The flow that produces our IP catalog works just as well on your problem. Five service lines, from a reference algorithm to a system running on real hardware, each delivered with the evidence to prove it worked.
You bring a Python or MATLAB reference: a decoder, a filter chain, a decision engine. We deliver synthesizable RTL that is provably the same computation, plus the verification suite that proves it. Typical delivery: 2–8 weeks depending on algorithm complexity.
We restate your algorithm as an independent executable reference, cross-checked against your data and the governing standard or paper.
Candidate hardware architectures are enumerated and scored on throughput, latency, and resources. You see the trade-off table before anything is built.
A clock-true Python model of the chosen architecture, validated bit-exact against the golden model. This model is the hardware contract.
RTL is emitted from the cycle model and verified bit-exact against it, to zero LSB tolerance, across stress stimulus including the hardest realistic inputs for your domain.
Vivado place-and-route at your clock target on your device, with the timing summary and utilization report delivered alongside the IP.
A design that simulates correctly but will not meet clock is the most expensive kind of stuck. Our automated closure flow measures, classifies every failing path (logic-bound, route-bound, memory-bound), and applies the structural fix with the best measured efficacy, re-validating functional correctness after every step.
What you get:
Every core in our catalog is emitted by a parameterized generator. A new code rate, block length, channel count, bit-width, or target device is a regeneration, not a redesign, typically about one week including full re-verification. That is how we implemented 20 distinct 5G NR decoder configurations end to end.
Already have RTL? We build the golden-model and cycle-accurate reference around it and tell you, with bit-level precision, whether it computes what you think it does. Includes hardest-input stress generation, real-data replay harnesses, and coverage-driven test plans.
When a validated design has to run on a real platform, we take it the rest of the way, onto a software-defined radio or a heterogeneous board where the work is partitioned across FPGA fabric, embedded ARM, and host CPU. We minimize each stage in place, cut at the narrowest one-way interface, and bring the system up rung by rung: a toolchain proof first, then the sample path, then the full design, bit-exact against the same golden model on every tier. Demonstrated on an ADALM-Pluto (Zynq-7010) Wi-Fi link, recovered over the air; we target the same method on RFSoC, USRP, and NPU/GPU accelerators.