Time
Rapid Testing of over 20 Samples in Under 30 Minutes
Cost
Saving Time, Save Money, Grow Business
Big Data
Rapid Data analysis in real time, powered by AI
Accuracy
Eliminate Equipment & Human Errors
Developed and Registered Trademark of Trium Environmental Inc. AISCT® (Artificial Intelligence Assisted Site Characterization Technology) is the product of over 5 years of extensive research and development in sensor technology and artificial intelligence (AI). A state-of-the-art tool designed for rapid and accurate soil analysis. Comprised of various technologies such as machine learning, neural networks, and natural language processing, AISCT® is empowered to learn from data and execute tasks that would traditionally demand human intelligence. Significance of AI in environmental management lies in its ability to enhance efficiency through automation, bolster predictive capabilities, and elevate decision-making processes.

Rapid Testing of over 20 Samples in Under 30 Minutes
Saving Time, Save Money, Grow Business
Rapid Data analysis in real time, powered by AI
Eliminate Equipment & Human Errors

AISCT® AURORA is a high-precision AI tool developed by TRIUM Environmental, specialized in detecting BTEX (C6–C8) compounds in soil and water. Unlike other AISCT models, AURORA doesn’t replace field tools — it optimizes them. It leverages PID technology, to provide optimized sample conditions and vapor response By standardizing temperature, moisture, and sample preparation, AURORA creates the perfect operating environment for instruments like the PID to perform at their highest potential. This methodology eliminates the error prone implementation of standard field screening practices, providing actionable results in under 10 minutes for multiple samples.
"Identify target contaminants with over 95% prediction accuracy, streamlining fieldwork, and supporting defensible environmental decisions."

Artificial Intelligence (AI) comprises various technologies such as machine learning, neural networks, and natural language processing. These technologies empower machines to learn from data and execute tasks that would traditionally demand human intelligence.
Soil samples are collected from the site, whether through drilling, excavation, or surface sampling.
Samples are prepped and extracted utilizing proprietary extraction products designed to optimize sample recovery & stability.
Samples are fed into the system where advanced AI algorithms rapidly analyze the data, comparing it with both historical and present-day information.
Within 20 minutes, the system delivers precise and reproducible results, providing results that guide informed decisions for characterization or remediation.

Learn more about AISCT. See more information about our different models and how they work.
Get Started
As a service model, TRIUM or a licensee will quickly evaluate the available information during a brief video call. Within hours, a cost estimate will be provided and scheduling can commence.
As a drop off model, please contact TRIUM or a licensee to make arrangements to drop samples off for rapid screening at any of those facilities. Costs are provided on a per sample basis.
Send a message to TRIUM Environmental Inc. immediately and one of our experts will take it from there.
AISCT is a sensor system coupled with a learning database. It is reliant on data accumulated from analytical measurements to compare against the field scanning method(s). Every time a data point is added, the system gets smarter.
Project timelines can vary widely based on the scope and complexity of each remediation project. Factors like site size, contamination levels, regulatory requirements, and site-specific challenges influence project durations. Our team works diligently to develop realistic project timelines and keeps clients informed of progress throughout.
AISCT® revolutionizes site characterization with rapid, 20-minute soil and water analysis. This portable technology reduces lab dependence, enhances decision-making with real-time results, and ensures accurate volume estimations. It streamlines remediation, minimizes landfilling, and boosts confidence in project outcomes.