How QuantFenix works

Cloud prices, queue lengths, and QPU noise shift weekly. Static tuning breaks. We provide continuous optimization with canary runs and budget guardrails.

1

Upload your problem

Upload your optimization problem in CSV format or connect via our API. We support various problem types including VRP, scheduling, and portfolio optimization.

CSV file upload
API integration
Multiple problem formats
File Upload

Drag and drop your CSV file here

or click to browse

AI Analysis
Problem complexity
Medium
Recommended backend
AWS Braket
Estimated cost$45.20
2

Analyze automatically

We run continuous canary comparisons across backends, auto-routing based on quality, cost, and latency with controlled exploration within your budget constraints.

Continuous canary comparisons
Auto-routing by quality/cost/latency
Budget-capped exploration
3

Get detailed report

Every run gets an audit-ready manifest for full traceability and reproducibility, with detailed cost analysis and optimization recommendations.

Audit-ready manifest
Full traceability & reproducibility
KPI guarantee documentation
Cost Report

Cost Breakdown

Compute cost$32.50
Data transfer$8.20
Storage$4.50
Total$45.20

Advanced features

Everything you need for quantum computing cost optimization

API Integration

Seamless integration with your existing quantum computing workflows

Multi-backend Support

Support for AWS Braket, IBM Quantum, Rigetti, and more

Real-time Monitoring

Monitor costs and performance in real-time across all backends

How we're different

Problem-first, provider-agnostic, with measurable ROI and built-in budget guardrails.

Problem-first, not cluster-first

Most cost tools optimize clusters and instances. QuantFenix optimizes the job and selects the right compute path for that specific problem and budget.

Built for measurable ROI

We focus on quality, cost, and latency per run. Each run produces a clear summary: what ran, why, cost, and improvement — so tech, data, and finance share one number.

Budget guardrails by design

Budget caps and pre-run estimates are built in. You set the ceiling — no run exceeds it.

Provider-agnostic and future-proof

IBM, AWS, Rigetti, classical solvers and simulators — no lock-in. As the landscape changes, keep choosing the best value.

Compliance without friction

EU/US data residency, BYOC, and a traceable run log. Easy for audit and legal without exposing your business data.

From upload to outcome

Upload → run → get a decision and a report. No deep toolchain required. Teams move from PoC to production faster.

What you get (no jargon)

  • Clear decisions: recommended path (classical/hybrid/quantum) per job.
  • Visible savings: per1run report with cost, performance, and baseline delta.
  • Control: budget caps, policies, and environment choices per job.
  • Flexibility: run in your environment with your keys or via QuantFenix cloud.
  • Assurance: residency, access, and traceability aligned to your requirements.

How we compare (plain language)

  • Infra optimization (Kubernetes/Spot/GPU): they cut infra price; we cut decision cost (routes, schedules, portfolios) 1 where value happens.
  • QC performance layers: they tune a chosen QPU; we choose between classical and quantum for your targets and budget 1 vendor0neutral.
  • Orchestration tools: they help you build pipelines; we help you make decisions and show the ROI in currency and seconds.

Audit0ready

Every run comes with a shareable summary for CFO/Legal.

Data residency

EU/US selectable from the start.

Ownership

You own your keys, environments, and results.

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