Brazilian fintech startup Vaas (Virtual Asset Analytics & Security) is building an innovative platform to analyze and prevent fraud related to cryptocurrencies, digital assets, and the Pix instant payment system. By combining artificial intelligence, blockchain analytics, and integration with government databases, Vaas offers an effective tool for financial institutions aiming to meet regulatory requirements and reduce operational risks. The project has already secured funding and gained the attention of banks, regulators, and technology investors.
Table of Contents
- Concept and Architecture of the Vaas Platform
- Artificial Intelligence and Analytics Model
- Use Cases and Project Partnerships
- Funding and Vaas Founders
- Advantages and Role in the Fintech Ecosystem
- Conclusion
1. Concept and Architecture of the Vaas Platform
The core idea behind Vaas is to create an intelligent system capable of detecting fraudulent behavior in transactions involving digital assets and Pix payments. The platform analyzes both on-chain data (blockchain) and off-chain data (including CPF/CNPJ, banking history, and other identifiers), merging them into a unified risk scoring engine.
Vaas is built on a modular architecture. Each component — from transaction analysis to risk report generation — can be customized for specific client needs. This flexibility is especially valuable for banks, fintech firms, and regulatory bodies. The platform is designed with scalability in mind, including future integration with Brazil’s upcoming central bank digital currency, Drex. Additionally, Vaas is built with core principles such as transparency, API compatibility with third-party services, and support for multi-level identity verification. This allows for seamless integration into existing financial infrastructure without disruptive changes. As a result, the project resonates with both large institutions and innovative startups alike.
2. Artificial Intelligence and Analytics Model
One of Vaas’s main strengths lies in its advanced transaction analysis model, which leverages artificial intelligence. The platform evaluates each crypto wallet, transaction, and user by analyzing their entire history, including address relationships, involvement in mixers, and exposure to high-risk services.
Comparison of Vaas Data Sources Data Source Type Usage in Analysis Blockchain (Ethereum, Bitcoin, etc.) On-chain Wallet history, address linkage, behavioral clustering Pix Transactions Off-chain Real-time detection of suspicious payment patterns CPF/CNPJ Off-chain Identity validation, KYC/AML compliance Commercial Databases Off-chain Creditworthiness and behavioral risk profiling
Thanks to this hybrid approach, the system not only detects real-time threats but also learns from historical data, forecasting fraud before transactions are completed. This proactive method reduces the burden on security teams and enables faster, smarter decision-making. Moreover, the AI engine continuously improves through user feedback and automatic model recalibration. This self-learning framework ensures resilience against evolving fraud tactics. Internal audits of algorithms further ensure regulatory compliance and operational transparency.
3. Use Cases and Project Partnerships
Vaas is currently undergoing pilot testing with banks, fintech companies, and infrastructure providers. High demand is coming from players handling digital wallets and Pix payments, as these segments are especially vulnerable to fraud.
- Real-time monitoring of suspicious Pix transactions
- Risk scoring for crypto wallet activity
- Integration into bank KYC/AML processes
- Client trustworthiness assessment tools
- Preparation for Drex integration (CBDC of Brazil)
One of Vaas’s strategic partners is the B3 stock exchange, which provides access to verified data on individuals and legal entities. The project also collaborates with regulatory agencies seeking robust tools to supervise financial flows in an increasingly tokenized economy. Future plans include expanding API capabilities to embed Vaas directly into banking and fintech backend systems. Additionally, customizable dashboards for compliance teams are being considered to visualize risk in real time.
4. Funding and Vaas Founders
Vaas was founded by entrepreneurs Gustavo Tremel, Daniel Smolenaars, and Paulo Orione, who previously launched Decora — a startup acquired by an American company for $100 million. After exiting that venture, they invested approximately R$5 million into building Vaas, which enabled early prototyping and pilot adoption.
In October 2023, the company raised approximately $2 million in a pre-seed round, led by ABSeed Ventures and joined by Fuse Capital and Honey Island by 4UM. The funding is being used to expand the development team, scale the business model, and refine the platform for regulatory alignment.
With a strong entrepreneurial background and experience scaling tech ventures, the Vaas team is positioned as a key player at the intersection of Web3, fintech, and regtech in Latin America. The company is actively bringing in specialists in cybersecurity, legal compliance, and big data. This interdisciplinary approach ensures long-term sustainability and agility. Transparent communication with users and investors further builds trust and credibility during this early growth phase.
5. Advantages and Role in the Fintech Ecosystem
Amid increasing regulatory pressure, platforms like Vaas play a crucial role in bridging innovation and compliance. Unlike outdated systems, Vaas can analyze dozens of data streams in real time while integrating seamlessly into business processes.
Vaas already supports its partners by:
- Reducing false positives in fraud detection systems
- Uncovering hidden links between addresses and suspicious behavior
- Ensuring compliance with KYC, AML, and supervisory frameworks
- Preparing for full-scale adoption of Brazil’s Drex CBDC
In addition, Vaas significantly cuts costs associated with manual transaction review and boosts internal compliance efficiency. The platform can be adapted to specific jurisdictions and regulatory environments. This makes it a viable solution not only in Latin America but for international fintech applications as well.
6. Conclusion
Vaas is more than just a fraud analytics tool — it’s a full-fledged technological platform for mitigating risk and ensuring regulatory compliance in the digital transaction space. Its modular architecture blends flexibility, scalability, and intelligent analytics, making it highly attractive in the rapidly evolving fintech landscape.
With a strong team, a thoughtful product vision, and the backing of experienced venture capital, Vaas is well-positioned to become a foundational layer in Latin America’s financial security infrastructure. As the volume of crypto transactions and digital payments grows, solutions like Vaas are no longer optional — they are essential. The project demonstrates how modern technology can enhance financial transparency and protect users across Web3 and traditional banking environments.
