about us
About Unified Research Technologies
The goal of the URTech Research Agents is to learn from your own data to help you generate queries, perform exploratory analyses, and develop new questions about your data. All of this is done locally and securely within your data silo through the use of lighweight highly specialized AI Agents. The agentic-based LLM tool comes pre-trained in SQL best practices and basic data analytic techniques. With use, it will learn about your data set, the relationships between data tables, and the meaning behind variables and features. Once up to speed and fine-tuned with its own documentation of your dataset, it will be able to turn your questions into queries, and your data into discoveries.
It starts with the Query Generator. Using a local model that has been pre-trained with SQL best practices, this agentic-based system sits on your machine, just like SQL Server or any other data analysis program, and interacts with the data saved on your network, just like you would. By giving the system basic information about how your data is structured, schema names, for example, the system learns how to write queries for your data based on questions that you ask it. An additional output of this system is a repository of its own successful queries, that you have a hand in selecting, that it stores and refers to for future queries. This will increase efficiency and accuracy for pulling data from the right places and with the correct feature names, etc.
From there, the Analysis Engine will take the outputs of the queries and turn them into actual answers to your questions. Using standard data summarization and visualization techniques, this agent can turn the data tables into useful analytics.
Experience the benefits of AI for YOUR TYPE OF DATA
The Big 3 Large Language Models (“LLMs”) work great for creating marketing content and even for analyzing competitor positioning. But your data requires advanced schooling, specialty training and laboratory experience to understand.
We work with EHR’s, genomic data, imaging, signals, and much more.
Of course, not only are your data types unique but so are your cyber security requirements. You can’t just upload lab results into ChatGPT and ask about correlation with the surgical rotation from last week.
That’s where UR Tech and the EpiAI suite can help. Just click the button below to learn more.
Our Approach
We know clinical health systems data because we’ve been there.
We understand the importance of data security and patient privacy.
We want to bring the computation and analytic power of advanced machine learning and “AI”-based algorithms to Users who regularly interact with complex healthcare system data.
We believe that bespoke is better than bigger, that precision beats brute force, that the best tool is the one that is designed for the problem it is meant to solve.
Our Mission
Unified Research Technologies exists to bridge the gap between Medical, Clinical & Scientific Data Systems and Stakeholders.
Our goal is to provide tools that facilitate the interrogation of health care systems data without requiring domain expertise in data science and statistical programming.
Our Vision
We know that health care data is messy and difficult to work with, and that by facilitating the processes by which the data can be analyzed, results can be obtained faster, actions can be taken quicker, and care quality can become better.
Dr. Steven Cogill
Chief Executive Officer
Research scietist at Stanford University with over 15 years of experience in machine learning and AI.
Dr. Kent Heberer
Chief Data Scientist
Data scientist/statistician experienced in extracting insight from complicated data.
Bruce Crain
Chief Revenue Officer
30 years experience translating the value of emerging technologies to companies across 8 industries.
Chris Feamster
Chief Technology Officer
Scientist with background in biotech and finance, specializing in science communication.
Dr. Grace Kisirkoi
Chief Communications Officer
Scientist with background in biotech and finance, specializing in science communication.
While most groups may have expertise in the technical aspects of ai implementation or a knowledge of the intricacies of working within the medical field, we have both. With over 20 years of combined experience in various fields, successful startup companies, multiple academic achievements, and experience in combating one of the worst outbreaks in history, We really have the best team for this.