like us to help develop the platforms that companies require to have AI ready in production for the business applications,” Avancini said.
Indicium created IndiMesh, which the services provider unveiled April 24, as an AI-enabled framework for building, scaling and sustaining data and AI solutions. It incorporates a structured training model, AI-enabled processes, data product accelerators, and an extensive library of architecture templates built on the company’s extensive expertise across the modern data stack.
Indicium uses IndiMesh as both a vehicle for delivering AI and data services for customers and a framework for developing custom solutions for clients, according to Avancini. The company is particularly focused on the financial service, capital market and pharmaceutical industries.
Indicium has used IndiMesh as the foundation for a couple of client engagements over the last year, Avancini told CRN in April, and he foresaw IndiMesh becoming the biggest part of the company’s future business.
The new AI Data Squads is a service delivery model that works on top of IndiMesh and is designed to bring structure, scale and consistent quality to highly complex data modernization and migration projects, according to the company.
Each “squad” includes both human engineers and consultants, working with AI agents, to support project planning, automate data migration tasks, and streamline validation and optimization, according to the company. The combination of expert talent, proven delivery methods and intelligent tooling “helps teams move faster, improve data quality, and deliver better outcomes across every stage of modernization,” according to the company announcement.
Many clients are working with fragmented, legacy data systems – largely on-premises – as well as aging business workflows and poorly designed data collection processes. And many business and organizations lack adequate data governance policies and processes. “It’s a complex scenario,” Avancini said.
Indicium is launching AI Data Squads today with agents specifically for the dbt Labs and Databricks platforms – Databricks is holding its Data + AI Summit in San Francisco this week – but Avancini said the new service will be expanded to other platforms.
Avancini said early applications of the AI Data Squad have resulted in 90-percent reduction in data migration times. “We believe this is transformational for us and the industry,” Avancini said.
Earlier this year Indicium launched a unified data and AI asset governance solution specifically for the Databricks Data Intelligence Platform called the Unity Catalog Migration solution.
