Enterprise Quantum Advantage
Unlock Quantum Scale.
In Weeks, Not Years.
Scale beyond classical limits for logistics, energy, and pharma. Deploy hybrid quantum infrastructure that drives 10x faster decisions and 50% lower costs today.
Trusted Infrastructure for High-Scale Enterprise
Why the C-Suite Chooses BAX
Move from "R&D experiment" to "Production ROI".
100x
Faster Optimization
Solve complex routing and grid problems in milliseconds that take days on classical clusters.
50%
Cost Reduction
Drastically lower compute costs by offloading specific hard problems to our energy-efficient Q-Engine.
4 Weeks
Time to Value
Skip the 5-year research roadmap. Deploy a working hybrid prototype in under a month.
The Complete Photonic Platform
We don't sell science experiments. We deliver a unified, enterprise-ready platform that combines proprietary hardware with expert human intelligence.
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1
BAX Q-Engine™ (Product) Our proprietary photonic annealing hardware. Room temperature. Low power. Light speed.
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2
BAX AI Labs (Services) The implementation experts. We staff the PhDs and engineers so you don't have to.
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3
BAX Quantum Cloud Secure, scalable access via API. Integrate with your existing cloud stack today.
Input
Complex Optimization Problem (Logistics, Grid, Risk)
BAX Q-Engine™
Photonic Annealing Process
Output
Global Minimum (Optimal Solution)
Stop Searching.
Start Tunneling.
Classical computers solve problems by walking every path of a maze one by one. It takes too long.
Quantum Annealing is different. Imagine looking for the lowest valley in a vast mountain range. Instead of climbing over every peak, our proprietary technology uses quantum effects to "tunnel" through the hills, instantly finding the optimal solution (the lowest energy state).
The BAX Optimization Advantage
- Logistics & Fleet Routing
- Energy Grid Balancing
- Portfolio Optimization
- Protein Folding & Discovery
The Executive Decision
Why enterprise leaders prioritize our Photonic Hybrid architecture.
| Metric | BAX Photonic Hybrid | Classical Compute | Gate-Model Quantum |
|---|---|---|---|
| Time to Deploy | 4 Weeks | Immediate | 5-10 Years (R&D) |
| Cost Model | Predictable SaaS | High OpEx (Energy) | $10M+ Upfront CapEx |
| Scalability | High (Photonic) | Limited (Moore's Law) | Low (Noise/Errors) |
| ROI Timeline | Immediate (Q1) | Incremental | Decade+ |
Technical Specifications (For CTOs)
Our Q-Engine utilizes a Coherent Ising Machine (CIM) architecture based on degenerate optical parametric oscillators (DOPOs). This allows for fully connected graph mapping without the limitations of physical qubit connectivity found in superconducting circuits.
- Problem Class: NP-Hard Combinatorial Optimization (Ising/QUBO formulations).
- Connectivity: All-to-All (Virtual coupling via FPGA measurement-feedback).
- Operation: Room Temperature (No dilution refrigerators required).
- Stack: Python-based SDK (BAX Q-SDK) compatible with standard ML libraries (PyTorch/TensorFlow).