CUSTOM AI DEVELOPMENT · ANOMALY DETECTION
AI-POWERED ANOMALY DETECTION
Spot the irregularities that matter, before they become costly failures, fraud or defects.
We build bespoke anomaly detection models that learn what normal looks like in your systems, transactions or production lines, then flag deviations in real time. The result is proactive maintenance, stronger security and fewer surprises, tuned to your data rather than a generic rule set.
Proprietary neural networks, image processing and genetic algorithms
Same team and engine as Prime AI’s production software
Deployment on cloud, on-premise or edge
THE PROBLEM
WHY ANOMALIES SLIP THROUGH
Most organisations already collect the data that would reveal a problem early. The challenge is spotting the signal in time.
STATIC RULES
Fixed thresholds miss new patterns and generate false alarms, so teams start ignoring alerts.
LATE DISCOVERY
Failures, fraud and defects are often found after the damage is done, when they are most expensive to fix.
TOO MUCH DATA
Logs, sensor readings and transactions arrive faster than people can review them.
GENERIC TOOLS
Off-the-shelf platforms are built for every use case, which makes them rigid and slow to adapt to your environment.
WHAT WE BUILD
ANOMALY DETECTION BUILT AROUND YOUR DATA
Each model is trained on your own historical data and integrated with your alerting and workflows.
REAL-TIME SYSTEM MONITORING
Continuous analysis of system behaviour that flags unusual patterns before they escalate into critical failures, with automated alerts for a rapid response.
PREDICTIVE MAINTENANCE
Models that learn from historical data to identify early warning signs of mechanical or infrastructure failure, reducing unplanned maintenance and extending asset life.
FRAUD DETECTION & SECURITY
Pattern recognition across networks and transactions to detect financial fraud, cyber threats or unauthorised access in real time.
PROCESS & QUALITY CONTROL
Early identification of production inconsistencies and defects, reducing waste and keeping processes within specification.
Have a monitoring, fraud or quality problem in mind? Tell us about it.
PRIME AI PRODUCTS
ANOMALY DETECTION IN PRODUCTION TODAY
For online fraud and abuse, our own products already apply anomaly detection to visitor and customer behaviour.
Device intelligence: a persistent device ID and real-time risk signals for every visitor, used to stop refund abuse, multi-accounting and promo abuse.
Identifies serial returners, wardrobers and bracketers hiding behind anonymous guest checkouts, the policy abuse that standard card-fraud tools miss.
Custom work is built by the same team, on the same proprietary engine (neural networks, image processing and genetic algorithms), so you can start with a product and extend it with bespoke AI.
HOW WE WORK
FROM FIRST CALL TO PRODUCTION
01
FREE CONSULTATION
Explain your challenge, or just explore how AI could streamline and enhance your current business practices. No commitment.
02
DISCOVERY & SCOPING
We review your data, systems and success criteria, then propose an approach, timeline and budget range.
03
PROOF OF CONCEPT
A focused prototype on your own data, so you can judge accuracy and value before scaling.
04
PRODUCTION & MLOps
Deployment to cloud, on-premise or edge, with monitoring, retraining and ongoing support.
PREGUNTAS FRECUENTES
ANOMALY DETECTION FAQ
Unusual system behaviour, early signs of equipment or infrastructure failure, suspicious transactions and network activity, and production defects or inconsistencies. The model learns what normal looks like from your historical data and flags meaningful deviations.
Rules only catch the patterns someone thought of in advance. Machine learning models learn from the data itself, so they can flag new or subtle deviations, and they can be retrained as your systems change.
Yes. Models are built around your own data. During discovery and scoping we review what data you have, its quality and format, and whether more is needed before committing to an approach.
Yes. We deploy models across cloud, on-premise or edge environments, with CI/CD, version control, monitoring, drift detection and automated retraining to keep them accurate over time.
Every project is scoped individually, based on the problem, the data available and the accuracy and integration required. We usually start with a focused proof of concept on your own data, and you get an approach, timeline and budget range before any commitment.
You explain your challenge, or simply explore how AI could streamline and enhance your current business practices. We’ll tell you honestly whether AI is the right tool and, if it is, what a sensible first step looks like. There’s no commitment.
RELATED
CUSTOM AI IN RELATED INDUSTRIES
TELL US WHAT YOU NEED TO CATCH EARLIER
Book a free consultation. We will tell you honestly whether AI is the right tool and, if it is, what a sensible first step looks like.