ARKA Holding has formalized the launch of Brain003, a startup focused on data and artificial intelligence solutions for the business-to-business market. The new company begins operations with direct access to more than 21 billion active records, a processed volume above 1 terabyte, and an estimated monthly addition of 600 million new records. Ricardo Ramires Filho, an entrepreneur with experience in healthcare, technology, and startup fundraising, leads the operation as chief executive officer.
Strategic Position and Asset Monetization
The launch reflects the holding's tactic of monetizing and optimizing assets already accumulated by ARKA Holding, controller of Minu and Core Mídia Tech. The corporate ecosystem has a history based on consumer interactions, loyalty programs, and digital media. Brain003 converts these transactional and behavioral assets into analytical models for operational efficiency, customer engagement, and large-scale strategic decision-making.
Data Ecosystem and Scale
The data infrastructure draws from multiple integrated sources, including direct retail purchases, tax coupon processing, loyalty point issuance and redemption, mobile application interactions, and performance metrics from Google and Meta platforms. This continuous flow of records updates the analytical base and supports the company's corporate expansion plan. The ecosystem is controlled by ARKA Holding, which also operates Minu and Core Mídia Tech.
Privacy and Governance
Brain003 processes analytical data in compliance with Brazil's General Data Protection Law (LGPD), using anonymization techniques and corporate governance protocols. The architecture is designed to preserve the confidentiality of partner brands and the personal data of final consumers. This approach ensures that consolidated analyses feed predictive models without exposing sensitive or commercially restricted information.
Technology and Delivery Model
The startup departs from traditional Software as a Service, which often focuses on visual dashboards and raw storage, and introduces a Service as a Software concept. Under this model, clients acquire technology integrated with the execution of business decisions and direct resolution of commercial bottlenecks. The framework uses native warehouse architecture, predictive modeling, graph databases, and autonomous artificial intelligence agents.
First Product and Continuous Learning
The first product automates media planning and campaign management through natural language, consuming internal corporate data and cross-referencing it with a repository of thousands of previous campaigns. The system recommends audience segmentation, distribution channels, optimal budget, and content adjustments. After execution, results are reprocessed to feed the algorithm and enable continuous learning for future actions.
Market Impact and Competitive Position
The initiative transforms business-to-business competition by reducing the gap between data generation and commercial decision-making through actionable analytics. Companies can improve return on advertising spend (ROAS) and lower operating costs across supply chains and distribution. The ability to simulate scenarios and automate budget allocation makes corporate structures more agile in responding to consumer market fluctuations.
Expansion Strategy and Financial Outlook
Initially, the analytical solutions will be applied within ARKA Holding's ecosystem and among clients of affiliated companies to validate predictive models in real business environments. Despite this synergy, Brain003 was structured as an independent company with plans to capture customers beyond its origin ecosystem. Founding partners fully fund initial operations, and external capital from venture capital or strategic investors will be considered starting in 2027.
Brain003 represents a broader movement in the Brazilian market toward proprietary data consolidation and automated artificial intelligence execution. The shift from simple dashboards to autonomous agents reorganizes efficiency standards in competitive sectors such as retail, financial services, and digital media. As corporate demand prioritizes predictive platforms with direct execution, the startup is positioned to capture value by converting transactional and behavioral assets into measurable business outcomes.