Quantum + AI · QUAEL for Trading
Trade in under 500 nanoseconds, without trading away intelligence.
Our platform runs QUAEL, the Quantum + AI engine, for hedge funds, proprietary desks, and market makers. Your signals execute on AI-designed silicon faster than classical systems can, and risk prices across your correlated book in real time instead of overnight. Speed and smarts, on the same box.
The Vertical · Institutional trading
Where microseconds and models decide who wins.
Institutional trading runs on a brutal trade-off: be fast, or be smart, rarely both, and never at the scale today's 24/7, T+0 markets demand. The firms that can buy custom silicon pull away; everyone else prices risk overnight and leaves alpha on the table. QuantaBull dissolves the trade-off.
You pick fast execution OR smart prediction, never both. Speed costs you alpha.
→Sub-500ns execution and real-time risk on the same box, speed and intelligence together.
Custom speed means $600K–$20M ASIC builds and an in-house silicon team. 99% of firms are priced out.
→The same hardware edge, delivered as a product, no silicon team, no eight-figure build.
Risk math breaks past ~50 correlated assets, so portfolios are priced overnight, not live.
→Quantum-grade scaling tracks your full correlated book and rebalances intra-day.
RSA/ECC cryptography is exposed the moment quantum-capable adversaries arrive.
→Post-quantum security built into the foundation, before the mandates land.
Quantum Computing
Special-purpose quantum, built for finance.
Like a TPU for quantum, an accelerator purpose-built for finance's hardest math: correlation, risk, optimization, and arbitrage search.
Quantum-inspired, on compute you can buy
Tensor-network and amplitude methods run on GPUs and custom ASICs, delivering real speedups on live workloads, quantum-grade results, today.
Quantum-native as the hardware arrives
Partner QPUs, IBM, IonQ, Rigetti, plug into the same QFabric layer via NVQLink, and the custom ASICs evolve with them. No rewrite.
The QFabric stack
A quantum-classical software stack that turns finance problems into circuits and runs them across any backend.
Application Interface
Finance-optimized algorithm templates, risk, portfolio optimization, options pricing, DeFi analytics, with circuit builders and automated result post-processing.
Financial IR
A proprietary intermediate representation (extends OpenQASM 3.0) that treats correlation and covariance as first-class primitives, with real-time classical control.
Compilation & Optimization
Multi-stage transpiler: gate decomposition, noise-aware optimization, and zero-noise extrapolation, roughly 3–5× circuit-depth reduction versus naive compilation.
Backend Abstraction
One API across providers, GPUs and partner QPUs (IBM, IonQ, Rigetti), with intelligent workload routing and sub-microsecond scheduling.
The advantage, in numbers
Where classical systems hit a wall, special-purpose quantum acceleration keeps scaling.
| Capability | Classical | QuantaBull | Advantage |
|---|---|---|---|
| Risk calculation (100×100 matrix) | ~2.0s (Monte Carlo) | ~50ms | ~40× faster |
| Tick-to-trade latency | 5–50 µs | 100–500 ns (custom ASIC) | 10–100× faster |
| Correlated-asset tracking | ~50 (O(N²) wall) | 100s–1,000s (O(√N)) | 10–100× scale |
| Portfolio rebalancing | Overnight batch | Intra-day, real-time | Continuous |
Near-term figures are target / benchmark results from quantum-inspired methods on GPUs + custom ASICs; quantum-native hardware extends the same advantage as it matures.
Physical AI
The silicon is the product, AI-designed, AI-run.
QuantaBull's edge isn't rented on a generic cloud. It's silicon that AI designs, and silicon that AI runs on to make quantum reliable.
QFoundry builds the custom ASICs
QFoundry is our AI-native silicon-design engine. It produces the custom ASICs that give QuantaBull its execution edge, designed in a fraction of a traditional design house's time and cost, and evolving as fast as the strategies that run on them.
The Neural Layer, AI for quantum
Four fine-tuned AI-for-quantum models make small, noisy quantum machines reliable enough to trade on, plus an intelligence layer that adapts strategy and detects spoofing with no added execution latency.
- Pulse calibrates · Shield error-corrects
- Oracle feeds market data · Ignite warm-starts
- Latency-aware routing + spoof detection
The accelerator stack
Custom silicon for the execution path, GPUs for quantum-inspired workloads, partner QPUs as they mature, one engine across all three.
Custom ASICs
Purpose-built accelerator silicon, designed by QFoundry. The execution path: 100–500ns tick-to-trade and real-time risk and limit checks in hardware.
Traditional compute (GPUs)
GPUs and CPUs run the quantum-inspired workloads, tensor networks, amplitude estimation, and the hybrid pre/post-processing, delivering real speedups now.
Partner QPUs
IBM, IonQ, and Rigetti plug into the same QFabric layer via NVQLink as the hardware matures, no rewrite, your code just gets faster.
Use case · Institutional markets
Sub-microsecond execution at portfolio scale.
The beachhead is institutional trading, equities, futures, options, FX, and crypto, benchmarked against the classical systems most desks run today.
Real-time risk
VaR / CVaR across thousands of scenarios in ~50ms instead of overnight batch.
Portfolio optimization
QUBO across your full correlated book, more alpha per dollar of AUM.
Statistical arbitrage
Sub-microsecond Grover search for multi-leg opportunities across venues.
Correlation & basket trading
QTNP correlation discovery with regime-aware baskets.
DeFi & crypto
Cross-exchange arbitrage and MEV-aware execution; quantum-resistant settlement.
Sub-500ns versus the 5–50µs classical desks run today.
Past the ~50-asset wall, your full correlated book, priced live.
Defensible IP across execution, risk, and the AI-for-quantum layer.
Ideal customer profile
Who this is built for, and who it isn't.
- ●Hedge funds and proprietary trading desks where execution speed directly drives P&L.
- ●Market makers who need risk and limit checks at the same latency as the quote.
- ●Asset managers running large, highly correlated portfolios where overnight rebalance leaves money on the table.
- ●Firms that want the silicon edge as a product, not an eight-figure build with their own ASIC team.
- ○Retail brokerages or low-volume strategies where microseconds don't move the P&L.
- ○Long-horizon discretionary funds whose edge is research, not execution.
- ○Teams wanting a black-box signal service. QuantaBull runs your strategies, not ours.
Research & IP
The IP behind the accelerator.
Seven patents across execution, risk, and the AI-for-quantum layer, three filed, four drafting. The moat compounds as the stack compounds.
Low-Latency Quantum Search for High-Frequency Statistical Arbitrage in Fragmented Markets
A quantum pattern-matching engine achieving sub-microsecond arbitrage detection with quadratic (√N) speedup.
Quantum Tensor Networks for High-Dimensional Correlation Discovery in Basket Trading
Matrix Product States, Entanglement Mapping Units, and sliding-window quantum memory for real-time correlation at O(log N) memory.
The Neural Layer, AI-for-Quantum Calibration, Decoding, Oracles & Warm-Starts
Four filings (Pulse, Shield, Oracle, Ignite) covering the AI that makes NISQ-era quantum reliable enough to trade on.
Ready to see it on your venues?
Bring a workload. We'll benchmark sub-500ns against the classical system your desk runs today.