AI Transformation

Data Foundation

Prepare data and context to build a reliable foundation for AI.

Having data available does not mean having data prepared to work with Artificial Intelligence. To operate with confidence and scale, AI needs to access reliable information within the business context. 

Data Foundation structures data and context to create a foundation prepared to support AI solutions with reliability and traceability. 

The more AI advances in company processes and decisions, the more the quality of the foundation matters. Without governance and data prepared for reuse, initiatives that succeed in testing struggle to reach production.

0

%

of data management leaders do not have, or do not know if they have, adequate practices for AI.

(Gartner, 2024)

0

%

of data leaders state that their current data architecture needs to be overhauled to support new AI use cases.

(Gartner, 2024)

The structure that gives context to AI

We understand what AI needs to access

We map the available data and evaluate its readiness based on reuse and reliability criteria.

We understand what AI needs to access

We map the available data and evaluate its readiness based on reuse and reliability criteria.

We organize context and knowledge

We structure context, semantic layer, and retrieval mechanisms, including RAG (Retrieval-Augmented Generation), so that AI finds and uses the correct knowledge.

We organize context and knowledge

We structure context, semantic layer, and retrieval mechanisms, including RAG (Retrieval-Augmented Generation), so that AI finds and uses the correct knowledge.

We create traceability

We define lineage and usage governance to provide visibility into the origin and path of the information used by the solutions.

We create traceability

We define lineage and usage governance to provide visibility into the origin and path of the information used by the solutions.

We prepared the foundation to keep evolving

We identify what still needs to be structured or documented to strengthen the foundation as new solutions go live.

We prepared the foundation to keep evolving

We identify what still needs to be structured or documented to strengthen the foundation as new solutions go live.

At Mitsui, building a new platform made it possible to create a foundation for what would come next.

TRINCA developed an integrated Digital Platform to support everything from quotation to post-sales. The solution also created a reusable technological foundation, which has since accelerated the launch of new products. 

Today, 30% of Mitsui Sumitomo Seguros' revenue is generated directly by the Digital Platform. The structure is also prepared for continuous measurement and optimization, supporting data-driven decisions.

Meet the Mitsui case study

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PORTO ALEGRE (HQ)

1761 Paraná Ave

4th District,

Brazil

BARCELONA

Norrsken House

Passeig del Mare Nostrum,

15 Ciutat Vella,

Spain

MIAMI

TRINCA US

777 Brickell Ave #521

Miami, FL 33131

USA

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Your AI needs a prepared foundation to move from experiment to operation.

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