About Webinar
Is your construction team losing valuable time searching for critical information on the job site? Discover how Datagrid's intelligent AI Agents are specifically designed to empower field teams, providing instant, accurate access to project data across your entire software ecosystem. From Procore and Autodesk Construction Cloud (ACC) to P6, Egnyte, SharePoint, and Excel, Datagrid seamlessly integrates with 100+ connectors and 2000+ APIs, eliminating data silos and streamlining processes.
Learn how your on-site personnel can leverage intuitive voice and text queries to get real-time answers, automate daily tasks like generating field reports, browsing inspection records, and creating RFIs and submittal packages. This session will reveal how Datagrid's deep integrations and unique Agentic AI capabilities enhance data visibility and free up your team's time, enabling them to 10x their output and drive optimized project delivery directly from the field.
Presenter
Thiago da Costa is the CEO and Co-Founder of Datagrid, an Agentic AI platform redefining how teams interact with data and automate work. A lifelong technologist, his career began at the intersection of physics and software, later founding Lagoa—a cloud-based mechanical CAD platform acquired by Autodesk and integrated into Fusion 360.
At Autodesk, Thiago led major cloud, data, and AI initiatives across construction, manufacturing, and media, gaining firsthand insight into a core paradox: organizations are knowledge-rich but execution-poor. He saw how complexity and cognitive overhead stall progress, and became convinced that the role of technology is not to make people more efficient at repetitive tasks—but to free them from it entirely.
This belief drives his work at Datagrid, where AI agents absorb complexity and handle execution, giving teams leverage to focus on what matters. Thiago holds multiple patents in collaborative data systems and is an active investor in deep-tech companies like SpaceX and Vention. His work continues to shape the future of AI, automation, and human potential—especially in industries where technology adoption has lagged but impact is greatest.