Pear Therapeutics \USA

Pear Therapeutics pioneered prescription digital therapeutics (PDTs) - FDA-cleared software applications that treat medical conditions like substance use disorder, insomnia, and depression through evidence-based behavioral interventions. They promised to replace or augment traditional pharmaceuticals with smartphone apps that could be prescribed by doctors, reimbursed by insurance, and scaled infinitely at near-zero marginal cost.

SECTOR Health Care
PRODUCT TYPE Medical
TOTAL CASH BURNED $315.0M
FOUNDING YEAR 2013
END YEAR 2023

Discover the reason behind the shutdown and the market before & today

Failure Analysis

Failure Analysis

Pear died from a catastrophic mismatch between their tech company unit economics and healthcare system realities. They raised $315M betting that prescription digital therapeutics...

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Market Analysis

Market Analysis

The prescription digital therapeutics market Pear pioneered is in a 'nuclear winter' phase post-bankruptcy. Akili Interactive (ADHD treatment) went public via SPAC in 2022,...

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Startup Learnings

Startup Learnings

FDA clearance is not a business model - it's table stakes that costs tens of millions and guarantees nothing about reimbursement, adoption, or revenue....

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Market Potential

Market Potential

The underlying need is real and growing: mental health and substance use disorders affect 50M+ Americans, traditional treatment has poor outcomes, and there's a...

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Difficulty

Difficulty

Rebuilding Pear's model today remains extraordinarily difficult because the core structural problems persist: FDA clearance for digital therapeutics requires multi-year clinical trials costing $5-15M...

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Scalability

Scalability

The promise was infinite scalability - software scales to millions at near-zero cost. Reality proved different. Each therapeutic area required separate FDA trials, separate...

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Rebuild & monetization strategy: Resurrect the company

Pivot Concept

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A 90-day intensive digital monitoring and intervention program for individuals immediately discharged from inpatient addiction treatment facilities, sold directly to rehab centers as a post-discharge care package that reduces their 30-day readmission rates (a key quality metric that affects their reimbursement and reputation). Instead of trying to get insurance to reimburse patients, we charge the rehab facility $1,200 per discharged patient for a 90-day program that combines: (1) Daily check-ins via SMS with AI-driven risk scoring, (2) On-demand access to peer recovery coaches via text/call when cravings hit, (3) Automated alerts to the facility's care team when risk scores spike, enabling proactive outreach, (4) Family portal so loved ones can see progress and receive coaching on how to support recovery. The business model works because rehab centers are desperate to reduce readmissions (which hurt their metrics and reputation), they have budget for post-discharge care, and they're the decision-maker (no insurance negotiations). We focus exclusively on the highest-risk 90-day window post-discharge when 40-60% of relapses occur. This is not a prescription app - it's a B2B care coordination tool sold to facilities, with patients as end-users.

Suggested Technologies

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TwilioOpenAI GPT-4RetoolSupabaseMixpanelSegment

Execution Plan

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Phase 1

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Partner with 2-3 local rehab facilities willing to pilot for free in exchange for data on readmission rate reduction. Offer to cover their first 20 discharged patients.

Phase 2

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Build a simple SMS-based daily check-in system using Twilio that asks 3-5 questions about mood, cravings, sleep, and social support. Use GPT-4 to analyze responses and generate a 1-10 risk score.

Phase 3

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Hire 2 part-time peer recovery coaches (people in long-term recovery) to respond to high-risk alerts and provide on-demand text support during the 90-day window.

Phase 4

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Create a basic Retool dashboard for facility care coordinators showing all their discharged patients, risk scores, and engagement metrics, with one-click ability to reach out.

Phase 5

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Run the pilot for 90 days, measure 30-day and 90-day readmission rates vs. historical baseline, and collect testimonials from both patients and facility staff.

Phase 6

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If readmission rates drop by 15%+ (industry baseline is 40-60%, so target is 25-45%), package the results into a case study and begin outreach to 50 facilities within 100 miles offering paid pilots at $800 per patient.

Monetization Strategy

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Charge rehab facilities $1,200 per discharged patient for 90 days of monitoring and support. Facilities pay upfront when the patient is discharged. Target 50 patients per facility per month (typical mid-sized facility discharges 50-100/month). At 10 facilities, that's 500 patients/month = $600K MRR = $7.2M ARR. Gross margins are 70%+ after paying coaches and infrastructure costs. The key economic insight: we're not trying to get $50/month from insurance for years - we're getting $1,200 upfront from a motivated B2B buyer who controls the budget and sees immediate ROI. Secondary revenue: upsell facilities on annual contracts with volume discounts, and eventually offer a SaaS platform ($500/month) for facilities that want to manage the program in-house using our software and coach network.

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