Built for Agent Workflows
DataHaven gives AI agents persistent, verifiable memory and user-controlled data flows:
- Secure cross-LLM data exchange
- Programmable oversight and checkpoints
- Durable storage for long-running tasks
A Safe Haven for Agent Data
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.
Traditional cloud storage was built on trust in a provider. AI systems increasingly require infrastructure where data integrity, persistence, and access can be verified, not assumed.
DataHaven is building privacy-first, verifiable storage so datasets, memories, and task artifacts remain user-controlled, shareable, and verifiable, even as autonomous agents operate across tools, chains, and time. This foundation enables programmable control and durable oversight that cannot be retrofitted onto traditional storage layers.
Why DataHaven?
Built on independently verfiable infrastructure
Data integrity and persistence are enforced by architecture, not policy.
Privacy and verifiability
Secure storage is foundational for trust and ensures data usage can be audited and proven.
Control beyond access
Data remains under user control after it is created, remembered, or deleted.
Built for AI-native workflows
Designed for agents, memory layers, and long-running processes, not just static files.
Human control, where it matters
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, systems can falter at critical moments, when decisions are irreversible and accountability is required. In practice, this often leads to hidden human intervention and fragile trust.
DataHaven enables human-in-the-loop oversight and periodic checkpoints where needed. This ensures AI agents can act independently while users retain confidence that critical decisions remain accountable and verifiable.
