Reproducibilityasapropertyoftheplatform
Research breaks when datasets, models, code and environment drift apart. The platform treats them as one versioned context so a result can be explained, repeated and improved.
Whatchangeswhenthecontextisversioned
Most research infrastructure handles storage and compute well and handles lineage poorly. A benchmark run cannot be repeated because the dataset version, model weights, dependency set and scheduler allocation are not held together as one record.
NeuroCluster models datasets, models, experiments, benchmarks, results, protocols and researchers as governed objects — so a principal investigator can authorise a reproducible run and receive a versioned result linked to data, code and environment.
Whereitapplies
Dataset discovery
Metadata, lineage and access policy as one searchable context.
Reproducible pipelines
Runs recorded with inputs, environment and outputs versioned together.
Model evaluation
Benchmarks against declared datasets with results that survive review.
Multi-agent research
Agent workflows with mandates, citations and human checkpoints.
Formal verification
Evidence-oriented workflows where proof artefacts must be retained.
Compute scheduling
Sovereign allocation on EuroHPC and institutional clusters.
Publication support
Methods sections backed by traversable lineage, not memory.
Collaboration boundaries
Tenant and project isolation for multi-institution programmes.
Grant reporting
Activity and output records exportable for funder review.
Research agents accelerate discovery and documentation. They do not replace peer review, ethics approval or principal-investigator accountability for what gets published or deployed.
Questions
- Does this replace our existing HPC scheduler?
- No. Schedulers remain the allocation layer. The platform connects jobs to datasets, models and results so lineage survives after the job completes.
- Can we use our own models and notebooks?
- Yes. Registered models and environments are first-class objects. Agents and pipelines reference them by version, not by path.
- How does this relate to Supernova?
- Supernova is the reasoning research programme; NeuroCluster is the platform it runs on. Published artefacts and benchmarks link back to reproducible runs where appropriate.
Continue
- LabsSupernova research and the open ecosystem.
- Private AI cloudSovereign compute for sensitive datasets.
- ModelsRegistered models with permitted uses.
- GovernanceApprovals and change control for research workflows.
- KnowledgeLiterature and protocol retrieval with citations.
- Use casesGoverned applications built on the platform.
Bring us one operational problem.
You do not need a finished brief. Bring the problem — we will work out the next step together.
Or book a call with the team