Frontier Labs · Private company · Research
Logical Intelligence
✓ VerifiedLogical Intelligence is an early research lab focused on energy-based reasoning systems for settings where verification and correctness matter more than generic chatbot fluency.
Editorial intelligence brief
What matters now
Reported that its Aleph system solved 99.4% of PutnamBench in January 2026 while piloting Kona 1.0, an energy-based model for critical systems.
Focus: Energy-based models and formal verification for high-certainty critical systems
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
Research 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 Logical Intelligence.
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
Reported that its Aleph system solved 99.4% of PutnamBench in January 2026 while piloting Kona 1.0, an energy-based model for critical systems.
A structured event record is still being assembled for this company.
Recent coverage of Logical Intelligence
Consolidated by storyFive architects of the AI economy explain where the wheels are coming off
TechCrunch · May 6
😺 🎙️ Watch: WTF is a "Reasoning Energy-Based Model"?! w/ Eve Bodnia of Logical Intelligence
The Neuron · Feb 10
Logical Intelligence Introduces First Energy-Based Reasoning AI Model, Signals Early Steps Toward AGI, Adds Yann LeCun and Patrick Hillmann to Leadership
Yahoo Finance · 1 related source · Jan 21
Product surface
Products and model families
Recent models
Products
Open weights
No
API access
No
Review cadence
Weekly
Market position
Lifecycle and strategic signals
Research
Preview
Growth
Deployment
Research: Early research & prototypes
Focus
Energy-based models and formal verification for high-certainty critical systems
Signals
Taxonomy
Competitive context
Infrastructure & distribution
Where Logical Intelligence sits in the AI stack
Model layer
2 tracked model families
Access layer
Application or managed product
Market layer
Frontier 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.
The Staticbreaker
Get the signal behind the week's AI changes.
The Staticbreaker turns launches, category shifts, and market noise into a concise editorial briefing.