Product

Lossless encoding where raw data never leaves your environment.

A lightweight SDK that runs in your cloud, on your servers, or at the edge. It encodes any data into a structured lossless token format. One primitive handles tabular, time-series, images, video, audio, sensor, embeddings, and graphs. The same tokens drive your storage layer, your transmission layer, and your analytics and AI workloads. Raw data stays where it lives. The original is always exactly recoverable.

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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 which is 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.

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.

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Classical compression

Reduces storage but produces opaque byte streams. Any computation requires full decompression. Raw data still traverses the network. No structural information preserved.

Columnar storage formats

Preserve schema but apply fixed heuristics, run-length, and delta encoding without adaptive model selection. Raw data moves in full. No raw-data-local guarantee. No governed reconstruction.

Why Datasent is different

Lossless and structurally explicit. Raw data stays local architecturally, not as a policy. Governed reconstruction. Works across every major data type. One encoding layer for storage, transmission, and computation.

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

Transportation & Infrastructure

Lossless telemetry without the bandwidth cost

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

Financial Services

Governed data sharing across regulated boundaries

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

Healthcare & Life Sciences

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.

AI & ML Infrastructure

Training data that's already in the right format

Token components map directly to model input features not separate preprocessing pass. Federated training across organisations exchanges tokenised residuals, not raw datasets.

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