TECHNOLOGY
A Different Class of Intelligence is Emerging
Seed IQ™ operates as an adaptive multi-agent autonomous control layer, not a prediction engine and not an optimization heuristic. It governs how complex systems behave over time by coordinating multiple agents that learn, adapt, and act locally while remaining coherent at the system level.
Advanced Applications and Preliminary Results
Explore how these early signals point toward Seed IQ™ occupying a solution-space that current AI approaches do not reach – where intelligence is measured by how well it governs execution under uncertainty, contains failure before it cascades, and preserves coherence as systems scale.
Quantum Computing
Seed IQ™ is a governance control layer for quantum execution.
Preliminary simulations using Seed IQ™, including QuTiP-based quantum simulation experiments exploring barren plateaus, execution stability, and tail risk behavior, suggest that adaptive autonomous control can actively govern quantum execution rather than merely react to it.
Energy Systems
Across modern energy environments, inefficiency emerges not from hardware limits, but from fragmented control. Subsystems widen buffers and overcompensate under uncertainty, leaving capacity unused.
Seed IQ™ introduces an adaptive control layer that aligns execution across domains in real time—reducing energy consumption while increasing usable output from existing infrastructure.
Autonomous Warehouse
Seed IQ™ learns system structure, ingests live operational data, and constantly evaluates how to align the entire operation with business goals.
It adapts instantly to disruptions, rebalances workflows, detects instability before it appears, and produces continuous recommendations, decisions, and actions that optimize throughput, stability, cost efficiency, and resilience.
ARC Prize Foundation ARC-AGI General Intelligence Benchmarks
Seed IQ™ outperforms all other agent systems to date.
ARC AGI 3 - Seed IQ™ Performance Compared to All Other Agents
Seed IQ™ demonstrated top human-level performance on the three pre-released games for ARC-AGI 3, twice - both before and after the increased complexity of the LS20 game on March 21,2026 .
Seed IQ™ Score - March 15, 2026:
100% Score across all 3 games
20/20 Levels
536 Total Actions
Seed IQ™ Score - March 24, 2026 (after significant increase in game dynamics and complexity):
95.49% Score across all 3 games
20/20 Levels
681 Total Actions
Comparatively, the top deep learning agent score (ARC Prize's own Agent, Stochastic Goose) prior to the complexity increase:
12.58% across 2 games
18/20 Levels
255,964 Actions
ARC Prize Agent, Stochastic Goose - after Complexity Change - March 24, 2026:
0.25% Score
(No other data was made available)
All other Agents competing:
Scoring effectively zero (highest score as of April 1, 2026 - 0.50%)
ARC AGI 1 & 2
Seed IQ™ demonstrates abstract reasoning capabilities on ARC AGI tasks that require global structural inference rather than pattern matching or search. Demonstrating consistent perfomance in solving the puzzles regardless of scaled complexity in each challenge.
In preliminary evaluations, Seed IQ™ resolves enclosure, topology, periodic extension problems, and more by allowing solutions to emerge from continuous belief dynamics, achieving correct generalization without pretraining, brute force traversal, or hard-coded rules.
© 2026 AIX Global Innovations All Rights Reserved.
