A controlled workflow for choosing the right backend with less waste and better evidence
Upload your optimization data or connect an existing workflow through the API
Compare baselines and alternatives using cost, latency, quality, and budget rules
Share audit-ready reports, manifests, and benchmark results with stakeholders
Built for technical teams that need governance, reproducibility, and vendor-neutral backend decisions
Compare classical, hybrid, and quantum-adjacent backends without lock-in
Run baselines and alternatives under the same methodology
Enforce caps and reduce wasted experimentation before costs spiral
Keep control of credentials, environments, and provider relationships
Fit backend decision-making into existing optimization pipelines
Balance quality, cost, and latency with explicit decision rules
Generate manifests and reports that engineering, finance, and leadership can review
Governance features that help technical teams evaluate and run workloads with less risk
Bring your own credentials and keep control of provider access
Use local checks and controlled upload flows for sensitive workloads
Every run can produce traceable artifacts for technical and business review
Set hard spending limits before jobs run across expensive backends
Common questions about our routing and optimization approach
QuantFenix helps teams compare baselines and alternative backends under explicit policy rules for cost, latency, quality, and budget. The goal is disciplined backend selection, not blind automation.
We do not promise the same outcome for every workload. In pilots, we define a narrow scope, set success criteria in writing, and measure value with a locked baseline and clear reporting.
No. Classical baselines are a core part of the product. QuantFenix is designed to help teams evaluate and govern workloads across classical, hybrid, and emerging quantum options without locking themselves into one path.
Start with a structured pilot and see where QuantFenix reduces waste, improves decision confidence, and adds governance to optimization runs.