Anomaly detection



In today’s world, it is fundamental to understand the causes and effects of anomalies at a profound level. SafeRock reduces waste and increases value by identifying at-risk observations early on. Our powerful data science teams use sophisticated models and proprietary algorithms to improve results.



SafeRock has broad experience in anomaly detection across multiple industries, sectors, and markets. We can analyze billions of data points within the systems we create, and these are specialized to help our clients identify outliers, anomalies, as well as areas of business risk and potential threat. 

In the energy sector, for instance, SafeRock has built a uniquely powerful predictive system for oil and gas fracking for basins in Eagle Ford, Permian, and Bakken. A case in point is our proprietary Big Data algorithms that forecasts production for oil and gas wells with great accuracy and automatically identifies anomalies and outliers at the well level.

Similarly for the retail and consumer sectors, we have captured lost sales by identifying precisely which geographies or markets are most likely to suffer product shortages and out-of-stock. Armed with these accurate predictions, management can then intervene to solve the problem by proactively sending supplies there. 

In chemicals and industrial, accurate sales forecasting can alleviate cycles of excess demand and excess supply. Through anomaly detection, we can improve factory production, quality control, and supply chain bottlenecks. 

Through anomaly detection, we have accurately forecast market price changes, anticipated behavioral change by customers, and fought to recapture drop-off in loyalty and increased share-of-wallet. Using such timely detection, management has been able to improve performance and drive savings as well as incremental profits. 

We have worked with industry leaders to identify and eliminate fraud, waste and abuse as well as to deliver unified Enterprise Data Lakes and more accurate demand forecasts. 



We utilize robust statistical models developed by industry SMEs through our connections with leading research institutions. 

These models are used to create accurate, best-in-class forecasts for our clients. We automate anomaly detection, and our predictive forecasting increases productivity, agility, and cost savings.

    • Our agile solutions can:
    • Identify anomalies and errors using AI, ML, and RPA 
    • Strengthen models, forecasts, and simulations
    • Accurately and quickly flag fraud and waste
    • Improve teamwork and focus on what matters most
    • Reduce workload for staff and increase productivity



We can provide insight into the trends, targets and levers in your industry in order to bring you forward and exceed your goals. Connect with us for a confidential conversation.


  • PROJECT #1

    Identified potential fraud, waste, and abuse  
    • Detected anomalies and outliers for a client and placed them in separate buckets for “Hall of Fame” and “Hall of Shame”
    • Resulted in unified system of record for Vendor Funds
    • Improved annual capture by 12% and $2.4 million in savings
  • PROJECT #2

    Delivered unified Data Enterprise Lake

    • De-duped records daily across (100k x 100k) matrix 
    • Resulted in clean Master data management and seamlessly measured incremental ROIs and other KPIs
    • Annual 12.4% cost decrease and 19.6% sales increase
  • PROJECT #3

     Improved value for Energy Sector (E&P)

    • Accurately flagged outliers daily (from 30 days lag)
    • Single automated system combined anomaly detection with well productivity decline curves, improved EUR estimates, and generated type curves for all regions