Personal detection intelligence

See the signal before the consequence.

Most people don't quit. They drift. ONNEXT detects the earliest signs that you are moving away from your goals and tells you the next action to take, before a small deviation becomes a costly outcome.

HealthPerformanceBusinessStudyRelationships
Join the waitlist See the instrument Data tells you what happened. ONNEXT tells you what to do next.
Reads your stack Apple HealthStravaGarminOuraWHOOPYour platform, via API
BASELINE vs SIGNAL · LAST 8 WEEKSDRIFT DETECTED · WK 6
● holding · baselinedrifting · wk 6 →
Detected early. Corrected cheaply.
The deviation was caught at week six, while one small action could still change the outcome.
SIGNAL STRENGTH72
DAYS UNTIL DRIFT7
One engine, every area

Your early warning system for life.

Most people don't fail because they lack information. They fail because they notice the problem too late. ONNEXT detects the pattern before it becomes the outcome, and it works the same way everywhere, because drift looks the same everywhere.

Missed training Weight regain Burnout Poor sleep Revenue decline Study performance Relationship strain Habit breakdown Mood and energy decline

Everything is a signal before it becomes an outcome. That is the territory ONNEXT owns.

Fitness & training · live Health & recovery Work & business goals Study Relationships
Why early

The cost of acting late is always higher.

Most people wait until the consequence arrives. Motivation disappears. Performance drops. Revenue falls. Relationships strain. Health suffers. By then the fix is expensive: a restart, a rebuild, a recovery.

ONNEXT identifies the signal earlier and recommends the smallest action that keeps you moving forward. The earlier you act, the easier the recovery. That is the entire economics of this product.

DAY 0 · HOLDING

On rhythm. Sleeping well. Showing up.

DAY 9 · FIRST SLIP

One miss. "I'll catch up tomorrow."

DAY 16 · ONNEXT FLAGS IT

Signal pulls off baseline. One small correction, today.

DAY 31 · WITHOUT IT

"I'll restart Monday." Three months disappear.

See the instrument

One reading. Every area. The next action.

Not another dashboard of charts you scroll past. An instrument panel: your signal, your trajectory, and the single recommended action, computed against your own baseline rather than a population average.

ONNEXT SIGNAL● LIVE
Signal strength82
TrajectoryPositive
Risk of disengagementLow
Next actionComplete a 20-minute focused work block today.
PERSONAL INSTRUMENT PANELALL AREAS
Health84
Performance79
Consistency88
Relationships73
Attention requiredRelationships. Schedule a 30-minute uninterrupted conversation this week.
9:41onnext
72
Momentum · steady
Today's move

Your sleep is dipping. Today is about protecting energy, not pushing harder.

Early nightNot today
01 · The signal
9:41CHECK-IN
Under 30 seconds

Mood, energy, stress, sleep. One honest line. The smallest action that keeps you in today.

Bank today
Mood4 / 5
Energy3 / 5
Stress2 / 5
Training doneYes
02 · The input
9:41SIGNALS
StravaLive
WHOOPLive
Apple HealthiOS build
History12 months
Pattern insight

Load is up while recovery is down. The gym is the symptom, not the cause.

03 · The attribution
The engine

A Personal Detection Intelligence Engine. Not an app with charts.

ONNEXT runs a continuously updating detection architecture over longitudinal behavioural and biometric telemetry: sleep, training, recovery, language, check-ins, mood, adherence. Every reading is computed against the person's own rolling baseline. Imagine one hundred thousand people, three years, daily behaviour: longitudinal data at that depth surfaces patterns no human, and no single-snapshot system, can see.

01

Dynamic Baseline Vector Engine

A continuously evolving representation of the person's normal operating range, with confidence and stability scores. Never population-derived.

02

Micro-Deviation Detection

Small departures from baseline that look insignificant alone and predictive together, weighted by outcome relationships.

03

Behavioural Entropy Engine

Quantifies disorder in the personal routine. Entropy rises before conventional metrics deteriorate.

04

Trajectory Engine

Direction of travel, velocity, divergence and convergence. Status can look fine while the heading is wrong.

05

Drift Vector Model

Phase classification in motion: stable, emerging drift, accelerating drift, recovering, returning.

06

Disengagement Probability

A calibratable probability with a time horizon and named primary and secondary contributing factors.

07

Behavioural Compression Layer

Thousands of heterogeneous signals in, one ranked action hierarchy out, with the compression ratio reported on every response.

08

Return Engine

Optimises for return, not perfection. Detects the comeback and anchors it with the smallest effective intervention.

