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Eve / 01

CONTINUOUS READ/WRITE

Biology needs a programmable interface

Biology is captured in snapshots: blood draws, CT scans, DNA/RNA sequencing, and biopsies. AI is increasing exponentially and ingesting all of our health data. Yet humans still have no reliable tool for continuously measuring their biology and acting on those changes.

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Signal change over time

MULTI-SIGNAL WINDOW / 02:14:08

MULTI-SIGNAL WINDOW / 02:14:08 Layered biological signals flow continuously and independently over time. INPUT T−30 TIME T+120

SIGNAL A

+18.4%

SIGNAL B

−4.2%

CONFIDENCE

99.3%

01 / The loop

Read. Write. Repeat.

Our architecture connects measurement and action in one observable loop. It reads change, interprets patterns, delivers a bounded response, and measures again.

Eve / CLOSED-LOOP ARCHITECTURE

SIGNAL PATH 01

01 READ CONTINUOUS MEASUREMENT 02 UNDERSTAND PERSONAL MODELS 03 WRITE BOUNDED ACTION 04 LEARN CLOSED-LOOP EVIDENCE
  1. 01 Continuous measurement

    Read

    Physical sensors collect biochemical and physiological signals over time, with quality and uncertainty attached.

  2. 02 Personal models

    Understand

    Software looks for patterns, relates changes to inputs, and keeps the raw evidence available for inspection.

  3. 03 Bounded action

    Write

    A separate physical path supports prevalidated, locally authorized, and measured delivery.

  4. 04 Closed-loop evidence

    Learn

    The system measures again, compares the response with the prediction, and updates the personal record.

02 / Live feedback

Learn from your body, live.

Most health information arrives as a snapshot. Eve is built around change: what moved, when it moved, and what happened just before.

POST-INPUT WINDOW

POST-INPUT WINDOW A static view of layered biological signals around an input. MEAL T−30 TIME T+120
01

What changed after my meal?

RESPONSE COMPARISON

RESPONSE COMPARISON A static view of layered biological signals around an input. INGREDIENT T−30 TIME T+120
02

How did my body respond to this ingredient?

RETURN TO BASELINE

RETURN TO BASELINE A static view of layered biological signals around an input. INPUT T−30 TIME T+120
03

Which signals move together when I change an input?

03 / The missing dimension

Time is the best denoiser

Before biology can be denoised, it has to be observed over time. Molecular data is still collected as isolated snapshots. Each measurement captures a moment, but not the trajectory around it. Continuous information creates the time series needed to separate transient fluctuation from persistent change.

MOLECULAR SIGNAL / TIME

TIME REVEALS STRUCTURE

01 / CURRENT STATE

Isolated snapshots

LOW TEMPORAL CONTEXT

Five isolated molecular measurements Five measurements appear as separated points, leaving the biological signal between them unknown. T−30D TIME T+30D

A blood draw, sequencing run, or biopsy records one moment. The trajectory between measurements remains unobserved.

02 / REQUIRED STATE

Continuous information

TEMPORAL CONTEXT

Continuous molecular measurements reveal a persistent signal Many faint observations surround a clear green time-series trend, making transient noise distinguishable from persistent change. T−30D TIME T+30D

Repeated observations expose temporal structure—what is transient, what repeats, and what persists.

04 / A modular, scalable architecture

Program your own biology.

Eve is a new type of tool. Like the PC, phone, and robot, it directs intelligence into a new medium. Created by programmers and designers who wanted to bring a new medium to biology.

PROGRAMMABLE BIOLOGY / DATA PATH

OPEN INTERFACES

01 / HARDWARE

Physical signals

Sensors and bounded physical capabilities.

02 / RECORD

Qualified data

Time, quality, uncertainty, and provenance attached.

03 / INTERFACE

Developer layer

Interfaces for models, tools, and applications.

04 / INTELLIGENCE

Your AI

The personal system you choose, with inspectable evidence.