01
Source register
Allowed, excluded, and restricted source categories.
Data Platform
Private data packages for model work.
We shape internal material into bounded, reviewable data packages for adaptation, retrieval, evaluation, and local product workflows.
source register / dataset manifest / reviewed package shape / preprocessing notes / handoff constraints
02
Dataset manifest
Package identity, source notes, versions, and processing context.
03
Reviewed package shape
Training split, retrieval corpus, evaluation set, or product inputs.
04
Review notes
Transformation notes, exclusions, gaps, and review checkpoints.
05
Handoff constraints
Access path, loading assumptions, updates, and next steps.
System boundary
sourcesapproved | restricted | excluded
shapedataset | retrieval | evaluation
movementregistered | reviewed
reviewmanifest | exclusions
handoffpackage | notes
Fit
When this service fits
Best for teams with useful internal material, known model use, and controlled working boundaries.
- Internal material is not model-ready
- Intended model use is identifiable
- Reviewability matters before model use
- Implementation support is needed
Inventory
Source inventory and boundaries
We define what may enter the package before material is moved, copied, transformed, or reviewed.
- Allowed source categories
- Excluded or restricted material
- Access and movement paths
- Retention and deletion assumptions
Manifest
Package structure and manifest
The core output is a structured package with identity, source context, and reviewable organization.
- Schema or folder structure
- Source and version notes
- Processing assumptions
- Package identity and boundaries
Review
Preprocessing and review notes
Transformations are recorded so customers can inspect what changed, what stayed out, and why.
- Cleaning and normalization notes
- Deduplication or chunking choices
- Redaction or exclusion notes
- Known gaps and unresolved material
Paths
Use-case package paths
Different model workflows need different package shapes, review material, and downstream assumptions.
- Adaptation dataset for fine-tuning
- Retrieval corpus for local RAG
- Evaluation set for regression checks
- Structured local product inputs
Ledger
Deliverables ledger
The delivery package is designed for technical review, controlled use, and future maintenance decisions.
- Source register
- Dataset manifest
- Package structure notes
- Review notes and handoff constraints
Handoff
Handoff and operational constraints
We prepare the package for the customer-defined environment, access path, and next model workflow.
- Movement register and transfer notes
- Loading assumptions for downstream tools
- Versioning and update expectations
- Customer review remains explicit
Patterns
Example package patterns
Typical packages support constrained model work rather than general analytics or warehouse migration.
- Internal document corpus for retrieval
- Domain examples for adaptation
- Evaluation set for local models
- Studio asset metadata package
Boundary check
Package the material before model work.
Bring source categories, intended model use, examples, boundaries, and review expectations.
Share the source categories, model workflow, environment constraints, and review responsibilities.
System signals
- You know the material and intended model path.
- The package must remain reviewable and bounded.
- Your team needs implementation support, not tooling sprawl.
Boundary limits
- You need BI, dashboards, or warehouse migration.
- You expect automatic legal or security clearance.
- You want unmanaged bulk data ingestion.