Engineering for quantum readiness
Engineering-led, not slideware. You get a cryptography inventory of your real code and infrastructure, a prioritized migration roadmap, and working code — hybrid post-quantum TLS, crypto-agile libraries, and quantum-ready optimization prototypes.
- Cryptography inventory (CBOM) across code, dependencies, certificates and vendors
- Harvest-now-decrypt-later risk ranking by data lifetime
- Migration roadmap to ML-KEM (FIPS 203), ML-DSA (FIPS 204) and SLH-DSA (FIPS 205)
- Crypto-agility refactors so algorithms can be swapped by config
- Hybrid post-quantum TLS and key exchange pilots
- Vendor and third-party PQC readiness questionnaires
- Quantum and quantum-inspired optimization prototypes (routing, scheduling, portfolio)
- Cloud quantum SDK pilots (Qiskit, Amazon Braket, Azure Quantum)
- Board-ready summary tied to NIST and CNSA 2.0 timelines
// outcomes
What teams get
Know your exposure
A complete map of where vulnerable cryptography lives in your stack.
A plan with dates
Prioritized by data sensitivity and regulatory deadlines, not hype.
Working code
Hybrid PQC running in a pilot service, proven before rollout.
// common use cases
Where we plug in
- → Financial services data with 10+ year confidentiality
- → Healthcare records and long-lived PHI
- → Government contractors facing CNSA 2.0 requirements
- → SaaS vendors answering customer PQC questionnaires
- → Logistics and scheduling optimization pilots
- → Firmware and code-signing modernization
// get your software ready for the quantum era faq
Frequently asked questions
- What does NextGen build for get your software ready for the quantum era?
- Engineering-led, not slideware. You get a cryptography inventory of your real code and infrastructure, a prioritized migration roadmap, and working code — hybrid post-quantum TLS, crypto-agile libraries, and quantum-ready optimization prototypes. Typical scope covers cryptography inventory (cbom) across code, dependencies, certificates and vendors, harvest-now-decrypt-later risk ranking by data lifetime, migration roadmap to ml-kem (fips 203), ml-dsa (fips 204) and slh-dsa (fips 205), crypto-agility refactors so algorithms can be swapped by config — delivered by senior U.S.-based engineers who stay on the engagement through production and handover.
- Which get your software ready for the quantum era projects are the best fit?
- The strongest fits are financial services data with 10+ year confidentiality, healthcare records and long-lived phi, government contractors facing cnsa 2.0 requirements. If the work touches regulated data, legacy integrations, or a delivery deadline you can't miss, that's exactly where an embedded senior pod pays for itself.
- How quickly can a team start?
- Most engagements begin within 7-14 days of the scoping call. We pre-vet engineers by domain, so you get someone who has shipped comparable systems instead of a generalist learning on your budget.
- How is the engagement priced?
- Fixed-scope builds are quoted after a short discovery and architecture sprint, and dedicated pods run on transparent monthly rates. You own the code and cloud accounts either way.
- Is delivery onshore?
- Yes. Delivery is 100% U.S.-based on Eastern-time hours, with senior leadership in the NYC metro available for on-site working sessions, architecture reviews, and stakeholder demos.
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