Strattum Secures US$3.2 Million Pre-Seed Round Led by OneVC and Maya Capital
Strattum has raised US$3.2 million in a pre-seed round led by OneVC and Maya Capital to help large enterprises organize fragmented data and improve AI adoption.
Strattum has secured US$3.2 million in a pre-seed funding round co-led by OneVC and Maya Capital, with participation from Norte Ventures. The investment, considered larger than the average pre-seed check in Brazil, will support the startup's mission of helping large enterprises organize fragmented data structures that often limit the effective implementation of artificial intelligence.
Solving a critical challenge for enterprise AI
As organizations accelerate their adoption of artificial intelligence, many continue to face a fundamental obstacle: disconnected and poorly structured data.
Strattum was created to address this issue by orchestrating information scattered across multiple corporate systems. Its platform consolidates data originating from enterprise resource planning systems (ERPs), customer relationship management tools (CRMs), data lakes, spreadsheets and other documents into a unified foundation.
The company's name is inspired by the Latin word stratum, referring to the geological layers where minerals are buried. The concept reflects Strattum's role in uncovering valuable information hidden across different digital environments.
By creating a single source of truth, businesses can build a stronger starting point for deploying artificial intelligence solutions supported by more efficient data structures.
"Companies skip important steps and connect a CRM directly to an AI model," said Kadu Monguilhott, CEO and co-founder of Strattum. "That approach is inefficient, becomes very expensive and consumes far more tokens to generate results than it would if the data were properly structured."

Why data organization matters
According to Strattum, only 6% of large enterprises—the segment the startup intends to serve—currently possess structured datasets capable of effectively supporting AI models.
Many companies rely on fragmented information drawn from isolated systems, such as a single ERP platform. This limited perspective can reduce the effectiveness of AI initiatives.
Strattum argues that consolidating information from different sources allows AI models and autonomous agents to operate with greater efficiency and deliver more meaningful business outcomes.
"With AI, the broader and more holistic the company's view of its operations, the more value it can generate for the business," said Rafael Viana, co-founder and CTO of Strattum.
Founded by experienced enterprise data executives

Strattum was founded by Kadu Monguilhott and Rafael Viana, two executives with extensive experience in Brazil's enterprise data sector.
Before launching Strattum, Monguilhott spent 11 years at Neoway, including nearly five years as CEO. During his tenure, he helped lead the company's sale to B3 in 2021 in a transaction valued at R$1.8 billion (US$ 346.6 million).
Viana, meanwhile, is a co-founder of idtech Certta, formerly known as CAF. It was through Certta's board that the two entrepreneurs first established their professional relationship.
Drawing on their combined experience, the founders are now focused on helping large organizations build the data infrastructure necessary to unlock the full potential of artificial intelligence.