Every day, banks and financial institutions process millions of transactions — payments, transfers, withdrawals, online purchases, and more. Most of these are legitimate.

But some are not.

The Challenge

Fraudsters constantly evolve their tactics. Traditional systems struggle with:

Novel Fraud Patterns: Attacks that have never been seen before.

Subtle Anomalies: Transactions that are individually small but part of a larger fraudulent scheme.

Speed vs. Accuracy: The need to approve legitimate transactions quickly while catching fraud.

Often, the fraud is:

• Fast and short-lived.

• Spread across different locations.

• Hidden within massive volumes of data.

And when banks rely on outdated detection systems, they end up with:

• Too many false alarms (flagging good customers by mistake).

• Missed subtle fraud patterns that are complex and organized.

Our Quantum-Inspired Solution:

At HessQ, we believe that complex problems require smart, flexible logic. We built a detection engine inspired by quantum computing principles, but optimized to run on classical infrastructure. This means: No quantum hardware needed — just powerful logic.

The Result:

HessQ gives you a smarter, sharper fraud detection system — one that:

Learns from your data, Catches more fraud, with fewer mistakes, Works fast, even on large transaction volumes, Is ready now — no quantum computer required.

HessQ doesn’t just flag anomalies — it understands them, allowing financial institutions to act smarter, faster, and more confidently.

Why HessQ Outperforms Traditional Models

The comparison highlights a critical truth: traditional fraud detection tools struggle to keep up with today’s financial complexity.

92%

Accuracy

HessQ achieves up to 92% detection accuracy, compared to 85% in traditional models.

This difference is more than just numbers:

• More fraudulent transactions are caught before damage is done.

• Your team spends less time reviewing false leads.

• Customers experience fewer disruptions.

HessQ drastically reduces false positives by applying quantum-inspired optimization (QUBO), focusing only on the most anomalous patterns.

• Less noise

• Fewer escalations

• Happier customers

HessQ runs fast, even on large datasets, thanks to scalable optimization algorithms inspired by quantum computing.

• Real-time detection

• Fast decision-making

• No need for quantum hardware

False Positive Rate

Speed and Scalability