THE GRID
IS DETERMINISTIC
Invariant-PIKAN calculates what others cannot predict. Zero historical data required.
THE COMPETITION IS CLEANING CSVs
STANDARD APPROACH
- × 6 months data collection
- × Black-box predictions
- × Fails under sensor noise
- × Correlation, not causation
INVARIANT-PIKAN
- → 48 hours to production
- → Symbolic derivations
- → Stronger under attack
- → Maxwell's equations
CURRENTLY DEPLOYED: 3 GRID OPERATORS. WAITLIST OPENING Q2 2026.
THE ARCHITECTURE IS CLASSIFIED
Invariant-PIKAN embeds Maxwell's equations into neural architectures. The result: a system that knows physics before it sees data.
PATENT PENDING • DO NOT DISTRIBUTE
“I optimize grids that don't exist yet.”
No historical data. No sensor infrastructure. No problem. Invariant-PIKAN derives capacity from first principles.
DEPLOYMENT TIERS
GRID ORACLE
Zero-data DLR for transmission operators. Deploy in 48 hours without sensor infrastructure.
THERMAL SOVEREIGN
EV battery pre-heating optimization. Per-chemistry parameter learning.
DARK GRID
Optimization for data-scarce environments. One SCADA point per 100km.
PHYSICS DOESN'T LIE
Numbers from active deployments. No historical data required.
“We tested Invariant against our existing ML pipeline. It performed better with zero training data than our model did with 2 years of history.”
ACCESS IS LIMITED
Invariant-PIKAN is currently deployed with select grid operators. We are accepting applications for Q2 2026 deployment slots.
Average response time: 48 hours. Not all applications are approved.