AI-driven algorithm-to-silicon

From algorithm
to verified silicon.

AlgoSilicon builds FPGA IP cores with an AI-driven design automation flow: a Python algorithm becomes bit-exact, timing-closed RTL - validated at every layer against a golden mathematical reference. Every performance number we publish is a measured tool result.

Explore IP cores Design services
463 MHz
5G LDPC decoder, place-and-route closed MEASURED
19/20
generated configs match or beat a commercial IP's clock MEASURED
0 LSB
RTL vs golden-model mismatch across validation suites MEASURED
2–8 wks
algorithm to verified RTL, typical engagement
01 / PRODUCTS

IP cores, generated and verified

Each core family is produced by a parameterized generator: change the code parameters and a new, bit-exact decoder or pipeline is emitted and re-verified automatically. You license proven silicon, and the ability to re-target it in days.

LDPC Decoders

5G NR · IEEE 802.11n · CCSDS

Layered and folded QC-LDPC decoders for 3GPP 5G NR (BG1/BG2, all lifting sizes), Wi-Fi, and CCSDS AR4JA deep-space links. Syndrome-based early termination, zero DSP usage, single-CNU area class.

Clock (5G NR, xcku13p)463 MHz MEASURED
Throughput (early-stop)>1 Gbps MEASURED
DSP blocks0
LDPC family

DSP Pipelines

FFT · FIR · CIC · NCO/DDS

Streaming FFT engines (1k–8k points) and a 58-variant FIR filter family: symmetric, systolic, multi-channel TDM, polyphase resamplers, digital up/down-conversion chains. One sample per clock, every clock.

FFT clock (1k–8k)404–446 MHz MEASURED
FIR clock (peak)485 MHz MEASURED
Initiation intervalII = 1
DSP family

Trading Systems

Limit order book · market data

A hardware limit-order-book builder processing one exchange message per clock cycle, verified bit-exact against real NASDAQ market-data replay. Hierarchical symbol caching scales to full-market coverage.

Pipeline clock361 MHz MEASURED
Hot-path latency11 cycles MEASURED
Wire-to-wire130 ns TARGET
Trading family

Quantum LDPC

QEC decoding · in development

Relay belief-propagation decoder for quantum error correction on bivariate-bicycle codes (the IBM "gross" code). FPGA-pipelined BP iteration already clocking past the published reference implementation.

BP iteration clock118 MHz MEASURED
Published reference83 MHz
StatusIN DEVELOPMENT
qLDPC program
02 / SERVICES

FPGA design services

The same automation that builds our IP works on your algorithm. We take a Python or MATLAB reference to verified, timing-closed RTL - or rescue an existing design that will not close timing.

Algorithm to RTL

Your signal-processing or decision algorithm, delivered as bit-exact synthesizable RTL with a full verification suite. Typical delivery 2–8 weeks.

How it works

Timing-closure rescue

An automated closure flow that classifies every failing path and applies the right structural fix. Case study: a 5G LDPC decoder taken from 221 MHz to 463 MHz on the same device. MEASURED

Closure flow

IP customization

New code rates, block sizes, channel counts, or target devices for any core in our catalog - regenerated and re-verified in about a week, not a redesign.

Variants
03 / METHODOLOGY

Three layers, zero hand-waving

Every product passes a strict three-layer equivalence chain: a golden mathematical model validated against the published standard, a cycle-accurate Python model validated against the golden model, and RTL validated bit-exact against the cycle model - zero least-significant-bit tolerance.

Performance claims follow the same discipline. If a number on this site is not a real synthesis, place-and-route, or simulation result, it is labeled a target.

Inside the methodology
Three-layer modeling: golden math model, cycle-accurate model, Verilog RTL
The measured-numbers promise

Every figure on this site traces to a tool report - a Vivado timing summary, a utilization report, or a cycle-accurate simulation log. Numbers we have not yet measured are explicitly badged as targets. Ask us for the evidence behind any claim and we will show you the report.

Request an evaluation