AI Agent Infrastructure with Verifiable Data Control
Coordinating workflows, optimizing costs, and governing data by design.
Backed by private, verifiable storage that keeps AI data under user control across its lifecycle.
Coordinating workflows, optimizing costs, and governing data by design.
Backed by private, verifiable storage that keeps AI data under user control across its lifecycle.
As AI systems increasingly act on users’ behalf by handling communications, making decisions, and executing long-running tasks, the question of who controls the data they consume and produce becomes unavoidable. Without durable user control, authority shifts from individuals and organizations to models and platforms that function like black boxes to their users.
DataHaven is building privacy-first, verifiable storage so datasets, memories, and task artifacts remain private, governed, shareable, and verifiable, even as autonomous agents operate across tools, chains, and time.
DataHaven began with secure, verifiable storage, because privacy is foundational for trust.
AI systems require more than permissions. Data must remain governed after it is used, remembered, or shared.
Data usage and persistence can be audited and proven, rather than trusted blindly.
Designed for agents, memory layers, and long-running processes, not just static files.
AI agents are no longer passive tools. They execute transactions, manage workflows, and operate over extended time horizons, challenging legacy assumptions about privacy, storage, and trust.
As autonomy increases and stakes rise, fully autonomous systems break down at the moments that matter most, when decisions are irreversible and accountability is required. In practice, this often leads to hidden human intervention and fragile trust.
DataHaven is building infrastructure that makes AI data flows verifiable and user-controlled, supporting human-in-the-loop oversight oversight and periodic checkpoints where needed without sacrificing autonomy or developer velocity. Human control is not a constraint on AI; it is what allows AI systems to be trusted at scale.
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