About nerous.ai
We're on a mission to revolutionize anti-money laundering with cutting-edge artificial intelligence, making financial systems safer and more transparent.
nerous — Finnish for Genius, Ingenuity, Brilliance
Our name embodies our commitment to ingenious solutions for complex financial crime challenges. Just as the Finnish concept of "nerous" represents innovative thinking and brilliant problem-solving, we bring that same spirit to reimagining anti-money laundering through artificial intelligence.
Our Mission
At nerous.ai, we believe that combating financial crime requires more than traditional rule-based systems. Our AI-native approach transforms how financial institutions detect, investigate, and prevent money laundering.
Founded by experts in artificial intelligence, financial compliance, and cybersecurity, we combine deep domain knowledge with cutting-edge technology to deliver solutions that are both powerful and practical.
Our platform learns and adapts continuously, staying ahead of evolving threats while reducing the burden on compliance teams.
Our Technology
Built on state-of-the-art AI research with a focus on transaction monitoring and pattern detection.
🧠Graph Neural Networks
Our core technology uses Graph Neural Networks (GNNs) to analyze the entire transaction network as a connected graph. Unlike traditional systems that examine transactions in isolation, we analyze how money flows through multi-hop relationships.
- ✓GraphSAGE architecture with attention mechanisms
- ✓128-dimensional entity embeddings
- ✓Multi-hop analysis (up to 10 degrees of separation)
📊Behavioral Analytics
Instead of relying solely on fixed rules, we build behavioral profiles for each entity (customer, account, merchant). Our models learn what's "normal" and flag statistical outliers, adapting continuously to new patterns.
- ✓Unsupervised anomaly detection (Isolation Forest)
- ✓Deep autoencoders for pattern reconstruction
- ✓Personalized risk baselines per entity
🔍Temporal Pattern Recognition
LSTM and Transformer models analyze transaction sequences over time to detect known money laundering typologies like structuring, layering, and rapid movement patterns.
- ✓Time-series analysis with LSTM networks
- ✓Velocity and frequency pattern detection
- ✓Circular transfer and smurfing identification
⚙️Continuous Learning
Our models don't remain static. We employ continuous learning techniques that allow the system to adapt to new money laundering tactics without manual rule updates.
- ✓Real-time model updates from feedback loops
- ✓Active learning from analyst investigations
- ✓Automated feature engineering pipeline
Training Data & Methodology
Our Values
Integrity
We operate with the highest ethical standards, ensuring transparency and trust in every interaction.
Innovation
We continuously push the boundaries of what's possible with AI, staying at the forefront of technological advancement.
Partnership
We work closely with our clients, treating their success as our own and building lasting relationships.
Why Anti-Money Laundering Matters
Money laundering enables organized crime, terrorism, and corruption, with an estimated $2 trillion laundered globally each year. Traditional AML systems struggle to keep pace with increasingly sophisticated criminal networks.
That's where we come in. By leveraging advanced machine learning and artificial intelligence, nerous.ai empowers financial institutions to detect and prevent financial crime more effectively than ever before. Our technology doesn't just flag suspicious activity—it learns, adapts, and evolves to stay ahead of emerging threats.
Together, we're building a safer, more transparent financial ecosystem for everyone.
Meet Our Team
A passionate group of AI researchers, financial compliance experts, and security engineers dedicated to making the financial world safer.
Our team brings together deep expertise in machine learning, regulatory compliance, and financial crime prevention. We're united by a common mission: to leverage cutting-edge AI to protect financial institutions and their customers from money laundering and financial crime.