DETERMINISTIC, AUDITABLE RULES TIER LIVE TODAY · LEARNED TIERS ACTIVATE AS OUTCOME LABELS ACCUMULATE · NO BLACK BOX

The platform

An MCP layer, not another dashboard.

ONNEXT ships as a detection-and-action service that host apps and AI agents compose with. A proprietary MCP pipeline structures, secures and translates raw behavioural and biometric telemetry into compact context tokens, so partner systems consume one canonical state object instead of raw data streams. One engine, thin adapters: the same ingestion, the same baseline-deviation features, the same output object and the same intervention loop serve every area. Only the connectors and thresholds change. Live now on the production API.

ToolWhat it does
get_riskThe canonical risk object for a person and area: score, window, reason, recommended move, confidence.
list_at_riskRank a cohort. A gym gets the 143 members most likely to cancel in 30 days, each with the reason and the move that keeps them.
explain_riskWhy: contributing signals, derived features, cross-area attribution.
recommend_actionThe best next intervention for the cause, with expected lift.
simulate_interventionProjected risk delta of an action before you spend it.
log_outcomeFeed back what happened. The learning loop, and the compounding data moat.
set_thresholdsTune flag sensitivity to your precision and recall target.
connect_sourceAuthorised, read-only ingestion from wearables and host platforms.
The output object · one schema, every area
{
  "domain": "fitness",
  "risk_score": 84,
  "days_until_disengagement": 11,
  "primary_risk_factor": "recovery debt",
  "contributing_signals": ["hrv_below_baseline_9d",
    "sleep_debt_rising", "session_slope_negative"],
  "cross_domain_cause": "work_overload",
  "recommended_intervention": "deload and re-anchor",
  "confidence": 0.78
}

Retention is a timing problem. ONNEXT solves the timing: predict disengagement before it happens and intervene before it costs you. Every label maps to a measured signal. No black box, no poetry without data.

GET https://www.onnext.ai/v1/tools · partner keys on request

How it works

Know what needs attention before it becomes a problem.

Connect the tools you already use. ONNEXT continuously monitors the signals behind your goals and identifies when behaviour starts moving away from your baseline. Then it tells you exactly what to do next. Not more data. Better intervention.

01

Connect everything

Wearables, training, check-ins, or your own platform through the API. Read-only. ONNEXT never posts anything back.

02

It learns your baseline

Who you are when you are consistent: your rhythm, your recovery, your language, your usual way of falling off. Every reading is measured against you, not an average.

03

It catches the deviation early

The moment your signal pulls off baseline you get the one smallest correction, with the reason attached. Not a guilt trip. Not another plan.

What it watches

The signals that move first.

BEHAVIOUR

Rhythm and recency

Session, login and check-in frequency slipping against your own rolling baseline.

RECOVERY

Sleep & HRV

Doesn't cause drift. Predicts vulnerability to it, days before you feel it.

ENGAGEMENT

Quiet days

Disengaging psychologically usually happens before quitting practically.

LANGUAGE

"Restart Monday"

The words shift first. ONNEXT reads the tone, not the content.

Solutions

Industries and use cases.

Fitness is the first use case, not the ceiling. The same engine extends to every domain where humans drift gradually rather than fail instantly.

FITNESS & TRAINING

Gyms, studios, coaching, apps

Catch attendance and program drift, and under-recovery, before the cancel. Stay ahead of the drop-off.

HEALTH & RECOVERY

Clinics, rehab, programs

Adherence, relapse risk and program drop-off. Clinical-grade discipline, advisory outputs, validated before claimed.

BUSINESS GOALS

Performance and teams

Goal abandonment, over-function and disengagement, with recovery as the upstream cause. Reinforce momentum.

STUDY

Schools, universities, edtech

Course and enrolment drop-off, with sleep and routine as the early signals. Spot the slip while support still works.

RELATIONSHIPS & GROWTH

Connection and personal growth

Relational drift, grounded in established relationship science. Supportive, consented, human first. Notice the wobble.

RETENTION INFRASTRUCTURE

Insurers, memberships, marketplaces

Churn, dropout and relapse as one predictable vector across the whole book. Continuation as a platform.

Safety line. ONNEXT does not detect or predict domestic violence or abuse. That is a safety-critical domain for trained professionals and specialist services. Relational features ship as supportive, consented and human-escalated, never as an autonomous detector.

Download: ONNEXT Solutions & Use Cases (PDF) Architecture diagram

See the signal. Change the outcome.

Stop guessing. Know what matters today.

Early access is opening for the first cohort. No streaks, no shame, no countdowns. Just earlier awareness and the smallest action that changes the outcome.