BrontoKeep

Every asset has a history

Version control for your data. Not bolted on. Not an afterthought. The fundamental architecture that powers the BrontoFarm platform.

Schedule a Call

Not Storage. Memory.

Traditional storage overwrites. You PUT something, it replaces what was there. Want the old version? Hope you saved a copy. Every update erases the evidence.

BrontoKeep is different. Every piece of data has a complete, byte-level history that you can query, branch, diff, and roll back to, instantly. It's not a backup system. It's not a layer on top of something else. It's a new category: temporal storage.

Keeps and Assets

BrontoKeep organizes data into Keeps and Assets.

A Keep is a container, like a project. Inside a Keep live Assets, and an Asset is not a static blob. It's a living entity with complete temporal memory. Every write accumulates on its timeline. Nothing is ever overwritten. Nothing is ever lost.

BrontoKeep
└── Keep: ml-project
├── Asset: model.weights ← 500MB, 12 versions, 2MB delta storage
├── Asset: config.yaml ← every edit preserved
└── Asset: training-data.csv ← full history

Key Features

Byte-Level Versioning

Updates store only what changed, not full copies. A 500MB file with four updates might store 513MB total. Traditional storage would store 2GB.

Time Travel

Query any Asset as it existed at any point in time. No restore process. No searching through version IDs. Just ask for "yesterday" or a specific date.

Branching

Experiment without touching your main timeline. Branch from any point, including the past. Compare branches. Merge the winner.

Byte-Level Diff

Compare any two points in an Asset's history at the byte level. See exactly what changed, when, and how much.

Millisecond RPO

Every write is durable before it returns. Your data is safe the instant the write succeeds. No snapshot intervals. No backup windows.

Millisecond RTO

Mount any point in time directly. No restore job. No waiting. If you need yesterday's version, it's already there.

Storage Efficiency

Byte-level deltas mean you store what changed, not full copies of everything.

Initial: PUT model.weights (500MB) → 500MB stored
Update 1: PATCH bytes 1M-2M (1MB) → 1MB stored
Update 2: PATCH bytes 50M-52M (2MB) → 2MB stored
Update 3: APPEND (10MB) → 10MB stored
Total: 513MB for 4 versions Traditional: ~2,020MB

Use Cases

ML & AI Teams

Model weights, training data, configs, all evolving, all needing history. Version everything automatically at the byte level.

Compliance & Audit

Immutable timeline with system-assigned timestamps. Prove exactly what data existed at any moment. Every change logged.

Data Engineering

Datasets that evolve over time with full lineage. Append new data, patch corrections, query any historical state.

Research & Reproducibility

Point-in-time queries mean you can reproduce the exact state of your data at any moment. Experiments become repeatable.

AI Agent Safety

AI agents make dozens of changes in seconds. BrontoKeep captures every one automatically. Diff what changed. Roll back if needed.

Disaster Recovery

Millisecond RPO and RTO. No backup windows. No restore jobs. Your data is protected and accessible instantly.

The Foundation

BrontoKeep is the core platform layer that other BrontoFarm products are built on. The temporal engine, byte-level versioning, immutable timelines, and branches are the shared foundation.

BrontoKeep ← Temporal storage foundation
├── BrontoEvolve ← Document intelligence
├── BrontoRepo ← Code + AI agent safety
└── ... other BrontoFarm products

Deployment

BrontoKeep is deployed on BrontoFarm infrastructure, configured for your team's workflow. We handle operations, upgrades, and scaling so you can focus on building.

EU Data Sovereignty

Deployed in our Germany and Finland data centers. Your data stays in Europe. Full GDPR compliance with no US data transfers.

Let's talk about your use case

BrontoKeep is deployed on our infrastructure, tailored to your workflow.

Schedule a Call