PEAR Health Labs
Pear Health Labs, Inc. · AI Assistant
Pear Health Labs builds Training Intelligence, an agentic AI health platform that turns care plans, GLP-1 regimens, and fitness standards into adaptive daily action plans for members.
About PEAR Health Labs
What Is Pear Health Labs
Pear Health Labs is the company behind Training Intelligence, a platform that translates a care protocol, a treatment regimen, or a military fitness standard into a plan a person can follow one day at a time. It sells to organizations rather than individuals: health plans, clinics, pharmaceutical teams, employers, and public sector agencies.
The problem it targets is the gap between advice and action. A clinician can hand over a plan, but adherence falls apart when life interferes. Pear's answer is an AI health coach that pushes one clear next step each morning and changes that step when the member's data changes. The output is an adaptive training plan, not a fixed twelve week template.
Limits exist. There is no public sign up, no published price, and no self serve trial, so a small team without a benefits partner or clinical sponsor can't just buy it. The experience also depends on data flowing in from wearables and health records, which means integration work before members see anything.
Getting Started
- Book a demo with the Pear Health Labs team and describe the population you support.
- Map your protocol or readiness standard to the program builder with Pear's staff.
- Connect the data sources you rely on, such as wearables, claims feeds, or health records.
- Launch to members and review the adherence reports with your account team.
Product Information
A quick look at PEAR Health Labs's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Health plan members with a chronic condition
- Patients starting a GLP-1 weight loss drug
- Service members preparing for a fitness test
Tasks
- Turning a care plan into daily habits
- Keeping activity up during weight loss
- Documenting program adherence
Scenarios
- A payer rolling out a lifestyle program to thousands of members who ignore generic apps.
- A clinic bridging the weeks between appointments, when patients drift.
- An employer replacing a wellness app that logged downloads but no repeat use.
Key features
Training Intelligence Engine
Training Intelligence is the core of the product: a multi-agent system that splits nutrition, physical activity, and recovery into specialist agents, then merges their output into one plan. According to Pear, the engine keeps learning from each member's responses, so the next recommendation reflects what happened last week.
Adaptive Daily Action Plans
Members see a single next best action rather than a library of workouts to sort through. A missed session, a bad night of sleep, or a long workday triggers a pivot instead of a broken streak. The plan is meant to absorb real life, which is the part most fitness apps handle badly.
GLP-1 Muscle Preservation Protocols
For members on GLP-1 medications, Pear builds strength focused routines and nutrition guidance around the risk of lean mass loss. Pear cites figures suggesting up to 40% of weight reduction can come from muscle, and frames GLP-1 muscle preservation as the reason to pair the drug with structured activity.
MePod Audio Episodes
MePod is a weekly AI generated audio episode made for one person. It summarizes that member's data, explains the reasoning behind the coming week, and plays like a private podcast. No screen needed, which matters for members who won't open another app.
Daily Pulse Briefings
Daily Pulse delivers a morning check in by email or push notification. It picks out what matters that day and states it in a few lines, so the member doesn't have to interpret a dashboard.
Verifiable Adherence Reporting
Buyers get population level reporting on engagement and progress. That reporting is the commercial argument: a benefits team can show utilization instead of guessing whether the spend worked. Pear also positions the same data as readiness reporting for military buyers, where a commander needs evidence that a unit can meet its standard.
Pros and cons
Pros
- One action per day cuts the decisions a member has to make, which is where most programs lose people.
- The protocol layer accepts clinical, pharmaceutical, and military inputs, so the same engine serves different buyers.
- Audio and email delivery reach members who never open a fitness app.
- Reporting gives the buying organization evidence of use, not just download counts.
- Plans adjust to missed sessions and poor recovery rather than resetting the member's progress.
Cons
- No public pricing or self serve signup, so evaluation starts with a sales conversation.
- Members can't sign up on their own; access depends on an employer, payer, or agency.
- Data integrations take setup work before anyone sees a personalized plan.
- Most published claims come from Pear itself, and independent studies of outcomes are hard to find.
Frequently asked questions
Pear Health Labs is a health technology company that sells Training Intelligence, an agentic AI health platform for health plans, clinicians, employers, and public sector agencies. It turns care protocols and fitness standards into daily action plans.
Related content
Explore related tools, skills, and articles for PEAR Health Labs.
PEAR Health Labs Alternatives
Agibot
Agibot · Productivity · AI Assistant · ChatbotAgibot is a personal AI agent for Mac that keeps running after you close the window, runs routines on a schedule, and works from Telegram or Slack with your own API keys.
Foley
Hanamori Labs, LLC · Voice & Language · Productivity · AI AssistantFoley is a voice to-do list that turns a spoken sentence into a filed task, complete with project, date and time, then helps you plan the day around what is already there.
Ghost Core
Ghost · Productivity · AI AssistantGhost Core is a $3,499 screenless personal AI computer that runs local AI models on its own hardware, builds context from your apps and devices, and acts without waiting for a prompt.