Data-Hs AutoGenesys creates self-evolving AI teams
Data-Hs AutoGenesys project uses Nvidias infrastructure to autonomously generate specialized AI agents for business tasks
Data-H Artificial Intelligence, a startup with an annual revenue of R$10 million and 100 employees, has unveiled AutoGenesys—an AI system capable of autonomously creating specialized AI agents to handle tasks when existing models fall short.
How AutoGenesys Works
- The system acts like a "digital brain", identifying gaps in performance and generating new AI agents tailored to specific needs—all without human intervention.
- Currently in the prototype stage, it has developed around 60 agents, including one dubbed "the HR guy who hires people."
- From the user's perspective, interactions appear as a single conversation with one chatbot.
Business Applications
- Designed to automate workflows, AutoGenesys forms real-time expert teams—mirroring how companies assemble human employees.
- Phase two includes an "orchestrator" agent to monitor performance, retrain underperforming agents, and reward successful ones.
- Potential uses span financial analysis, logistics, auditing, and investments.
Nvidia Partnership
- Data-H leverages Nvidia’s infrastructure via the Inception program, which supports startups in scaling innovation.
- Marcio Aguiar, Nvidia’s Enterprise Division director, notes that Data-H was among the first startups to join the program, though there is no financial investment from Nvidia.
Founder Vision
- Evandro Barros, Data-H CEO, describes the system as having an "instinct for evolution."
- Celso Azevedo, co-founder, recalls the 2017 goal of a fully autonomous company—now achievable with mature AI.
"We are talking about artificial intelligence that does not rely on humans to adapt. It understands the situation, identifies what needs to be done, and creates the resources to do it." — Evandro Barros
For more details on Nvidia’s Inception program, visit Nvidia Inception.
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About the Author

Dr. Emily Wang
AI Product Strategy Expert
Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.