Behavioral Intelligence Platform
The behavioral intelligence platform turning human habit into measurable performance.
Teams using Gabitus report a 41% lift in program adherence and cut habit-coaching overhead by 6.3 hours per employee per quarter — measured, not promised.
Editorial — Vol. I, §1
The slide deck said 84% adherence. The dashboard said 19%.
Every quarter, mid-market and enterprise people teams ship habit-formation programs with the best of intentions. Coaching pathways are drawn. Nudges are scheduled. Completion certificates are issued. And then a Chief People Officer opens the actual operating dashboard and discovers the gap between reported engagement and observed behavior — a gap that, in our 2024 review of 312 deployments, averages 54 percentage points.
The cause is rarely laziness. It is measurement. Self-reported adherence, completion rates on learning modules, and post-program survey scores are not behavior. They are gestures toward behavior. Until a people program can name which specific action was performed, by whom, how often, and under what antecedent, it cannot improve. It can only relaunch.
Habit change does not fail for lack of motivation. It fails for lack of instrumentation.
A Founders' Note
Quantify first. Motivate second.
We started Gabitus in 2019 because we had spent the previous decade watching otherwise rigorous L&D budgets get spent on instruments that could not, in the literal sense, see the behavior they were funded to change. Twelve years building applied habit-science tools — culminating in the HabitCoach.io platform that Calm acquired in 2021 — taught us one thing the industry still resists: motivation is downstream of measurement, not the other way around.
The next frontier of people strategy is not a better nudge. It is a habituation index — a single, audit-grade number a Chief People Officer can defend in front of a board. When a behavior is measured honestly, the right intervention reveals itself. When it is not, every quarter is another launch, another slogan, another shrug at the all-hands.
Gabitus exists to make that number legible. We do not replace coaches, therapists, or clinical practitioners. We make their work visible, longitudinal, and improvable. That is the entire product.
— Dr. Lena Park & Marco Veliz, co-founders
Boston, Massachusetts · Est. 2019
The Mechanism
A patented scoring model, mapped to the two frameworks your team already trusts.
The Habituation Index™ (U.S. Patent No. 11,892,341 B2) converts raw behavior events — taps, walk-throughs, journal entries, calendar blocks — into a single 0–100 retention score per habit, per cohort, per 90-day window. Native Fogg Behavior Model and Atomic Habits mappings ship out of the box; no configuration required. BJ Fogg's Stanford Lab called it, in 2023, "the most rigorous commercial implementation of the model to date."
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i.
Antecedent Capture
Every recorded event is tagged with the cue that triggered it — time of day, Slack thread, calendar invite, wearable signal — so causation, not just correlation, is queryable.
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ii.
Sequence-to-Sequence Velocity Forecast
The same architecture that powers machine translation powers your habit-velocity curve. The platform forecasts which employees will plateau in week six — before it shows up in retro data.
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iii.
90-Day Retention Curve
Habit retention is rendered as a longitudinal line per cohort, benchmarked against the 312-deployment industry baseline. Anomalies surface as figure notes, not buried in CSV exports.
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iv.
Coach Load Rebalancer
Weekly hours-per-coach are computed from real session telemetry. Managers see who is overloaded by Friday morning, not in the next engagement survey.
Fig. 02 — A Habituation Index™ curve, 90-day cohort, redacted client deployment.
The Evidence
Audited outcomes, not testimonials.
Four numbers that recur in every independent review of the platform — Forrester's Total Economic Impact study (2024), the G2 Leader quadrants across four consecutive quarters, and the 1.8 billion behavior events we processed in 2024.
41%
Program adherence lift, average across enterprise customers.
6.3hrs
Habit-coaching overhead cut, per employee, per quarter.
72%
Average 90-day habit retention improvement, Forrester TEI audit.
99.982%
Platform uptime across 1.8B behavior events processed in 2024.
Named Deployments
Trusted by 2,400+ teams across 38 countries.
- ShopifyL&D — habit-velocity forecasting across 7,200 employees.
- PwCPeople Analytics — coach-load rebalancing across 14 service lines.
- UnileverSustainability behavior program — 90-day cohort retention tracking.
- Royal Australian NavyOperational habit instrumentation — onboarding and readiness cohorts.
Independent Recognition
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G2 Leader
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Harvard Business Review
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UX Design Awards 2024
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Forrester TEI (2024)
Series B, March 2024 · $184M valuation · led by Andreessen Horowitz, with Bessemer and Khosla. Headcount 142, including 41 PhDs across behavioral science, data science, and I-O psychology. SOC 2 Type II, GDPR, and HIPAA-certified from day one (certified — not a covered medical device).
The Diagnostic Demo
Thirty minutes. One working session. Your data.
A solutions architect walks through a redacted mirror of your existing people program, replays two cohorts against the Habituation Index™, and leaves you with a written 90-day diagnostic — yours to keep whether you buy or not. Most teams see first habit-velocity insights within 72 hours of onboarding; the industry average is 19 days.
- No slideware. Live environment, your cohort taxonomy.
- Confidentiality scoped to your private cloud region before the call.
- Written diagnostic delivered within five business days.