Software for taking an executable algorithm through architecture decisions, checked RTL, implementation, and a defined hardware acceptance test. Each delivery keeps its assumptions and evidence together.
Discuss a platform evaluationAn executable Python or MATLAB reference, target device and board, representative workload, throughput and latency constraints, interfaces, and a named acceptance owner.
An architecture and evidence contract, checked models and RTL, implementation reports, integration packages, and an on-silicon acceptance record when the board is in scope.
Freeze behavior, precision, interfaces, target hardware, and pass criteria before comparing architectures.
Develop an independent reference, a cycle-aware model, and a synthesizable RTL candidate.
Run bit and cycle comparisons, implementation tools, and negative controls against the stated contract.
Package reports and integration assets. Run a scoped board test where deployment is part of the engagement.
AI can propose candidates. Deterministic tools execute them. Independent checks and the responsible engineer decide acceptance.
Available packages depend on the target and agreed scope. Python2Verilog complements synthesis, place-and-route, simulation, formal verification, and board tools; it does not replace their results or engineering sign-off.
How the evidence is checkedA pilot starts with your reference, target hardware, representative data, and acceptance criteria. The outcome is an inspectable delivery package and a decision about the next scope, not a preset speedup claim.
Read the deployed WLAN system case study and the LDPC product evidence. Their results apply to the stated devices, builds, and workloads.