S3 archiving and cold storage, done right

Archive with proof.
Restore with control.

Glacier Backups builds governed tooling for moving S3 data into cold storage and safely back again. Our first product, Data Convoy, gives research, data, and engineering teams a governed path from active S3 data to cold storage—and back—without handing out standing AWS credentials.

Request early access Book a technical walkthrough
No standing AWS data credentials in the app tierNo invented “AI magic” between you and your buckets
The lineup

Data Convoy today. Built to grow.

Glacier Backups is a company, not a single feature. Here’s what we ship today, and what’s next.

Data Convoy

Data Convoy turns S3 archiving into a visible, permissioned workflow. Teams select real objects, preview the work, send it to customer-operated workers, and keep a durable record of the result.

Explore Data Convoy

GNAS

Enterprise-grade network-attached storage with built-in backup to AWS S3 and Glacier. Automated scheduling, advanced encryption, and multi-cloud support for organizations needing robust backup infrastructure.

Explore GNAS
BUILT FOR THE SHARP EDGES

Not another lifecycle-rule dashboard. A control plane for the human decisions around archive and restore.

Data Convoy, in detail

Trust is a system property.

Every strong claim should have something concrete behind it. These are the mechanisms Data Convoy actually ships.

A split trust model

Encrypted metadata, wrapped team keys, and the key-encryption key live across separate trust domains.

Governance for real teams

Four team roles and a DB-backed permission matrix separate visibility, safe copies, deletion, retrieval, and bucket control.

Verify before remove

Workers compare checksums—or size when needed—before an authorized archive can delete its production source.

Cold storage, operationalized

Glacier and Deep Archive become managed workflows with dry runs, queues, logs, audit history, cancellation, and retry.

The bytes stay in your boundary

Your AWS account does the work.

Workers assume your IAM role and perform server-side S3 operations. Data Convoy coordinates selection, authorization, progress, and protected job metadata.

Explore the worker architecture →
A visible job lifecycle

From “we should archive this” to a result you can inspect.

  1. 01

    Choose the data

    Browse a production bucket and select keys or prefixes in the language your team already uses.

  2. 02

    Preview the scope

    Dry run to see object counts, bytes, and exclusions without copying, deleting, or rehydrating.

  3. 03

    Authorize the action

    The server maps the exact operation to safe-copy or destructive permissions before it enters the queue.

  4. 04

    Verify the outcome

    Inspect progress, checks, failures, audit events, and worker logs stored in your own S3 bucket.

“
Built by engineers who know that “it’s in Glacier” is not the same thing as “we can get it back.”

No fake customer wall. No borrowed trust. Just the product philosophy behind the work.

Your buckets. Your workers. Your control.

Make the next archive reversible.

Request early access Book a technical walkthrough