Pocket Pilot gives our teams a dependable data layer for agent workflows while keeping sensitive context governed and auditable.
Insights & updates
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The data layer for AI agents.
(
DATA PLANE
+ VAULT )
Pocket Pilot is the data layer for AI agents — unify operational data, retrieval memory, and private files without giving away control.
Features.
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( 001 )
BRANCH-NATIVE DATA TOOLS
Map intent into Postgres, Redis, vector search, object storage, and warehouse targets while keeping governance intact.
( 002 )
PRIVACY-AWARE INTELLIGENCE
Bring documents, metadata, and operational state into a controlled intelligence layer.
( 003 )
AGENTIC DOCUMENT FETCHING
Keep state, context, and documents available to agents with clear isolation and rollback.
( 004 )
POLICY-CONTROLLED SHARING
Data ownership, access control, private storage boundaries, and selective sharing instead of broad access.
Designed for agentic apps and private digital storage.
100
%
Private data protected, built for high-trust data operations.
600
K
Agent workflows supported on the Pocket Pilot data plane.
4
M+
Data branches created for isolated agent workspaces.
4
Backend tiers: Postgres + Redis, vector + search, object storage, warehouse + GPU.
( TESTIMONIALS )
Pocket Pilot keeps agent data and private files in sync.
FAQ.
How can teams evaluate Pocket Pilot?
Which product should we start with?
How does Pocket Pilot protect private data?
Do you support enterprise roadmaps?
What plans are available?
Which data systems does Pocket Pilot work with?
Are you hiring?
