Save time and fix problems as they surface with our automatic anomaly detection services. We help eliminate the need for labelled data training. We use powerful inference engines that assess your real-time data and customize settings to detect potential anomalies based on your business's risk profile. This helps you detect any level of anomaly and deploy services in the cloud or on local servers.
We also provide smart alert options that get delivered to your email, text message, or third-party software in plain English with graphics, so you comprehend the issue immediately. Our team configures anomaly detection setups for your mission-critical systems to eliminate cloud infrastructure costs and reduce data latency.
Turn your siloed data sources into unified intelligent analytics solutions that detect everything from performance glitches to trend shifts with our anomaly detection systems.
Customer Success Stories
Our RPA Solutions Empowered an African Automotive Giant to Embrace Digital Transformation
A leading African automotive firm was looking for a reliable digital transformation service provider using RPA. Our team provided the client with cost-efficient services.
Read the case studyA Leading LA-based Bank Reduced Client Onboarding Time with our Automation Support
A leading Los Angeles-based bank sought reliable and custom automation solutions to reduce client onboarding time. Our team delivered the best quality RPA services swiftly.
Read the case studyOur Custom Anomaly Detection Solutions
Detect and respond to unusual patterns, minimize downtime, and maximize efficiency with our anomaly detection as a service. Our solutions seamlessly integrate with your existing systems to ensure smooth functioning.
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Cloud Anomaly Detection
- Deep Learning models to scan cloud infrastructure
- Real-time alerts and anomaly reports
- Vigilant monitoring for cloud resilience
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Edge Anomaly Detection
- Intelligent platforms to address anomalies locally
- Algorithms to monitor edge computing data
- Localized approach to minimize latency
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Time Series Anomaly Detection
- Bayesian method to scrutinize time-based data
- High-precision anomaly detection
- Anticipate and mitigate potential issues
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Multivariate Anomaly Detection
- Advanced frameworks to analyze complex datasets
- Hidden correlations and anomaly detection
- Recommendations to improve system reliability
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Univariate Anomaly Detection
- Algorithms to identify outliers in single-variable datasets
- Seasonal decomposition technique for anomaly detection
- Strategies to maintain consistent operational quality
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Predictive Anomaly Detection
- Prognostic algorithms for historical data analysis
- Predictive models to foresee future anomalies
- Preemptive measures to address potential disruptions
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More Services We Offer
- Deep Learning Anomaly Detection
- AI Anomaly Detection
- IoT Anomaly Detection Services
- Supervised Anomaly Detection
Our Progressive Approach to Data Anomaly Detection
We follow a well-phased approach to onboard clients and deliver custom anomaly detection and monitoring services -
01. Anomaly Detection Goals and Metrics Identification
We analyze your business processes to identify key metrics and impact areas. This helps us set clear goals for anomaly detection
02. Data Ingestion and Anomaly Discovery
Our team acquires data from various sources, including cloud services and IoT devices, for Exploratory Data Analysis (EDA) to understand data distributions and trends
03. Anomaly-specific Feature Engineering
We select relevant features that best represent your data patterns for anomaly detection, such as multi-dimensional and time-based specifications
04. Algorithm Tuning to Detect Anomalies
We develop and fine-tune custom algorithms specific to use cases employing techniques like ensemble learning or hybrid models
05. Model Deployment and Validation
We implement algorithms into a scalable architecture and test them in a controlled environment to check the robustness and reliability of the anomaly detection systems
06. Continuous Monitoring and Model Refinement
Our team establishes a feedback loop to gather insights and retrains models to analyze evolving data patterns while maintaining high detection efficacy
Sectors We Serve
Healthcare
Manufacturing
Retail
Banking
Financial Services
E-commerce
Information Technology (IT)
Telecommunications
Cybersecurity
Insurance
Why Should You Choose Our Anomaly Detection Company?
Anomaly detection is not just a task for us, we take pride in helping you detect signals that identify threats and recommend strategic solutions to mitigate them. Some of the top benefits of choosing us are -
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Customizable Anomaly Dashboards
Our user-friendly dashboards and anomaly detection platforms are customizable and provide real-time insights and alerts to help you monitor system health and respond to anomalies promptly.
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Proactive Threat Detection
We use predictive analytics to identify potential threats before they impact your operations. This foresight allows you to take preemptive actions and ensure continuous business performance.
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Robust Enterprise Data Security
Our solutions are built with integrated security protocols to safeguard your sensitive business information while anomalies are detected and addressed.
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Continuous Model Improvement
We offer ongoing support and model retraining to analyze evolving data patterns. This ensures that our anomaly detection systems remain effective and relevant over time.
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Specialized Anomalous Behavior Support Team
Our support team works round the clock to assist you with any issues or questions about irregular identification. This ensures you have expert help whenever anomalies arise.
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Proven Track Record in Deviation Analysis
We deploy customized algorithms, real-time monitoring systems, and predictive models to consistently deliver high-accuracy exception monitoring models across diverse industries.
Additional Services We Offer
Data Analytics Services
Leverage the power of analytics with data mining tools, trend analysis, and enterprise-wide intelligence to propel growth and innovation.
Artificial Intelligence Services
Integrate cognitive computing and intelligent automation solutions to transform your enterprise with scalable solutions that streamline complex workflows.
Digital Transformation Services
Combine advanced technologies like edge computing and AI to transform your legacy systems and drive comprehensive organizational change.
Machine Learning Services
Maximize your data's potential using advanced neural networks and supervised learning to predict trends and make informed strategic decisions.
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Read the case studyOutsource Anomaly Detection Services to O2I
Choose the right algorithm to discern specific abnormalities and evaluate inconsistencies within the context of your data with our anomaly detection cognitive services. We tailor our services to your industry using advanced machine learning algorithms. This equips you with real-time, multivariate analysis, which can be adapted to dynamic thresholds.
We handle large-scale, noisy data across diverse sectors, which includes everything from healthcare monitoring and manufacturing efficiency to financial fraud detection. Our 25 years of industry expertise enables us to seamlessly integrate APIs with your existing workflows, IT infrastructure, and data platforms to improve interpretability and ensure global compliance.
Proactively manage risks and boost operational efficiency with our anomaly detection systems customized to your unique needs.
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Frequently Asked Questions (FAQs)
What are the applications of anomaly detection?
Anomaly detection is crucial for identifying deviations in data that indicate malicious activities, suspect fraud, equipment failure, and other aspects that impact enterprise assets and performance.
How can AI and ML improve the effectiveness of anomaly detection?
AI and ML implementation facilitates adaptive learning from historical data to detect unusual patterns, enable dynamic updating of models, and reduce manual oversight.
How quickly can real-time anomaly detection classify an event?
Advanced systems typically facilitate network anomaly detection within milliseconds to minutes. Data processing speed and algorithm efficiency are the factors that ensure prompt anomaly identification.
Why should you consider outsourcing anomaly detection services?
Delegating your requirements to a professional gives you access to specialized teams, which ensure high accuracy and efficiency. This allows cost savings on infrastructure and continuous updates.
What is the typical cost range for anomaly detection services?
Costs are determined by factors such as data complexity, volume, and service level agreements. Typically, pricing models are usage-based and offer cost-efficient solutions.