/* Benehab — Landing page (dark-locked marketing) — v3 */ const { useEffect, useState } = React; const LIcon = { Wave: () => (), Mind: () => (), Team: () => (), Home: () => (), Pulse: () => (), Brain: () => (), Arrow: () => (), }; function LpNav() { return ( ); } /* Hero visual — timeline between visits */ function VisitTimeline() { // Two anchor visit nodes; many small AI-activity points scattered between. // Autonomous (mint, muted) and augmented (white/brighter) markers. const W = 560, H = 380; const yMid = 210; const left = 76, right = W - 76; // Scatter points (non-uniform; manually placed) const pts = [ { x: 0.06, y: -8, kind: "a" }, { x: 0.11, y: 6, kind: "a" }, { x: 0.16, y: -14, kind: "a" }, { x: 0.22, y: 2, kind: "a" }, { x: 0.28, y: -6, kind: "g" }, { x: 0.33, y: 10, kind: "a" }, { x: 0.39, y: -10, kind: "a" }, { x: 0.44, y: 4, kind: "a" }, { x: 0.50, y: -16, kind: "g" }, { x: 0.55, y: 8, kind: "a" }, { x: 0.61, y: -6, kind: "a" }, { x: 0.67, y: 12, kind: "g" }, { x: 0.73, y: -10, kind: "a" }, { x: 0.79, y: 2, kind: "a" }, { x: 0.85, y: -8, kind: "a" }, { x: 0.90, y: 6, kind: "a" }, { x: 0.95, y: -4, kind: "a" }, ]; return (
{/* Atmospheric rings around anchors */} {/* Main timeline */} {/* Label above */} CONTINUOUS ENGAGEMENT · BETWEEN VISITS {/* Scatter points */} {pts.map((p, i) => { const cx = left + 30 + p.x * (right - left - 60); const cy = yMid + p.y; const augmented = p.kind === "g"; if (augmented) { return ( ); } return ( ); })} {/* Anchors */} LAST VISIT Mar 14 NEXT VISIT May 22 {/* Legend */} AUTONOMOUS · ROUTINE AUGMENTED · TEAM
); } function HeroSection() { return (
Benehab · AI care between visits

Your AI care layer between visits.

Autonomous for routine. Augmenting your team for complex cases.

Book a 30-min demo See how it works
HIPAA aligned FHIR native Pilot deployment · 4–6 weeks
); } function WhatItIs() { return (
What it is

Behavioral AI built into chronic care workflows.

Benehab talks with chronic patients between their doctor visits — by voice, text, and app. It turns those conversations into structured clinical data, prioritized nurse actions, and reimbursable outcomes.

Reaches patients

Voice, text, and app — channels patients actually use.

Understands behavior

Behavioral profile combined with real-time clinical context.

Empowers your team

Risk-sorted queue and an AI copilot built for nurses.

); } /* Patient Model — compact rows, vertical stack */ function PatientStack() { const rows = [ { title: "Clinical context", sub: "Vitals · meds · diagnoses · history", tag: "What others see", tone: 1 }, { title: "Psychological profile", sub: "Traits · coping style · readiness", tag: "+ Benehab adds", tone: 2 }, { title: "Behavioral patterns", sub: "Routines · triggers · adherence arc", tag: "+ Benehab adds", tone: 2 }, { title: "Personal values", sub: "What the patient cares about", tag: "+ Benehab adds", tone: 2 }, { title: "Emotional barriers", sub: "Fear · fatigue · resistance", tag: "+ Benehab adds", tone: 2 }, ]; return (
PATIENT MODEL · WHAT BENEHAB SEES
{rows.map((r, i) => (
{r.title}
{r.sub}
{r.tag}
))}
); } function BehavioralLayer() { return (
The behavioral layer · why adherence fails

Adherence isn't an information problem.
It's a behavioral one.

Patients know what to do — they have meds, schedules, instructions. Yet roughly half stop within six months. The reason isn't on the chart — it's underneath: fear, fatigue, inner resistance, loss of motivation when the initial momentum fades.

Three roles in one AI — nurse follow-up, psychologist barrier-work, health-coach behavior change. At $10–25 per patient per month, where humans cost $100–300.
); } function TwoModes() { return (
Two modes · one engine

Works on its own. Works alongside your team.

Routine engagement runs autonomously. Complex cases are routed to your nurses with full context.

Autonomous Agent

Routine care, handled.

  • Daily voice check-ins on schedule
  • Routine data collection — meds, mood, symptoms, vitals
  • Standard reminders and nudges
  • Builds a behavioral profile from every interaction
  • Escalates only when human judgment is needed
Augmented Care Team

Complex cases, escalated with context.

  • Patients escalated to a risk-sorted queue
  • Full clinical context loaded before each call
  • AI copilot suggests questions in real time
  • Voice biomarkers signal stress, tone, engagement
  • Every conversation logged and billable
Simple cases handled automatically. Complex cases handed off with full context.{" "} Same engine, scales with your team.
); } function DiffBand() { return (

Where data becomes action.

Vital signs, voice signals, behavioral context — turned into the call list and the patient picture your team uses every day.

); } function ScreenRow({ eyebrow, headline, body, caption, src, alt, reverse }) { return (
{eyebrow}

{headline}

{body}

{caption}
{alt}
); } function HowItFits() { return (

Fits your stack.
Honors your workflow.

FHIR-native architecture. Integrates with major EHRs through standard interfaces. Pilot kickoff to first patient call: 4–6 weeks. No EHR migration required.

HIPAA-aligned · GDPR-ready · BAA available · Built on InterSystems IRIS for Health
); } function WhoFor() { return (
Built for

Organizations that get paid for outcomes.

Home Health Agencies

Between-visit support, post-discharge protocols, TCM capture, readmission prevention.

ROI 3.5–4×

RPM-Active Practices

Engagement layer over physical devices. Higher device compliance, contextual vital signs, fewer false alerts.

ROI 1.5–2×

Behavioral Health Practices

AI as a remote therapeutic monitoring device. New reimbursable revenue stream for chronic mental health programs.

ROI 1.5–2×
); } function FinalCta() { const [status, setStatus] = useState("idle"); async function handleSubmit(e) { e.preventDefault(); setStatus("sending"); const formData = new FormData(e.target); try { const res = await fetch("https://formspree.io/f/xgoddloy", { method: "POST", body: formData, headers: { Accept: "application/json" } }); if (res.ok) { setStatus("sent"); e.target.reset(); } else { setStatus("error"); } } catch { setStatus("error"); } } return (
Next step

See it in action.

30-minute demo · Director Cockpit, Nurse Console, and a sample patient flow.

{status === "sent" ? (

Thanks — we'll be in touch within 24 hours.

If you need to reach us sooner: np@benehab.com

) : (