model release
Deep Principle releases Hydrogen-1.0
Deep Principle announced Hydrogen-1.0 for scientific research, with gated public weights and Mira access; benchmark claims are company-reported.
Editorial intelligence brief
Editorial focus
Announced Hydrogen-1.0 on November 2, 2026, a science-focused model based on GLM-5.3, with gated open-weight downloads and access through Mira and a partner API; benchmark results are company-reported.
Focus: AI models and autonomous laboratory workflows for materials and chemical discovery
Latest funding
Not tracked
No structured event
Tracked funding
Not tracked
No structured events
Latest valuation
Not tracked
No source-backed record
Latest revenue
Not tracked
Deployment lifecycle position
Editorially verified updates
What changed
External coverage of Deep Principle
Selected by relevance, date and publisher; grouped by story. External reporting is not independently verified by the map. Article dates are publisher timestamps supplied by the discovery feed; quieter profiles may show coverage up to 90 days old.
Last checked Nov 3, 2026.
No eligible recent coverage found. Verified updates and profile sources remain available above and below.
Source-backed financial history
Funding and financial history
Funding, valuation, revenue, and debt are kept separate so unlike measurements are never presented as one trend.
A structured financial history has not been completed for Deep Principle.
The profile will not manufacture a trend from incomplete or unsourced figures. Each amount must be dated, typed, and linked to public evidence first.
Product surface
Products and model families
Recent models
Hydrogen-1.0
Products
Mira AI ScientistAI Materials FactoryHydrogen-1.0
Open weights
Yes
API access
Yes
Review target
Weekly
Market position
Lifecycle and strategic signals
Research
Preview
Growth
Deployment
Deployment: Production & at scale
Focus
AI models and autonomous laboratory workflows for materials and chemical discovery
Signals
AI for scienceMaterials discoveryOpen weightsAutonomous labs
Taxonomy
Frontier LabsOpen Weight LabsAI for scienceAI for scienceResearch
Competitive context
Periodic LabsLila Sciences
Infrastructure & distribution
Where Deep Principle sits in the AI stack
01
Model layer
1 tracked model family
02
Access layer
Managed API + self-hostable weights
03
Market layer
Vertical + Enterprise
Public product surface
Mira AI ScientistAI Materials FactoryHydrogen-1.0
Stack signals
AI for scienceResearchMaterials discoveryOpen weightsAutonomous labs
This section reflects publicly visible product and access signals. Undisclosed GPU, cloud, training, and data-center contracts are not inferred.
Evidence trail
Sources and corrections
Primary and public sources used to verify the structured company profile.
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