Editorial intelligence brief
What matters now
Released ZUNA1.1 on July 16, 2026, a 380M-parameter Apache-2.0 EEG foundation model trained on about 3.5M channel-hours for reconstruction, denoising, and upsampling.
Focus: Open multimodal foundation models, sovereign AI infrastructure, and scientific AI
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
Growth lifecycle position
Source-backed financial history
Capital and commercial trajectory
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 Zyphra.
The profile will not manufacture a trend from incomplete or unsourced figures. Each amount must be dated, typed, and linked to public evidence first.
Chronological activity
What changed
Released ZUNA1.1 on July 16, 2026, a 380M-parameter Apache-2.0 EEG foundation model trained on about 3.5M channel-hours for reconstruction, denoising, and upsampling.
A structured event record is still being assembled for this company.
Recent coverage of Zyphra
Consolidated by storyZyphra Releases ZUNA1.1: An Apache 2.0 EEG Foundation Model With Variable-Length Inputs From 0.5 To 30 Seconds
MarkTechPost · Jul 17
Zyphra Release Zamba2-VL: Hybrid Mamba2–Transformer Vision-Language Models That Cut Time-to-First-Token by About an Order of Magnitude
MarkTechPost · Jun 12
AI model developer Zyphra raising $500 million at $5 billion valuation in funding round that includes commitment from AMD- Forbes
TradingView · 1 related source · May 19
Product surface
Products and model families
Recent models
Products
Open weights
Yes
API access
Yes
Review cadence
Weekdays
Market position
Lifecycle and strategic signals
Research
Preview
Growth
Deployment
Growth: Public access & scaling
Focus
Open multimodal foundation models, sovereign AI infrastructure, and scientific AI
Signals
Taxonomy
Competitive context
Infrastructure & distribution
Where Zyphra sits in the AI stack
Model layer
3 tracked model families
Access layer
Managed API + self-hostable weights
Market layer
Open Weight Labs
Public product surface
Stack signals
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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