Coming This Summer

Track relationships between the things that matter.

Build and explore connected entities and their relationships without designing schemas or writing queries.

DataJam runs on your computer. Your data stays on your machine.

DataJam is designed for a future where human-driven and AI-assisted workflows increasingly work together, allowing connected information systems to evolve alongside advancing AI capabilities.

No accounts. No cloud required. Launch information coming soon.

How DataJam organizes information.

A DataJam file is called a Universe. A Universe contains Entries. Each Entry represents an entity such as a company, person, organization, product, country, department, event — just about anything.

Each Entry stores information using Components — text, numeric, and date-time values — and connects to other Entries through Relationships.

Entries can be connected using four types of relationships.

UniverseA local DataJam file.
EntriesEntities you want to track.
Components + RelationshipsInformation inside Entries and connections between them.

Relationship Types

DataJam provides four built-in types of relationships that help structure connected information.

Custom

Named relationships between Entries. Similar to edges in a graph database, but shown as readable statements.

"owns 22% of"
"partner of"
"supplier to"
"member of"

Explode

One Entry branches outward to multiple Entries. Used to represent a hierarchy.

Company
  ├─ Division A
  ├─ Division B
  └─ Division C

Implode

Multiple Entries converge into a parent Entry. The inverse of Explode.

    Company
      ↑ ↑
Division A + Division B + Division C

Flat-Track

Connect peer entities that exist at the same level of a structure.

Division A ↔ Division B ↔ Division C

Why DataJam

DataJam is designed to make connected information easy to build and explore.

Instead of designing schemas or writing queries, you simply create Entries and connect them.

Each Entry stores its own information and relationships in a clear, readable format.

Relationships are entered once and automatically appear in the related Entry. Removing a relationship or deleting an Entry automatically removes all corresponding relationships everywhere in the Universe.

  • Companies and ownership
  • Financial analysts and independent researchers
  • Market research
  • Organizations and departments
  • Projects and timelines
  • Geopolitical systems

As AI systems become more capable, organizing entities, relationships, and context becomes increasingly important.

Everything runs locally on your computer — your data stays on your machine.

DataJam stores Universes as simple local files, so you can work with your data directly without servers or cloud infrastructure.

DataJam is coming this summer.

Create Universes of connected Entries and explore the relationships between them on your own machine.

  • Windows 10 / Windows 11
  • No cloud required
  • No schemas or query languages
  • Local files

Launch details and download information will be posted here.