$1.2M+
Previously unclaimed revenue surfaced
Find the hereditary-risk patients already in your panel. Assess360 checks every chart against the criteria, with a versioned, tested rules engine deciding and AI only explaining.
You Know Who You Tested.
The guideline, the reimbursement, and the accreditation requirement all exist. What is missing is a system that checks every chart against the criteria, every time, not only the ones a clinic happens to refer. So most who qualify are never identified.

Your accreditation requires a hereditary-risk process and a running count of who needed a genetic referral and who received one, and today you can't produce it.
Stand up that process with panel-wide screening, and produce the numbers year after year.
Your accreditation requires a hereditary-risk process and a running count of who needed a genetic referral and who received one, and today you can't produce it.
Stand up that process with panel-wide screening, and produce the numbers year after year.
Panel-wide screening checks every chart against the criteria and returns a criteria-matched shortlist, in the time it took to review one chart.
A three-generation family history assembles automatically for the counselor, and qualifying patients route onward, with cascade family testing built in.
NCCN-based criteria and a published risk model turn each chart into a structured risk picture.
Each determination arrives with a clinician summary and a patient-friendly explanation, ready to use.





Every risk level, matched criterion, and billing code is computed by a versioned, tested rules engine. AI only writes the explanation, never the result.
Every number traces to the criterion and the exact data point behind it, and re-derives to the same answer months later.
White-labelled, configurable, deployed on-premises so PHI never leaves your walls, and lab-neutral, so it is not tied to one testing vendor.
Every determination still computes with no AI provider reachable, so the clinical results never depend on a model being up.
$1.2M+
Previously unclaimed revenue surfaced
28%
Fewer audit-related claim denials
3x
Faster discrepancy resolution cycle
In US hospitals, the care delivered is not always the care that gets billed, and that gap is quiet revenue leakage and audit risk. We built an AI reconciliation layer over a client's location, EHR, and claims data that surfaces billing anomalies and builds the timestamped trail that makes every claim hold up.
Read Case StudyWhitepaper
Most cancer programs can tell you how many patients they tested for a hereditary syndrome last year. Almost none can tell you how many should have been tested and never made it that far. This guide pulls together the independent research on the size of that gap, why clear criteria still miss patients, and what actually closes it.


Bhupesh Nadkarni
Head of Healthcare
We build it. You own it.
