Product

Lossless encoding where raw data never leaves your environment.

Datasent encodes data against a shared model basis, separating structure from what cannot be predicted. Raw data stays in place. Only the residual moves. The receiver reconstructs the exact original — without ever accessing it directly.

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Approach

How Datasent enables this use case

Encode

Agree on the model.

Sender and receiver establish a shared basis upfront. Data is encoded against this basis, capturing its structure while isolating what cannot be predicted.

Transmit

Only the residual moves

Raw data stays in place. Only the residual — the unpredictable part — and minimal metadata are transmitted across systems.

Reconstruct

Exact reconstruction

The receiver regenerates the basis locally and reconstructs the exact original when authorised. No exposure during transfer.

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Advantage

A simpler alternative to moving data

Most systems assume data has to move, then add layers to protect it — encryption, duplication, controlled environments. Each layer adds cost, latency, and operational overhead.

Clean rooms

Require controlled environments, high setup cost, and slow iteration cycles.

Traditional privacy solutions

Protect data after it moves — adding encryption, duplication.

Why Datasent is better

No raw data movement. No duplication. No additional layers.

Real impact without added risk

Faster model training

Train on data where it already lives. No transfer delays, no preprocessing overhead.

Lower compute costs

Skip repeated decode and data preparation steps. Work directly on structured representations.

Broader data access

Use datasets that were previously restricted. Share and analyse without exposing raw records.

Industries

Real-world impact across industries

Lossless telemetry without the bandwidth cost

High-volume sensor streams from connected infrastructure — traffic systems, fleet telemetry, environmental monitors — encoded and transmitted as residuals. Raw data stays on-site. Insights reach the cloud exactly.

Governed data sharing across regulated boundaries

Time-series, transactional, and behavioral data shared as token exchanges — not raw transfers. The custodian model enforces reconstruction authorisation and logs every access event.

Analytics on sensitive data without moving it

Organisations can analyse, share, and build on data without transferring raw records. With a shared model basis and residual-only transmission, data stays in place while remaining exactly recoverable when required.

Training data that's already in the right format

Token components map directly to model input features — no separate preprocessing pass. Federated training across organisations exchanges tokenised residuals, not raw datasets.

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Security & Privacy Principles

Privacy and security, built in — not bolted on

Datasent is designed around three guarantees: raw data never leaves its environment, the original is always exactly recoverable, and reconstruction happens only under explicit control.

White paper