Data Studio

Data Studio

The right data for every experiment, from day one

Connect your enterprise sources, generate test data when real data isn't ready, and keep every dataset validated.

Connect a new data source: Amazon S3 and PostgreSQL connectors
  • Telefónica
  • Mahou San Miguel
  • MasOrange
  • GSMA
  • Moeve
  • Moody's
  • Sabadell BStartup
  • BiQain
  • BackFund
  • QAI Ventures
  • CDL
  • Telefónica
  • Mahou San Miguel
  • MasOrange
  • GSMA
  • Moeve
  • Moody's
  • Sabadell BStartup
  • BiQain
  • BackFund
  • QAI Ventures
  • CDL

Start before real data is ready

Synthetic data lets you experiment from day one.

Connect to where data lives

Use enterprise sources directly, with no manual exports.

Trust every input

Every dataset is checked against what solvers expect.

Features

Everything your experiments need from data, in one place

Five tools for the data side of every use case: connect it, generate it, define its format, upload it and keep it validated.

Enterprise Data Connectors

Plug experiments into your existing data: connect databases and cloud storage once and reuse them across your use cases.

  • Connectors for databases and cloud storage
  • Data flows straight into datasets and jobs

Why it mattersExperiments on real operational data are representative and repeatable.

Connect a new data source: Amazon S3 and PostgreSQL connectorsData sources page: secure connections to external systems, available at solver execution time
Connect a new data source: Amazon S3 and PostgreSQL connectorsData sources page: secure connections to external systems, available at solver execution time

Synthetic Data Generator

No real data yet? Give an example, describe what you need, and get realistic datasets in the right format.

  • Generated from an example and a plain-language brief
  • Always matches the use case input format
  • Multiple variants to test size and edge cases

Why it mattersStart now, with no privacy risk, instead of waiting for production data.

Synthetic dataset generator in custom mode: example file and plain-language descriptionSynthetic dataset generator with an AI-generated preview in the use case input format
Synthetic dataset generator in custom mode: example file and plain-language descriptionSynthetic dataset generator with an AI-generated preview in the use case input format

Automatic Schema Generation

Upload a sample file and the dataset format is inferred for you: fields, types and structure.

  • Schema inferred from one sample file
  • Editable fields and data types
  • One shared contract for datasets and solvers

Why it mattersNo hand-written formats, no mismatches between data and solver teams.

Use case data format: input and output schema, benchmarking metrics and sample datasets
Use case data format: input and output schema, benchmarking metrics and sample datasets

Large Dataset Handling

Upload large files reliably with multipart upload and direct-to-storage transfer.

  • Large files split into parts for safe transfer
  • Direct-to-storage, no application bottleneck
  • Sized for real problems, not toy examples

Why it mattersCredible benchmarks need realistic data volumes.

Upload new dataset form with multiple file selectionDatasets grouped by use case with format, validation status and size
Upload new dataset form with multiple file selectionDatasets grouped by use case with format, validation status and size

Dataset Management

Keep datasets organised and ready to run: tag, edit, validate and group them by use case.

  • Tags and descriptions for fast search
  • Validation before every run
  • Grouped by use case, shared across your organisation

Why it mattersComparable benchmarks start with consistent, validated inputs.

Datasets grouped by use case with format, validation status and size
Datasets grouped by use case with format, validation status and size

Data Studio

Stop waiting for data. Start experimenting.

Connect, generate and validate datasets in one place.

Read the docs →

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