Gamer Health Coverage

For

Esports team managers and full-time streamers earning over $80k a year

Solves

Professional gamers lose income when their hands give out and traditional insurance misunderstands repetitive strain, burnout or equipment failure.

Delivers

Risk-adjusted insurance policy, rest alerts, instant claims payments, equipment replacement coverage

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$12,000 for the MVP, $49,500 for the full product

Run it

Inside your business, or as part of your offer to clients

For esports team managers and full-time streamers, turn gameplay telemetry, wearable biometric data and medical documents into real-time risk-adjusted coverage and instant claims decisions.

1. Ingest wearable and gameplay telemetry nightly.
2. Recalculate risk scores and premiums automatically.
3. Parse uploaded medical documents for diagnosis and validity.
4. Trigger rest nudges and voice alerts when risk spikes.
5. Monitor hardware diagnostics for equipment failure risk.
6. Pay out approved claims within hours via bank transfer.

What goes in, what comes out

The workflow

1. In
   Start with

   Gameplay telemetry, wearable biometric data, self-reported practice hours, medical reports, hardware diagnostics

2. 1

   Connect gaming accounts and wearable

3. 2

   Collect baseline health metrics

4. 3

   Run nightly risk recalculation

5. 4

   Review alerts and premium changes

6. 5

   Upload a claim document

7. 6

   Verify diagnosis with AI

8. 7

   Release payment

9. Out
   Finish with

   Risk-adjusted insurance policy, rest alerts, instant claims payments, equipment replacement coverage

AI does the heavy lifting, people stay in charge

Use language models to read and extract diagnoses from medical documents, and a separate model trained on injury patterns to interpret telemetry and biometrics. A human underwriter reviews any premium change above a threshold and a claims officer confirms the diagnosis before payment.

What your team sees

Key screens: Risk dashboard, claim intake, policy view. Use a live dashboard showing each player's risk score, premium trend and rest alerts, with a central feed of daily updates. The claim intake screen lets users upload a photo of a medical report and tracks parsing status. The policy view shows current coverage, adjustments and history. In this product, the first view is risk dashboard, followed by claim intake and policy view.

Accounts and administration

Accounts for managers and players, policy versions, premium change history, claim records, audit trail for all AI decisions, role-based access for underwriters and claims officers.

Integrations and data access

Start with a common wearable API (e.g. Apple Health or Garmin), game platform APIs for telemetry (e.g. Steam, Riot), and a bank payment API for payouts.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   7 days

   One buyer segment, one recurring use case. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   8 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will esports team managers and full-time streamers earning over $80k a year use it to solve "professional gamers lose income when their hands give out and traditional insurance misunderstands repetitive strain, burnout or equipment failure"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Run a paid pilot with one esports team for 30 days.
4. Measure, then decide. Track two measurable outcomes: average time from claim submission to payment and and percentage of players with reduced injury incidents after rest alerts. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. First buyer is esports team managers insuring their rosters. Use case is hand and wrist injury coverage. First two modules are risk dashboard and claim intake. Manual review of all premium changes and claims before payment.

After the MVP. Automate premium adjustments within a set band, integrate with more wearables and game platforms, add burnout and mental health coverage, and offer direct-to-consumer policies for solo streamers.

What the build depends on. Access to labelled injury and telemetry data for training, wearable data partnerships, regulatory approval for dynamic pricing in target regions.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test pricing at $49 per player per month, with a performance-based adjustment of up to 20% up or down based on risk score.

Message to test

Insurance that watches your hands and mind, so you can play without fear.

Where to find buyers

Esports team managers, gaming conventions, streamer communities on Discord and Twitch, sports insurance brokers.

Lead magnet

Free one-month risk assessment for a player's hand and wrist health, with a sample premium quote.

The first 30 days

1. Week 1: Build risk dashboard and wearable integration.
2. Week 2: Train document parsing on sample medical reports.
3. Week 3: Set up claim intake and manual review workflow.
4. Week 4: Run a pilot with one esports team and collect feedback.

Paid pilot

Run a paid pilot with one esports team for 30 days. Baseline is their current claims rate and premium cost. Success is a 20% reduction in injury-related downtime and a claim paid in under 24 hours, with a decision to expand to more teams.

Success metrics

Two measurable outcomes: average time from claim submission to payment, and percentage of players with reduced injury incidents after rest alerts.

Retention and expansion

Monthly subscription with continuous risk monitoring; players stay because switching insurers means losing their risk history and lower premiums built over time.

Why clients would pick it

The injury prediction model improves with every claim and telemetry data point, creating a proprietary dataset that new entrants cannot replicate without years of claims history.

Alternatives and positioning

Traditional health or disability insurance with static premiums and weeks-long underwriting; this differs by using live data and instant claims.

Main delivery costs

Model training and inference, wearable integration, claims processing staff, regulatory compliance and legal review.

Must not adjust premiums without human review for changes above 10% in a week. Must not share biometric data with third parties. Must not deny claims without a human override. Must provide clear rest alerts and never encourage overtraining.