From hardware constraints
CARDIAC-PURR and PURR SHIELD focus on sustained compute systems where thermal or memory thresholds can degrade or terminate long-running work.
Research & Roadmap
The principle is proven. Innovation continues.
2info LLC is extending the same preventative software-control philosophy from GPU thermals and memory resilience into governed AI execution and future legal AI systems.
Legal AI systems
AI Control Plane
Software-only control
Generalizing Principle
Prevent failure before hard constraints are crossed.
To AI execution constraints
The same design philosophy extends to AI systems governed by policy, cost, provider health, auditability, and jurisdictional requirements.
Roadmap
Two active directions beyond GPU thermals and memory.
Public descriptions stay intentionally high-level. Detailed designs, controls, and implementation pathways remain reserved for protected review.
Kernel-Level AI Systems
Legal AI kernel development focused on operating within strict regulatory constraints, with auditability, traceability and enterprise-grade control designed into the system architecture.
Enterprise AI Orchestration
A software layer for multi-provider AI orchestration, provider selection, routing governance, cost visibility, transparency and execution auditability across enterprise AI workloads.
Research Posture
Publish outcomes. Protect mechanisms.
Outcome-first disclosure
Public materials describe the category, operating layer, validation direction, and intended licensing pathway without exposing protected implementation detail.
NDA technical pathway
Qualified technical, licensing, and partner conversations can move into deeper documentation under mutual NDA review.
Separate invention families
GPU thermal and memory resilience are distinct from the AI execution platform direction, with public messaging kept clear across both areas.
FAQ
Research orientation.
An in-development framework for AI systems operating under strict regulatory constraints, built for auditability and traceability, aimed at enterprises, law firms, and regulators. Full details are pending IP protection.
It is the second proven application of the same underlying principle: proactive, software-only control of systems governed by hard constraints, applied to multi-provider AI orchestration rather than GPU hardware.
Not yet disclosed. Details will be published once IP protection is in place.