TECHNOLOGY

How the automation works

AlgoSilicon's products are emitted by an AI-driven design flow that turns an algorithm into verified hardware through three strictly-equivalent layers, then closes timing automatically. Each one is regenerated on demand, never hand-written once and frozen. The flow is the moat; the IP catalog is its proof.

Three-layer equivalence

Layer 1: Golden model. A pure-Python statement of the algorithm, validated against the governing standard, reference toolboxes (e.g. MATLAB 5G Toolbox), or the published paper. It answers one question: what does this algorithm compute?

Layer 2: Cycle-accurate model. A clock-true Python model of the chosen hardware architecture, validated bit-exact against Layer 1. Every register, every saturation, every pipeline stage: this model is the source of hardware truth.

Layer 3: RTL. SystemVerilog emitted from the cycle model and verified against it with zero least-significant-bit tolerance, in both open-source and vendor simulators. Optimization loops modify the model first, then re-emit. The RTL is never hand-patched.

Parameterized generators, not snowflake designs

A core family is captured once as a generator: architecture, schedule, bit-widths, and memory mapping all derive from the code parameters. New configuration, new standard variant, new device: regenerate, re-verify, deliver. This is how 20 5G NR decoder configurations were implemented end to end, with 19 matching or beating a commercial IP's clock. MEASURED

Right block, first time

Every operation is mapped to the silicon that wants it: multiplies to DSP slices, large delays to block RAM, small delays to shift registers, wide muxes to dedicated mux trees, all by construction, not by hoping the synthesizer notices.

One message/sample per clock

Streaming cores are designed at initiation interval 1 and proven there by measurement. Throughput claims come from counting cycles in simulation, never from multiplying a clock by an assumed efficiency.

Hardest-input testing

Each domain declares the inputs that genuinely stress it (trapping sets for LDPC, collision storms for lookup structures, market-open bursts for trading), and every release must pass them.

Automated timing closure

A measure-analyze-fix loop classifies every failing path (logic depth, routing congestion, or memory clock-to-out), then applies the structural lever with the best measured efficacy for that class: pipeline cuts inside long routes, floorplan constraints for wire-spread cones, memory restructuring for port-bound arrays. Every accepted step must survive an anti-artifact cross-validation gate and full functional re-verification. Case study: 221 MHz to 463 MHz on the same 5G LDPC decoder and device. MEASURED

The no-fake-numbers policy

Internally, a claim without a tool report is a build failure: audit hooks block any result that does not trace to a current synthesis, place-and-route, or simulation log. Externally, that means the numbers on this site are the numbers in the reports. Where we publish a goal instead of a measurement, it is badged TARGET, and our misses (like the one congested configuration that stopped at 408 MHz) are published alongside our wins.

See a full engineering report