Your Data Is Yours.
Forever.
We believe that scientific data is too important to be held hostage. TARE is built on a "No Vendor Lock-in" guarantee. Download your entire lab's memory at any time, in standard formats.
Standard JSON Export
Your inventory, experiments, and sample data are structured. Your export should be too. We provide a complete, nested JSON dump that preserves relationships.
No "Exit Fee"
Some LIMS charge you to leave. We don't. The "Export Data" button is available in your settings from Day 1, for free.
Portable Schema
Our data model is open. If you decide to migrate to a custom internal database, you can map our schema directly to PostgreSQL.
How it works
We stream your data directly from our edge-optimized database. Large datasets are handled efficiently, ensuring you get everything without timeouts.
- Authenticated API Route (`/api/export`)
- Streamed Response (Mock-Zero Latency)
- Cryptographically separate Tenant IDs
{
"metadata": {
"system": "TARE",
"exportedAt": "2024-03-21T10:00:00Z"
},
"organization": {
"name": "Acme Labs",
"id": "org_..."
},
"inventory": [
{
"name": "Acetone",
"cas": "67-64-1",
"quantity": 500,
"unit": "ml"
}
],
"experiments": [...]
}Mathematically Proven Provenance
Traditional Lab Information Systems rely on vulnerable join-tables to guess where a sample came from. TARE utilizes a cryptographically-chained Merkle Directed Acyclic Graph (DAG) natively inside PostgreSQL to guarantee an immutable chain of custody.
Immutable Hash Chaining
Every action taken in the platform—from weighing a chemical to attaching an instrument read—is sealed with an unalterable SHA-256 payloadDigest. Modifying historical data invalidates the signature of every child event mathematically chained to it.
Multi-Parent Convergence Arrays
Real science isn't linear. High-throughput synthesis involves pooling aliquots from dozens of source tubes simultaneously. TARE natively leverages deep PostgreSQL Array matrices (parentHashes: text[ ]) to stitch complex genealogical lineages into a single, high-performance database row without relying on brittle relational joins.
