Our Multi-Agent System
Trase is Powering a New Era of Enterprise Intelligence
"AI agents are profoundly changing the way we work, becoming more adept at solving complex business workflows. Trase is powering a new era of enterprise intelligence with our multi-agent system. Like white blood cells in the human body, they dynamically collaborate to coordinate actions throughout the system. By deploying numerous agents, we can harness their collective intelligence to drive innovation and efficiency with minimal configuration.”
Joe Laws
Co-Founder and CEO, Trase
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Life Sciences
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Aggregate and organize multi-modal datasets for drug discovery
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Radiology
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Clinical decision support on CT scans and automatic report creation
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Oil & Gas
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Automatically create title history reports and with public county records
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Health Plans
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Search public websites and internal databases for claims SOPs
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Life Sciences
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Radiology
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Oil & Gas
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Health Plans
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What is an AI Agent?
An AI agent is a highly advanced bot that can complete assigned work. Some agents are designed to coordinate and delegate, while others are designed to perform specific tasks.
AI agents are comprised of orchestration software that combines a Large Language Model (LLM) with memory, tools, and auto-critique algorithms to carry out a host of functions.
Agent Ecosystem
Large Language Models (LLMs) – the controller of an agent that provides “conscious thought.”
Tools – connections (APIs) that facilitate agent interactions.
Memory – various data storage mechanisms to retain and recall information.
Self-Critique – the ability to self-reflect on past actions to learn from mistakes.
Multi-Agent Teaming
Once we connect your data to the Trase Platform, we deploy teams of agents to directly communicate with each other and accomplish tasks. By deploying numerous agents, we harness their collective intelligence to drive innovation and efficiency with minimal configuration.
A/B Testing & Configuration
Our developer team works with you to evaluate agent performance and configure a Multi-Agent System (MAS) to address your unique business needs.
See It In Practice
Example of a Traditional Workflow
Technician collects CT scans and uploads to EHR.
Radiologist reviews images and analyzes patient’s EMR data.
Admin transcribes Radiologist’s interpretation.
Radiologist reviews and approves report content.
Technician collects CT scans and uploads to EHR.
Example of a Trase AI Agent Workflow
Technician collects CT scans and uploads to EHR, which Trase agent uses to automate report generation, personalized risk assessment, and care recommendations.
Radiologist reviews report and findings and signs off or uses natural language prompting to adjust report, which is then sent to patient.
Schedule a Demo Today
Discover how Trase can help you unlock new levels of productivity with AI agents.
