Predict Trends. Detect Anomalies. Prevent Disruptions.
Harness AI-powered time series and anomaly detection to identify patterns, forecast future events, and catch irregularities before they cause costly problems.
Overview
GullyAI's Time Series Analysis & Anomaly Detection solutions transform raw, time-stamped data into clear forecasts and alerts. Using advanced statistical models, deep learning architectures, and domain-specific tuning, we help businesses detect irregularities, predict demand, and mitigate risks in real time. Whether it's financial fraud prevention, IoT sensor monitoring, energy consumption optimisation, cybersecurity breach detection, or supply chain disruption alerts, our solutions deliver the insight and speed required to stay ahead.
Benefits
Early Issue Detection
Identify anomalies as they occur to prevent fraud, equipment failure, cyberattacks, or service outages before they escalate into major incidents
Accurate Trend Forecasting
Use historical and live data to anticipate demand, detect seasonality, and plan resources with high confidence across multiple time horizons
Reduced Downtime & Losses
Act on real-time alerts to minimise production downtime, inventory shortages, or unexpected operational costs
Improved Risk Management
Spot irregularities that signal compliance violations, safety hazards, or security threats, enabling proactive resolution
Scalable Across Systems
Monitor and analyse high-volume, multi-source time series data across distributed assets, locations, or business units
Features
Advanced Forecasting Models
Leverage ARIMA, Prophet, LSTM, and hybrid models to predict trends, seasonal patterns, and cyclical behavior accurately
Real-Time Anomaly Detection
Apply streaming analytics to identify sudden deviations, unexpected spikes, or drops in key metrics as they happen
Multi-Granularity Analysis
Support second-level, minute-level, or monthly data granularity, making it suitable for both high-frequency trading and long-term planning
Root Cause Analysis
Correlate anomalies with related metrics and events to understand the underlying causes and take targeted corrective action
Integration with Existing Tools
Connect seamlessly with BI dashboards, monitoring systems, and IoT platforms for centralised insights
Automated Alerts & Reports
Configure threshold-based and AI-driven notifications via email, SMS, or API to ensure fast incident response
Use Cases
Finance
Detect suspicious transaction spikes, forecast cash flows, and monitor trading activity for anomalies that may indicate fraud or market instability
IoT Monitoring
Track sensor data from connected devices to detect malfunctions, unusual activity, or environmental threshold breaches in real time
Energy Management
Forecast energy demand, detect equipment inefficiencies, and identify abnormal consumption patterns for cost savings and reliability
Cybersecurity
Spot unusual network traffic, login patterns, or system behaviors that may indicate intrusions or malware activity
Supply Chain
Monitor shipment data, inventory levels, and lead times to detect potential delays, demand surges, or logistic bottlenecks
Our Process
Requirement Analysis
Understand your data sources, goals, and anomaly tolerance thresholds to define the project scope
Data Preparation
Clean, normalise, and align time-series data from multiple systems to ensure model readiness
Model Selection & Training
Choose and train models suited for your data volume, velocity, and seasonality patterns
Validation & Benchmarking
Test model accuracy and alert precision against historical incidents and baseline performance
Deployment
Integrate the solution into your operational systems for live monitoring and alerting
Continuous Improvement
Monitor performance, retrain models, and fine-tune detection parameters as conditions evolve.
Why Choose Us
Domain Expertise
Experience in finance, IoT, energy, cybersecurity, and supply chain ensures solutions are customised to industry-specific needs
High Accuracy Models
Use of advanced algorithms and ensemble techniques improves both forecast reliability and anomaly detection rates
Real-Time Capabilities
Support for streaming data ensures anomalies are flagged instantly, enabling rapid response
Customisable Alerts
Configure detection sensitivity and reporting to match operational priorities and compliance requirements
Scalable Infrastructure
Capable of handling large-scale, high-frequency time series data without performance degradation
Frequently Asked Questions
Anticipate. Detect. Respond.
Book a free consultation with GullyAI to explore how Time Series Analysis & Anomaly Detection can keep your operations predictable, secure, and efficient.
Book a Free Consultation