About Curatext
Closing the gap between AI ambition and operational reality
Curatext was founded by enterprise content and knowledge leaders who spent decades building and transforming the systems organizations depend on to create, manage, govern, and deliver trusted information at scale. After leading global content organizations and building AI-ready knowledge systems inside some of the world’s largest technology companies, we saw the same challenge emerging across industries: organizations were investing heavily in increasingly powerful AI tools without addressing the quality of the knowledge those tools depend on. Curatext was created to close that gap. We help organizations identify what is broken beneath the AI layer and build the knowledge systems, governance, and operations required for AI to deliver accurate, trusted, and measurable results.
Curatext isn't a content agency or a technology reseller. We bring together AI strategy, enterprise knowledge, content operations, workflow transformation, and implementation to help organizations make AI work in the real world.
Our belief
Successful AI starts with the business problem. AI is most valuable when it solves a real problem—helping people work faster, improving customer experiences, reducing repetitive work, making information easier to access, or enabling organizations to operate more effectively. Technology alone doesn't create those outcomes. Successful AI requires the right use case, reliable information, well-designed workflows, appropriate governance, and thoughtful implementation. And when AI depends on organizational knowledge, the quality of that knowledge becomes critical. Fragmented, outdated, contradictory, or inaccessible information doesn't just slow people down—it directly affects the quality of what AI produces.
Our approach
Start with the problem. Build what the business actually needs. We don't begin with a predetermined tool or technology. We start by understanding the business problem, the people experiencing it, the systems and workflows involved, and the outcomes that matter. From there, we help organizations identify the right opportunities, strengthen the foundation AI depends on, implement practical solutions, and continuously improve performance over time. Our work is pragmatic, prioritized, and designed to create measurable value—not AI for the sake of AI.
Why knowledge matters now
AI assistants use enterprise knowledge to answer questions. AI agents increasingly use that knowledge to make decisions, apply rules, trigger workflows, and take actions. That raises the stakes. Ambiguous policies, conflicting sources, outdated information, missing context, and unclear ownership are no longer simply documentation issues. They can directly affect what an AI system says or does.
Human judgment + AI-enabled systems
AI can accelerate analysis and help organizations operate at greater speed and scale. Human expertise establishes intent, authority, context, priorities, and accountability. Curatext brings those strengths together: human judgment to define what good looks like, and AI-enabled systems to help organizations analyze, improve, and operate more effectively.
Built by Leaders Who Have Done This Work at Enterprise Scale
Curatext was founded by enterprise knowledge and content leaders with decades of experience transforming complex content ecosystems, modernizing knowledge platforms, and building the infrastructure that makes AI more accurate, trusted, and useful.
Amy Hupp, Co-Founder
Amy is an AI transformation, knowledge strategy, and content systems leader with 25+ years of experience building and leading global enterprise organizations. At Meta, Broadcom, and CA Technologies, she led global teams responsible for documentation and knowledge at enterprise scale. At Meta, her team built AI-native knowledge systems across nine business domains, supporting more than 100,000 users and powering enterprise AI assistant and RAG experiences. Her work focuses on turning fragmented enterprise content into scalable, governed knowledge systems that improve AI performance, self-service, and operational efficiency.
Seema Blokhra, Co-Founder
Seema is an AI content strategy, documentation intelligence, and knowledge operations leader with 20+ years of experience across enterprise software and SaaS. At Meta and Commvault, she led large-scale documentation and knowledge initiatives, built and modernized enterprise knowledge platforms, developed AI-enabled content workflows, and established governance systems designed to improve content quality, findability, and AI readiness.