The Allerim Immune OS

A clearer flow fromsignals to next steps

Allerim keeps inputs, structured interpretation, and follow-through inside one connected system instead of treating each step like a separate product.

Food often starts the process because it is the strongest daily signal. The system then widens into the broader context that helps explain why the pattern looks the way it does and what the report should recommend.

System map
Connected flow

Operating idea

One flow from signal to report to next step.

Allerim is strongest when testing, interpretation, and follow-through stay inside one connected clinical system.

What moves through it

Food-first inputInterpretation in contextClinician-guided reportSupport that fits the situation
01
Start
Complete your Tasso collection

Begin with food-first testing and capture the signal where it is easiest to observe.

02
Interpret
Get a structured report back

Use immune signal patterns, not disconnected numbers, to understand what the results may mean.

03
Follow through
Move into the right level of support

Start with written review, then move into messaging or added live support if it would be helpful.

The same three-step flow

Start with the signal, then widen only as needed

The content flow here stays simple on purpose. The input step, the interpretation step, and the follow-through step belong to the same system.

01Tasso-based collection

Start with Food-First Testing

Begin with food when food is the clearest early signal. Start with at-home collection or relevant prior labs, then convert the input into a clinician-guided report.

At-home Tasso collection
IgE allergy testing
IgG4 tolerance mapping
500+ antigens
CLIA-certified lab analysis

What this gives you

A strong input layer without making testing itself the whole identity of Allerim.

Inside the same ecosystem
Testing creates the input. The report creates the interpretation. The plan creates the next step.
02Context turns data into meaning

Interpret with the Threshold Model

Allerim does not treat lab values as stand-alone verdicts. The Threshold Model explains symptoms as activation load exceeding adaptive capacity within a real physiologic context.

Effector sensitivity context
Engagement load context
Context modulation review
Adaptive capacity framing
Structured report interpretation

Why it matters

The point is not more raw data. The point is making the pattern easier to understand and easier to act on.

Inside the same ecosystem
Testing creates the input. The report creates the interpretation. The plan creates the next step.
03Support that fits the situation

Deliver Your Immune Plan

The report and Immune Plan are the output. Start with clinician-guided review and secure clarification, then add live support only when the picture is more complex or needs closer review.

Clinician-guided report
Signal-informed food guidance
Secure follow-up messaging
Guided live review when helpful
Progress tracking and adjustments

What comes next

A report, a clearer direction, and the level of support that fits what you need next.

Inside the same ecosystem
Testing creates the input. The report creates the interpretation. The plan creates the next step.

Ready to move through the system?

Start with testing. Widen only when it helps.

Allerim works best when the first step is clear. Use testing to define the signal, then use reports and follow-through to decide what actually deserves more attention.

Start

Choose the clearest starting route.

Receive

Get a clinician-guided report back.

Escalate

Use follow-through only when it changes the next step.