Three AI products. We built all of them and we run all of them.

Analytics tools have a habit of reading a slice of your data and calling the estimate an answer. Flip the sample switch and watch the number wander — that is a report you cannot make a decision on.

Klar reads all of it, across every source it connects to. The attribution and analysis run on machine learning over every row rather than a sample, and the dashboards and written insights on top are generated by AI.

• Machine learning resolves attribution across every source, so two channels can't both bill you for the same order.
• Dashboards and insights generated by AI — ask in plain language, and it shows you the rows it read.
• Set-up measured in minutes, not a quarter-long implementation.

Before an insurer pays for anything, someone has to turn each visit into billing codes. There are not enough certified coders to do it, and a wrong code is a denied claim that has to be chased, reworked and resubmitted.

Our co-pilot reads the note, proposes ICD-10 and CPT codes with a confidence score and the evidence behind each one, and flags the lines most likely to be denied. The coder accepts, edits or rejects every single line — nothing moves without them.

• Notice the obesity suggestion: a BMI number alone doesn't support it. Low confidence, flagged, and a good coder rejects it. That is the system working, not failing.
• Sold to revenue-cycle-management firms, whose coders stay the decision-makers.
• In development and pre-customer. We are not claiming certifications we don't yet hold.