QuantFenix: Hybrid Compute for Optimization Problems
In today's complex technology landscape, businesses face the challenge of choosing the right computational backend for their optimization problems. With QuantFenix, we've developed a platform that automatically selects the most cost-effective solution between classical and quantum computers – without burning your budget.
The Problem We Solve
When you model an optimization problem (e.g., "best route for 50 deliveries"), you encounter:
- Many backends: OR-Tools (classical, local), IBM Quantum, AWS Braket, Rigetti, D-Wave, and more – each with different APIs and cost/latency profiles
- Tough trade-offs: cost vs. solution quality vs. runtime. You need a principled, repeatable way to choose
- Operational friction: varying SDKs, credentials, and formats; keeping costs in check; ensuring reproducibility and auditability
The QuantFenix Solution
Unified Platform
- Policy-based selection: e.g., 60% cost, 30% latency, 10% quality
- Budget enforcement: stop or warn when spend exceeds threshold
- Reproducible runs with signed manifests
- Offline-friendly baselines via OR-Tools
How It Works
Step 1 – Upload your data
CSV/Parquet for VRP, scheduling, or portfolio optimization. No lock-in. Your account, your credentials (BYOC).
Step 2 – Continuous optimization with canary runs
We run continuous canary comparisons across backends, auto-routing based on quality, cost, and latency with controlled exploration within your budget constraints.
Step 3 – Get an audit-ready report
Every run gets an audit-ready manifest for full traceability and reproducibility. PDF with cost, runtime, quality metrics, and recommended policy.
Why QuantFenix?
Cost-First Approach
- Guaranteed ≥20% savings with typical results of 30–60% lower compute cost compared to manual/legacy runs
- Continuous adaptation – cloud prices, queue lengths, and QPU noise shift weekly; we adapt automatically
- BYOC – you own the keys (AWS Braket, IBM, etc.). We orchestrate
Technical Advantages
- Vendor-agnostic – avoid lock-in. Auto-route by quality/cost/latency
- Audit-ready – every run gets a manifest for full traceability and reproducibility
- KPI guarantee – ≥20% cost savings on selected workloads, or pay nothing for the pilot
Hyperity's Role
As a technical partner, Hyperity has been involved in developing the QuantFenix platform from the ground up. Our expertise in digital transformation and optimization algorithms has been crucial in creating a robust, scalable solution that balances cost-effectiveness with technical excellence.
We continue to be involved in the platform's development and can help your company implement QuantFenix to optimize your computational resources.
Use Cases
- E-commerce delivery optimization (VRP)
- Warehouse inventory allocation (Knapsack/variants)
- Staffing & job scheduling (hard constraints + soft penalties)
- Portfolio optimization (financial services)
- Supply chain optimization (multi-objective problems)
Getting Started
Test QuantFenix with your own dataset and experience the cost savings yourself. The platform is built by engineers for engineers, with focus on FinOps rather than hype.
Ready to learn more about QuantFenix and how Hyperity can help you implement hybrid compute solutions? Contact us or visit QuantFenix to get started.