You have legacy systems you're contractually or operationally required to modernize. Until now, AI-driven modernization tooling couldn't operate inside the secure environments where the work has to happen. Mirepoix is the productized commercial platform that runs the entire modernization workflow inside your own infrastructure — and proves your source code never left. New tooling, delivered through the trusted partners you already work with.
Modernization has always had to choose between operating where AI couldn't help (inside the perimeter, with conventional tooling) and operating where AI could help (outside the perimeter, on hosted SaaS). Mirepoix closes that gap. The same partners delivering modernization today get a new capability: AI-driven port, multi-agent review, and equivalence validation running inside the customer's own infrastructure, with cryptographic proof of isolation.
Modernization is delivered by partners with deep engineering experience and existing customer relationships. The work happens with the tooling the market has had — which has not, until now, included AI assistance that can operate inside the customer's perimeter.
Mirepoix is the platform. Your own infrastructure is the perimeter. Your engineers — or your contractor's certified operators — drive the engagement. The source never leaves. Same partners, faster outcomes, new capabilities they could not previously offer.
Mirepoix's modernization pipeline runs entirely on your own confidential-compute infrastructure. No stage requires source code, models, or operational telemetry to leave the customer enclave. Every output is reviewable, every decision is logged, every port is equivalence-validated against the legacy.
Architecture graph, dependency-ordered tour, per-module summaries. Built live, in the enclave, from real source.
Generate the modernized port to the target language (Rust, Go, modern C++, TypeScript) following the dependency tour.
Two independent reviewer agents adjudicate each port. Hallucinations and integration errors are caught before they ship.
Generated test suites compare modernized code against legacy behavior. Numerical equivalence to ten decimal places where applicable.
Full JSONL log of every decision, tool call, reviewer verdict, and validation outcome. Replayable for compliance, audit, and forensics.
Every other AI coding platform asks you to accept four implicit trust assumptions. Attested modernization removes all four and proves the removal cryptographically — verifiable by your own security team without coordination with the vendor.
Not a bespoke build. Not a research collaboration. Standard SKUs, standard licensing, suitable for direct procurement.
Runs on Red Hat OpenShift with Intel TDX or AMD SEV-SNP worker nodes. Compatible with FedRAMP, IL4 / IL5, and commercial confidential-compute environments.
Open-weight code models of your choice, deployed by you, in your enclave. You choose the model. You control the weights. You audit inference. No external API.
Methodology certification is a prerequisite for engagement delivery. Standard curriculum, repeatable training, brand quality protection.
Cleared federal contractors win modernization business on their existing agency relationships and cleared engineering capacity. Mirepoix supplies the productized platform that gives those engagements a new set of AI-driven capabilities — equivalence-validated port outputs, multi-agent quality controls, full audit trails — all running inside the agency's enclave. Be the first contractor at the agency table with attested AI modernization that meets compliance.
Mirepoix is licensed to the contractor under standard COTS terms. The contractor's certified operators run the platform inside the agency's enclave under the contractor's existing ATO. Mirepoix operators outside the enclave never touch agency source code.
This is the model for engagements where the customer's compliance posture (FedRAMP, IL4/IL5, ITAR, controlled-IP financial services) does not permit a commercial AI vendor to operate directly — but does permit the contractor to bring productized COTS tooling into work they already have authorization to perform.
The platform's founding deployment runs the full modernization pipeline on a Python-to-Rust port inside locked-down, hardware-secured infrastructure with no network connectivity to the outside. Every claim on this page has been validated in production.
Numerical equivalence between modernized Rust output and reference PyTorch implementation, measured on an internal validation run (2026-05-25).
Generate, compile, self-correct on build error, re-generate, re-compile, validate — full cycle on a representative model. Months of consulting work, compressed.
Sustained throughput on a 30B-parameter open-weight code model running on a single NVIDIA A100 inside attested isolation. Roughly sixty concurrent operator sessions per A100 under typical bursty load.
Bring a representative legacy module. We map and modernize it in real time, on hardware-secured infrastructure you can independently verify, with multi-agent review and equivalence validation. Fifteen to twenty minutes. Cryptographic proof at the end.