Brazilian Laboratory for Intelligent Systems. R&D, Consulting and Collective Intelligence in AI.
BLIS is the DTIBR research and development lab dedicated to building the next generation of intelligent systems. We work at the technological frontier to turn complex challenges into scalable solutions, combining the rigor of scientific research, the agility of engineering and a strategic market vision.
We specialize in AI architectures for high-sensitivity settings such as Law, Compliance and Information Security. We design everything from multi-agent systems for legal automation to MLOps frameworks for cyber defense, making technology a driver of integrity and operational efficiency.
We translate the complexity of AI into the reality of organizations and public bodies. Our consulting focuses on enabling the adoption of intelligent systems with legal certainty and compliance, from designing tailored solutions to auditing AI systems, ensuring data governance and risk mitigation.
As an arm of DTIBR, we maintain a permanent study group devoted to frontier analysis and training in AI and Cybersecurity. This group ensures that both our systems and our consulting are grounded in the latest academic literature and global regulation, turning theory into secure code and strategic decisions.
At BLIS, we bring together depth of study, engineering precision and consulting expertise to lead the evolution of artificial intelligence in Brazil.
Systems Analyst, Newton Paiva. Founder of DTIBR. Head of AI at the Minas Gerais Public Prosecutor’s Office. AI Engineer and Data Scientist.
Master’s in Computer Science and Bachelor of Laws, both from UFMG (Federal University of Minas Gerais). Lawyer in Digital Law, Intellectual Property and Personal Data Protection. Web application developer and data analyst.
Information Security specialist with more than 10 years of experience in the field. He has led cybersecurity teams and data protection implementation projects in companies.
BLIS works alongside DTIBR’s consulting team, from diagnosis to implementation.