Accelerating Lattice Cryptography on Silicon

NIST FIPS 203 (ML-KEM) and FIPS 204 (ML-DSA) require intensive polynomial multiplications over ring lattices. General-purpose processors spend thousands of clock cycles in modular reduction loops, resulting in millisecond latencies that cripple high-throughput datacenters.

Pipelined Modular Arithmetic. Butterfly Networks. SRAM Scratchpads.

Our dedicated Number Theoretic Transform (NTT) core utilizes fully pipelined Cooley-Tukey butterfly networks, parallel modular Montgomery reduction, and multi-banked SRAM scratchpads to achieve sub-microsecond key encapsulation and digital signature verification.

Pillar 1: Pipelined Cooley-Tukey Butterfly Arithmetic

Our synthesizable SystemVerilog IP features dedicated Number Theoretic Transform (NTT) acceleration units and high-throughput polynomial multipliers compliant with NIST FIPS 203 (ML-KEM) and FIPS 204 (ML-DSA), reducing key encapsulation and signature verification latency to the sub-microsecond level.

You can:

• View and filter request payloads or event logs.

• Pin important signals for quick reference.

• Search structured data without leaving your workspace.

It’s the foundation for everything else, because before you automate or monitor, you need to understand what’s going on.

Pillar 2: Transistor-Level Domain-Oriented Masking (DOM)

Once you can see your data clearly, the next step is Automate. This module lets you turn any manual debugging step, build routine, or test trigger into a defined workflow.

Examples:

• Run a cleanup task when a new build completes.

• Trigger notifications when an endpoint changes state.

• Chain actions across environments (dev → staging → prod).

Automation here is intentionally lightweight — just enough logic to remove friction, not replace your system.

*Think of it as the glue between what you see and what you do next.

Pillar 3: High-Throughput Enterprise Architecture

The final piece is Monitor — real-time awareness without heavy setup. It lets you track the key metrics and signals you actually care about, not an ocean of noise.

Use cases include:

• Watching API uptime and latency trends.

• Tracking event rates or job completion times.

• Setting simple alerts for threshold breaches.

You don’t need a full observability stack —a just clear, focused monitoring that keeps your workflow tight.

Why Silicon-Enforced Security is Non-Negotiable

True post-quantum security cannot be achieved with software alone. Quantum cryptanalysis and physical laboratory attacks require hardware-rooted silicon trust. Tashkian Semiconductor bridges post-quantum algorithms directly into high-speed silicon logic verified across TSMC, GlobalFoundries, and Intel Foundry nodes.

Tashkian Semiconductor bridges post-quantum algorithms directly into high-speed silicon logic verified across TSMC, GlobalFoundries, and Intel Foundry nodes.

• Inspect gives you insight.

• Automate gives you leverage.

• Monitor gives you confidence.

That’s the core workflow — and the heart of our product.