Source
Source Intake
Bring SQL, XLS, API, LOG, DOC, and CSV sources into one workspace before the data is reused.
DatumKit
Lightweight data management toolkit. Organize asset datasets, operational records, and decision context.
Focused product surface, clear operating shape
Each part of DatumKit is designed to keep important work legible, reviewable, and easier to improve over time.
Schema
Schema Mapping
Align fields, labels, owners, and relationships so messy records become a shared operating language.
Clean
Record Cleaning
Normalize duplicate, incomplete, and inconsistent records while keeping cleanup decisions reviewable.
Workspace
Dataset Workspace
Organize asset datasets, operational records, and decision context around the teams that use them.
Query
Flexible Query API
Expose filtered data through query surfaces that can serve reporting, operations, and AI workflows.
API
Structured API
Publish stable RESTful or GraphQL resources for downstream systems without losing source context.
Workflow
Turn scattered records into usable data surfaces
DatumKit keeps operational data understandable before it becomes reporting, automation, or AI context.
01
Ingest the source
Collect the records and files that already drive the work, then name the source and owner clearly.
02
Shape the dataset
Map the fields, relationships, and data quality decisions that make the dataset useful.
03
Publish the surface
Serve clean records to reporting, product surfaces, and AI-ready workflows through stable interfaces.