Jeff Dean

Senior Fellow at Google AI
“Every byte of data holds the promise of something greater when combined with AI.“
Satya Nadella

CEO of Microsoft
“AI makes data actionable, bringing clarity and precision to what was once chaotic.“
Jeff Bezos

Co-founder and CEO, Hugging Face
“With AI, data becomes not just a record of the past but a roadmap for the future.“
Data AI Engine
fundae’s Data AI Engine organizes, refines, and connects data through advanced annotation, enhancing data quality and enabling processes to identify relevant information effortlessly. This ensures businesses can leverage existing data effectively without reinventing the wheel for every task.
fundae Platform
Data Engine serves as a centralized hub, integrating AI agents, business applications, and essential processes. It ensures data is consistently curated and available while aligning with existing operations, avoiding constant modification or disruption.
The Foundation for Seamless Data Integration
The Data Engine provides a unified, reliable, and enriched data foundation that powers AI agents, business applications, and essential processes without disrupting existing operations.
Applies structured annotation to refine data attributes, relationships, and quality, ensuring it is ready for accurate and efficient use across business-critical functions.
Serves as a single source of truth, organizing and connecting data from diverse sources to ensure consistency and accessibility across all applications and processes.
Designed to work alongside data warehouses, data lakes, and other existing infrastructure without replacing them. Its purpose is to enhance the usability of current systems and adapt seamlessly to new infrastructure, such as those introduced through M&A activities.
Eliminates the need for frequent data curation or modification, enabling seamless integration with AI agents, business tools, and operational processes.
Supports continuous updates and refinements, allowing the data foundation to evolve with changing business objectives and operational demands.
Delivers high-quality, relevant data that helps business processes identify actionable outcomes without re-creating data inputs, saving time and reducing redundancy.
Meets enterprise-grade standards for data integrity, security, and regulatory compliance, ensuring trust and reliability in every interaction.
Adapts to growing data demands, supporting expanding applications and processes while maintaining consistent performance and accuracy.
Utilizes feedback from AI agents, users, and applications to refine and improve data quality continuously, ensuring relevance and usability at every step.