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AIE Technology Solutions, Inc.

AIE TS offers custom software design builds for the healthcare industry and has also created in-house solutions including a telehealth platform, telecom solution, client branded data storage, and Aegisio which is in the pipeline to leverage AI/ML in streamlining the revenue cycle. Our recent custom builds include RPM software and file conversion software.
We are on a mission deliver financially viable solutions for the healthcare industry leveraging cutting edge technology in support of best practice patient experience.
Type of Organization
Startup - Newly established businesses, investable
Size of Organization
Organization Mailing Address

8 The Green STE #6766
Dover, DE 19901
United States

Aegisio integrates AI & Machine Learning to facilitate a streamlined revenue cycle. This reduces human errors, escalates the payment timelines and reduces risk associated with fraud/abuse. The administrative back-end, cost to collect, and unpredictable cash flow creates difficulty in the planning and execution of patient care. Our solution bridges this gap through automation that is consistently learning and adjusting based upon payer behaviors.
Category of Innovation
Health IT - Health IT refers to the “pipes” or “infrastructure” that technological systems are built upon and that digital health solutions may use to provide information or other necessities. Ex. Electronic medical records (EMRs)
Intended End User
Provider - Individuals or organizations responsible for providing care to patients (e.g. doctors, nurses, hospital/clinic administrators, etc.)
Impactful Innovation Stage (Click Here for Details)
Problem (i.e. barrier, issue, complication, etc.) being solved for the end user
Aegisio will profoundly impact the healthcare industry by reducing the administrative burden associated with the cost to collect. Presently, revenue cycle management companies are charging an average commission rate of 2-8% depending on the complexity and volume of the associated billing.
Idea/solution to the problem, if applicable
With the inclusion of Aegisio's machine learning algorithms, the metric can feasibly be cut in half. This will allow struggling rural healthcare facilities to continue operations and urban physician practices to thrive.
Level of adoption (i.e. list of customers/users, testimonials, etc.), if applicable
We have crafted a partnership which will provide a pathway to data to train the algorithms for swiftly bringing the product to market.
Impact (i.e. measurable outcomes), if applicable
Our solution is still being developed.
Funding Stage
Not Applicable
List of Funding Sources (if applicable)
We are in the review stage of an SBIR grant application.