Coccidia System Monitoring
Outsmart Coccidia Every Time
When you have the data, you see what comes next.
Gain advanced visibility into coccidia with a 4-8 week advantage. Quantify your program efficacy and true costs. Confidently stay on or move to the most cost efficient control program... every time.

50 Million
Broilers Monitored to Date
17
Control Programs
Monitored
$10,000s
Estimated Savings per Week per Complex
13 Million
Oocysts Counted
Creating New Visibility and Value for Live Production
Ancera's Coccidia System Monitoring (CSM) Platform persistently monitors for risk and identifies cost savings.
Non-invasive sample collections are rapidly analyzed in the cloud. Data Science models provide insight into historical trends and ongoing anomalies. The platform provides Coccidia patterns in near real-time and offer analyses that determine the most effective and efficient course of action.

Save Time & Money
Reduce input and labor costs. Ancera's CSM platform saves production teams and veterinarians hours from routine data collection. Teams access empirical data at scale, with decision-ready analyses. As a result, they implement more effective and efficient control programs that improve feed conversion.

Increase Productivity
Always stay on the lowest cost-effective cocci control program. Early detection and alerting allow Complex Managers, Live Ops, Veterinarians, and Nutritionists to optimize their feed conversion ratio (FCR). Broilers reach optimal, consistent weights.

Improve Poultry Health & Welfare
By detecting and identifying coccidia 4-8 weeks in advance, Live Ops and Veterinarians proactively implement highly effective control programs. Platform intelligence leads to decisions that reduce the risk of illness and mortality in broiler flocks.
Automating Coccidia Monitoring
Conventional methods to quantify Coccidia Oocysts are manual and time intensive. Ancera’s CSM platform automates microbial data analysis so producers receive simple insights that improved production.
High throughput, robust, and reliable methodology
Enables routine, non-invasive monitoring for poultry operations
New opportunities to understand and improve epidemiology and economic outcomes
Learn More in our Published Research

Does your current process need an upgrade?
Ancera's main competitor is the status quo: The preventable $5 Billion economic loss of underperforming birds, increased mortality, inefficient control programs, and lost points of feed conversion.
Current / lagging indicators of bird performance
VS
4-8 week leading indicators of underperformance
Random sampling, not representive of population health
VS
Data science models that accurately scale to complex level
Specialists spend valuable time traveling, collecting samples
VS
No travel or sample collection required, specialists reinvest time into data analysis and decision-making
Qualitative diagnoses
VS
Quantitiative data
Requires tribal knowledge and human biases to determine the optimal control program
VS
Algorithmically determines the optimal control program for efficacy, input costs and FCR
Not scalable
VS
Creates a data-driven organization that improves with each decision
FAQ
Complexes stand to save up to $10,000s each week by identifying suboptimal farms and improving feed conversion. Producers save money by staying on effective programs, quantifying ROI of control programs, and improving impacts through data-driven decisions.
Veterinarians no longer need to travel to farms and collect samples. They are now able to understand the current state at all locations behind a single pane of glass and make the best possible decision with objective data.
Samples are collected in a non-invasive method and undergo a proprietary test that quantifies the number of Oocysts Per Gram (OPG). The entire process is automated, calculating tens of thousands of Oocysts in minutes and uploading results to a cloud-based platform where they undergo historical trend analysis and anomaly detection.
Ancera’s Coccidia System Monitoring is deployed across representative samples at the house, farm and complex level. Using machine learning, each new data point updates a population model that increases in accuracy with each subsequent observation. Over a short period of time, our data science algorithms statistically represent the entire complex.
Our product uses value-based pricing that depends specifically on your production goals. Once we better understand your challenges, learn about your existing programs, and evaluate relevant historical data, we can build a deployment package right-sized for you.







