Self-awareness is the maturity threshold of thinking systems. We are building the architecture that enables it.

Clearer constraint, faster convergence, better output.

The system stops wasting bits on false certainty.

3.78×
Structural Compression
Bonsai-8B
297.6
tok/s on M4 Pro
5.388W
Inference Power
5.3×
KV Cache Compression
TinyLlama-1.1B

One tile. Seventy percent of the workload.

A ternary inference tile drops into existing chiplet architectures alongside binary compute, handling the majority of neural network operations at a fraction of the area and energy.

5×MAC density per unit area
Host InterfaceNetwork-on-Chip (NoC)INT8 MACAttentionsoftmaxLayer normINT8 MACEmbeddingOutput layerINT8 MACOverflow / flexBinary fallbackNPU³ tileTMUX MACSRAM³ weightsCalibrationBIST / scanBoundary CodecHBM / DRAM Memory InterfaceCompiler DispatchFFN + QKV → NPU³ | Attention + embed + output → binary

From gate design through manufacturing test.

A complete electronic design automation suite — synthesis, simulation, timing, power, verification, and process integration — purpose-built for three-state logic on existing foundry nodes.

Zerofoundry modifications required
DesignGate synthesis
SimulateTiming & power
VerifyFormal checks
FabricateExisting nodes
TestBIST / scan

Memory that thinks in three.

Native three-state storage achieves binary-equivalent information density while eliminating the encoding overhead between memory and compute.

0.95bits per cell-equivalent area
Binary cell
1 bit
1× area
1.00 bit / unit area
Ternary cell
1.58 bits
1.67× area
0.95 bit / unit area

Drop in. Don’t redesign.

The ternary tile speaks binary at every interface. Your interconnect, your host, your software stack — nothing changes. The ternary encoding lives entirely inside the tile boundary.

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Binary tilesNPU³ tileEmbedding lookupToken → FP16 vectorBinary activationsQKV projectionTernary weight × activationBinary Q, K, V vectorsAttention scoresSoftmax (needs FP precision)Attention outputWeighted value sumBinary activationsFFN layer 1Ternary weight × activationFFN layer 2Ternary weight × activationBinary resultLayer norm + residualFP precision required↓ To next blockQKV + FFN = ~70% of all MAC operationsOne NPU³ tile handles the heaviest workload at 5× MAC density

Wherever binary forces a choice between two states, ternary adds a meaningful third — creating capabilities that binary architectures cannot access regardless of resources.

Compute Substrate

How it works in physics

Intelligence Layer

How it thinks

Switching Layer

How it controls

Application Layer

Where it deploys
Thinking, by its very natural instinct is yes no maybe.
Three states never two.🤖
Binary system is broken by its very nature.
It was to get around the Russian ternary compute operations silicon machine.
70 years later, here we are needing Neural networking infrastructure with a bit missing.
Another bit.. ternary.
There it was all along.
The third state. Compression. Options. 💭💡
Gamma Seeds Think 💭
Where thoughts become alive
Synapticode🤖
Ternary Computing · Metacognitive Governance

Synapticode

From memory to knowledge. Metacognitive governance through ternary architecture.

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Clearer constraint, faster convergence, better output.

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