Robot model
Digital Space Twin
Interactive 3D visualization platform fusing real-time orbital data, space weather, and physics-based simulations for mission planning and space domain…
- Manufacturer
- Slingshot Aerospace
- Form factor
- space
- Maturity
- commercial
- Lifecycle
- active
- Deployments
- 2
The verified answer
As of Aug 2026, DEPLOY verifies Digital Space Twin, a space by Slingshot Aerospace (commercial): 2 verified deployments on record. 1 source back the record.
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Data & sources
Web sources
1
1 source backing this record.View all →
Pricing
No verified price is on record for Digital Space Twin. Physical-AI systems are often sold through enterprise contracts or operated as a service rather than at a public list price.
Deployments (2)
US Space Force $25.2M contract for Digital Space Twin operational at El Segundo
Awarded $25.2M Space Force STRATFI contract to develop Digital Space Twin and deploy pilot programs to four USSF education organizations.
Digital Space Twin on the deployment map
View the global mapWhere Digital Space Twin is verified operating. Explore the deployment map by place and type.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdAug 8, 2026
Added to the verified registry
- Deployment recordedJan 1, 2023
at El Segundo, California, USA
- Deployment recordedMar 31, 2022
at El Segundo, California, USA
Safety record
No incidents on record for Digital Space Twin.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Sources (1)
Common questions
What is Digital Space Twin?
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Methodology: Unreviewed · 1 source (no primary) · last reviewed 2026-08-08
Verification posture
Unreviewed
Low confidence
Review state
Stable
Last reviewed 2026-08-08
Maturity + lifecycle
Maturity stage: commercial
Lifecycle: active
Architectural position
Cohort: space
Sources by quality tier
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for Digital Space Twin.Machine-readable surfaces
- Markdown mirror: /models/slingshot-digital-space-twin.md
- JSON-LD: embedded in this page’s head
- REST API: /v1/models/e0559a8d-c9ad-4634-8ae7-7bd4924649d3
- Revision history: /models/slingshot-digital-space-twin/history
- Data documentation: /data
- Query this programmatically: Deploy MCP