Space Graph
A proposed map of missions and space systems.
We aim to structure missions, spacecraft, launch systems, orbits, ground stations, facilities, and technical dependencies.
- Mission records
- System relationships
- Source provenance
Space Industry is a newly formed company with a focused ambition: to connect space systems, organizations, people, verifiable identity, and responsible automation.
Founding-stage concept. Architecture and interfaces are illustrative; no operational platform or complete dataset is claimed.

01 — Proposed architecture
Our vision separates records, identity, cryptographic proof, automated rules, and AI assistance so each layer can be governed clearly.
A proposed map of missions and space systems.
We aim to structure missions, spacecraft, launch systems, orbits, ground stations, facilities, and technical dependencies.
A proposed map of the organizations behind space.
We plan to connect agencies, companies, divisions, facilities, suppliers, programs, people, skills, and institutional relationships.
Portable evidence for people and organizations.
A proposed Space Industry ID could connect identity, employment, education, project participation, and assessed skills at the claim level.
Selective proof without exposing private records.
Cryptographic anchors could make selected credentials tamper-evident while detailed, changing, and sensitive information stays off-chain.
Narrow rules for defined verification events.
Planned contracts could manage authorized issuers, credential status, revocation, and verified milestone workflows.
Evidence-aware assistance built on trusted inputs.
Future agents could research the graphs, cite evidence, match verified capabilities to requirements, and flag records for human review.
Proposed design principle: current records would remain in updateable systems; blockchain would verify selected claims; AI would work from permissioned evidence.
The Space Graph would give missions, spacecraft, launch systems, facilities, and ground infrastructure stable records with dated, source-backed relationships.
Concept model: each future relationship could carry its source, date range, and confidence status.
The Industry Graph would aim to resolve names and map ownership, divisions, suppliers, facilities, programs, teams, roles, and verified capabilities.
Illustrative relationship types only—not a claim of existing records or partnerships.
02 — Industry Graph concept
We aim to move beyond a flat directory. A future entity could connect to divisions, facilities, programs, missions, technologies, suppliers, and people.
CONCEPT UI · 6 examples
Government agency
Centers, directorates, programs, facilities, missions, partners, and people.
Intergovernmental organization
Directorates, establishments, member states, programs, missions, and partners.
Government agency
Centers, units, launch systems, programs, missions, technologies, and collaborators.
Private company
Launch systems, spacecraft, sites, manufacturing, missions, and suppliers.
Public company division
Business areas, programs, spacecraft, facilities, technologies, and partners.
Public space company
Launch systems, spacecraft, components, facilities, missions, and customers.
Concept interface only. Examples show the proposed data structure; no partnership, endorsement, live data, or dataset completeness is implied.

Illustrative spacecraft systems professional
Illustrative product architecture—not an active credential or user profile.
03 — Verified identity concept
We aim to develop a portable Space Industry ID where identity, education, employment, project participation, and assessed skills can be verified as separate claims.
University collaboration → prerequisite mapping → focused training → assessed skills → entry-level verified ID.
04–05 — Blockchain proofs & smart contracts
Our proposed model keeps profiles and documents in updateable systems. Only compact verification evidence would be anchored on-chain when independent proof adds value.
Design principle: make selected claims easier to verify without making sensitive information permanent.
06 — Proposed AI agents
If developed, agents would work from structured, permissioned records, explain their results, and leave consequential decisions to people.
Would query proposed organization and mission graphs while returning sources and freshness for important claims.
Would compare requirements with permissioned, verified roles, skills, project history, and availability.
Would surface changed sources, stale claims, conflicting records, expiring credentials, and broken evidence links.
07 — Planned data principles
Prioritize authoritative first-party, regulatory, research, mission, and reputable public sources.
Resolve names, entity types, ownership, dates, locations, and relationship definitions.
Attach evidence to individual claims and show uncertainty instead of hiding it.
Model relationships among organizations, people, missions, facilities, and technologies.

About the founder
Akhil Turai is an aerospace engineer and entrepreneur exploring how structured data, verification, and emerging technology could better connect the space sector. Space Industry is the newly formed company built around that vision.
Graduate study in Big Data and Blockchain at IIT Patna helped shape a practical sequence: establish reliable data first, then add identity, cryptographic proof, smart contracts, and AI only where each solves a specific problem.
“The aim is not another directory. It is to build a dependable map that people and software can eventually use.”
Founding-stage invitation
Space Industry welcomes conversations with people and institutions interested in helping shape trusted infrastructure for the space economy.