Processed to date - providing a complete view of barn health.
Unified into one interface (Temperature, Water, Feed, etc.).
Instant notifications for barn conditions, pig health, and equipment failure.
For the producer, this meant "information overload." Critical signals, like a drop in water consumption (a leading indicator of illness), were often buried under a mountain of digital noise. PLD knew that to save more pigs and improve profitability, they needed to bridge the gap between their veterinary expertise and the IoT (Internet of Things) sensor landscape.
Our discovery sprint revealed a fundamental hurdle: every sensor brand used different units, produced data at different intervals, and structured their API’s differently.
The breakthrough happened when we stopped trying to fix the hardware and started focusing on the human experience. We realized the software shouldn’t just be a passive collector of data; it needed to act as a universal translator.
By standardizing these incompatible inputs into a single framework, we turned fragmented sensor logs into a cohesive, real-time picture of the barn’s health.
project focus
Unifying multiple incompatible sensor brands into a single, cohesive digital language.
Transforming raw, chaotic inputs into a clean, actionable dashboard for the barn manager.
Designing "fail-safe" backfill logic to ensure 100% record accuracy during rural internet outages.
key feature
The true power of the data standardization was the ability to layer in veterinarian expertise over clean data sets. This would allow us to program specific patterns and early-indication triggers into the software, transforming raw sensor readings into a 24/7 digital sentry for herd health.
We built a unified livestock monitoring platform using a high-performance, cloud-based architecture. The system creates a real-time dashboard of the barn, allowing farmers to monitor inventory health and barn conditions from anywhere in the world.
We built custom connections to 7+ different sensor companies, standardizing their outputs and allowing for cross-service insights.
We built a "fail-safe" that automatically fetches and fills in missing data once the connection returns, ensuring records remain audit-ready.
If a feed bin goes empty or the power fails, the system can detect it and send an immediate, high-priority alert.
Noisy sensor readings are filtered and standardized to uncover the meaningful trends and patterns across sensor types.
The real-time data feeds are processed and presented in easy-to-scan dashboards, giving unparalleled insight barn conditions.
Unprecedented insight into pig health and development benchmarked against empirical veterinarian best-practices.




By normalizing inconsistent data sets into a "universal translator," we cleared the path for real-time clinical intervention. This evolution transforms the barn from a collection of isolated sensors into an intelligent environment capable of flagging health risks long before they become visible to the naked eye.
Logging into 7+ different apps daily.
Reactive (responding after animals are sick).
Gaps in records during internet outages.
Guesswork based on fragmented charts.
One unified dashboard for all barns.
Proactive (alerts for early health indicators).
Automatic backfilling for 100% records.
Benchmarking against ideal growth rates.
We took the "guesswork" out of barn management by consolidating multiple points of failure into one unified source of truth.
The result is a proactive system that alerts you to what matters - when it matters - allowing farmers to focus on the animals rather than the apps.
tandem expert
Our leadership services are delivered by people who have built and scaled their own technology companies.

When it comes to work, James is especially passionate about three things; bringing experts from multiple fields together, building novel solutions to complex problems, and making the world a better place.
After earning a Bachelor of Commerce in Management Systems from the University of Alberta, James has spent the last decade performing Business Analysis and managing Development teams.