From classical risk
to quantum-secure advantage.
Qevora helps enterprises adopt AI and quantum-safe security the right way — not by patching classical infrastructure, but by rebuilding trust in it from first principles: AI security, post-quantum cryptography, and quantum key distribution.
Built for the transition, not the patch.
Qevora Inc (Qevora.ai) is a consulting firm focused on one transition: helping enterprises move from classical AI and classical cryptography to quantum-secure, AI-native operations.
Most vendors bolt quantum-safe algorithms onto legacy architecture, or bolt AI governance onto legacy security. We don't. Every engagement starts from a quantum-AI-native threat model — what your systems need to withstand harvest-now-decrypt-later attacks, adversarial AI, and the coming cryptographically-relevant quantum computer — and works backward to a roadmap your team can execute.
We are an assessment-first practice: we diagnose exposure and quantify ROI before we recommend a single tool or vendor.
Four disciplines. One quantum-native lens.
Every engagement is delivered as an assessment first — findings, risk exposure, and a quantified ROI model — before any recommendation is made.
AI Security Assessment
Threat-model and harden LLM applications, agentic systems, and ML pipelines against prompt injection, data exfiltration, model poisoning, and supply-chain risk.
- AI attack-surface mapping (models, agents, data, tooling)
- Adversarial & red-team evaluation
- Governance and guardrail design
Post-Quantum Cryptography (PQC) Migration
Inventory every classical cryptographic dependency and build a migration path to NIST-standardized post-quantum algorithms — with zero disruption to production systems.
- Crypto-asset discovery & harvest-now-decrypt-later exposure
- Migration roadmap: ML-KEM, ML-DSA, SLH-DSA
- Hybrid classical/PQC transition planning
Quantum Key Distribution (QKD) Readiness
Assess where QKD delivers real assurance — high-value links, regulated data, critical infrastructure — and design hybrid QKD + PQC architectures that fit your network reality.
- QKD use-case & feasibility assessment
- Hybrid QKD/PQC architecture design
- Vendor-neutral technology evaluation
AI + Quantum Adoption Consulting & ROI
Enterprise-wide transformation strategy that sequences AI adoption and quantum-safe security together — with a quantified business case for every phase.
- Quantum-AI readiness & maturity assessment
- Risk-quantified ROI & investment sequencing
- Board-level roadmap & governance model
Quantum-AI native. Not classical, retrofitted.
Not this Classical-first security
Treats quantum and AI risk as future add-ons to existing perimeter security — patched in after the fact, once a standard is finalized or a breach forces the issue.
This Quantum-AI native design
Starts from the assumption that cryptographically-relevant quantum computers and adversarial AI are the baseline threat model — today. Architecture, vendor choice, and roadmap sequencing all derive from that assumption.
Not this Tool-first recommendations
Leads with a product or platform, then justifies it with a risk narrative built to fit.
This Assessment-first, ROI-quantified
Leads with independent discovery and risk quantification. The roadmap — and any product or partner recommendation — is the output of the assessment, not the starting point.
From assessment to platform.
Our consulting engagements are shaping a product line for continuous quantum-AI risk monitoring. Currently in development.
Qevora Assess
Continuous crypto-inventory and AI attack-surface discovery platform — automating the assessment layer behind our consulting engagements.
Qevora ROI Model
A quantified business-case engine for sequencing PQC, QKD, and AI security investment across an enterprise portfolio.
Building a vendor-neutral ecosystem.
We work alongside cloud providers, HSM and key-management vendors, quantum hardware and QKD network operators, and AI security tooling providers — recommended only where an assessment supports it.
Start with an assessment.
Tell us about your environment and we'll scope a quantum-AI readiness assessment — no obligation, no product pitch.