We're rethinking how neural networks scale

Psyconomic is an AI research company building neural architectures that deliver frontier intelligence at constant cost so AI can reach everyone, not just those who can afford it.

What We're Building

Replacing the assumptions that make AI expensive

Constant-cost inference

Current AI models get more expensive the longer you talk to them. We've built an architecture where every token costs the same, first or millionth.

Memory that persists

Today's AI forgets everything when you close a chat. Our architecture saves its state to disk and picks up exactly where it left off, no re-reading, no re-computing.

Intelligence at the edge

Our models are designed to run on devices with limited power like phones, robots, and vehicles, not just massive data centers.

A new kind of attention

We replace global self-attention, the bottleneck behind today's AI costs, with five constant-cost mechanisms coordinated by a single learned signal.

Built different, by the numbers

Early benchmarks against transformer baselines

3.4×
Better recall
O(1)
Inference cost
130K×
Smaller state
13.5×
Cheaper at scale
Upcoming

Our first product is on the way

An AI built on our patented architecture with constant-cost inference, persistent memory, and the ability to run anywhere. We're not optimizing the old paradigm. We're replacing it.

Coming Soon

90% of the world cannot afford frontier AI today. We believe that's an architecture problem, not a business model problem, and we're building the fix.