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Gateaux brings together code, data, software environments and workflows, so teams can collaborate on analysis and reproduce it without rebuilding the work each time.
Built by data scientists for data scientists, Gateaux supports the way analytical teams actually work, while making it easier for organisations to manage, run and trust the work they depend on.
Designed for modern data science
Gateaux supports analytical work from development through to repeatable production workflows.
Work in the tools and languages that suit the analysis, use the compute needed for the job, and bring different specialists into the same workflow. Gateaux keeps the workflow and its history together as the work develops.
Reproducible
Run the same workflow again using the same code, data and software environment.
Auditable
Trace an output back through the workflow that produced it.
Transparent
See the code, data, assumptions and steps behind the analysis.
Automated
Run recurring work on demand, on a schedule or when a trigger occurs.
Collaborative
Let specialists contribute to one workflow without rebuilding each other's work.
Flexible
Use the analytical tools that suit the work, while keeping one shared way to run and record it.
A dynamic hub for all your input and output
Gateaux connects the parts of an analytical workflow, from approved data and versioned code through to the outputs people use. The whole workflow can then be rerun, reviewed and shared.
Platform architecture
Gateaux runs reports as batch jobs in cloud compute. Reports are linked to a code repository (hosted on either GitHub or GitLab) and a branch, and are directories with a configuration file. This file specifies a docker image, compute requirements, and any upstream dependencies.
Report runs, or jobs, can be triggered manually or when code is pushed.
The jobs are queued and run in runners on cloud compute, with the report code being executed inside the specified docker image. The results are stored in object storage, and are available for download from the web interface.
Organisations may provision runners inside their own infrastructure so that they have full control over the compute and storage.
One workflow, different expertise
Gateaux supports the way multi-disciplinary analytical teams work.
- Data engineers
Connect and prepare data, and manage data pipelines. - Data scientists and modellers
Develop, test and run analysis and models. - Researchers and subject experts
Review methods and assumptions, interpret results and contribute domain knowledge. - Report and visualisation specialists
Turn analysis into reports, visualisations and other usable outputs. - Managers and reviewers
See what ran, when it ran and which outputs are current.
Built into Gateaux
Gateaux is designed to make the most of new technology while using it responsibly. Teams have flexibility in how they work, while organisations retain control over their data, compute, costs and security.
Responsible AI-assisted analytics
Use AI alongside analytical workflows while keeping the underlying work visible and traceable.
Carbon-conscious computing
Workflows are designed to use compute, memory and storage efficiently. Gateaux development is undertaken using renewable energy.
Agnostic by design
Use the analytical tools, languages and infrastructure that suit the work, rather than being tied to a single technology stack.
Controllable compute
See and manage compute use, set limits to stay within budget, and choose the resources appropriate to each workflow.
Secure by design
Gateaux is designed to support secure analytical environments, with access controls, protected credentials and clear separation between users, data and compute.
Data sovereignty
Gateaux is New Zealand owned, with data hosting available in New Zealand or Australia. Organisations can also deploy Gateaux within their own infrastructure where greater control over data residency is required.
Flexible deployment
Choose the way Gateaux works best for your team and infrastructure.
| Option | What it is | Pricing |
|---|---|---|
 | Use Gateaux directly for individual research or smaller team workflows. | Compute only |
 | A dedicated organisation environment for teams working together in Gateaux. | Maintenance & support + onboarding + compute |
 | Gateaux deployed within your organisation's own infrastructure. | Maintenance & support + onboarding |
 | Dragonfly runs and maintains an analytical or modelling service for you, with Gateaux as part of the underlying capability. | Managed service + compute |
Explore the Gateaux interface
Stories about Gateaux
Organisations who are using Gateaux
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