Catch student insurance quote fraud in real-time, slash cancellations by 40%
Indie-scale student life insurance providers face 40% policy cancellations due to high fraud rates in quotes, with no affordable fraud detection tools available.
QuoteSentry analyzes quote form inputs for fraud signals like inconsistent student data, fake emails, and anomalous patterns using AI scoring. It flags high-risk quotes instantly during submission, allowing providers to verify before issuing policies. This reduces cancellations without expensive enterprise tools.
Indie-scale providers and small independent brokers offering student life insurance quotes
Tailored exclusively for student life insurance with pre-trained models on enrollment fraud patterns
professional
Assigns 0-100 risk score to each quote based on data anomalies
Customizable rules for age, school, enrollment dates
Live dashboard showing flagged quotes and trends
Embed scoring in existing quote forms via simple API
Download fraud reports in CSV for compliance
Optional .edu email bounce checks
Track cancellation correlations over time
Upload your data to fine-tune the AI
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| plan | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| data | jsonb | No |
| score | int | No |
| flagged | bool | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| config | jsonb | No |
Relationships:
/api/score-quoteScore a new quote submission
/api/quotesList user's quotes
/api/rulesUpdate validation rules
/api/reportsExport fraud reports
No custom rules
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 50 | 5% | $150 | $1,800 |
| Month 6 | 300 | 15% | $1,300 | $15,600 |
Real-time AI scoring tailored for indie providers – no more cancellations from fakes.
DM 20 indie brokers on LinkedIn searching 'student life insurance broker', offer free 1-month Pro trial after 1-week demo call. Post in indie insurance Facebook groups with a case study video of fraud detection.
High accuracy
Too expensive for indies, not student-specific
Student-focused, affordable, quick setup
Ecommerce focus
No insurance vertical
Tailored for insurance quotes
Data moat from aggregated anonymized fraud patterns across users
Rising online quotes post-COVID, student fraud up 30% with remote enrollment
ML model accuracy issues
Start with rule-based, iterate with user data
Low adoption by brokers
Free tier + integrations
Data privacy for student info
GDPR compliant, no PII storage
Success: 80% confirm 30%+ fraud rate
Success: 50% report fraud reduction
Success: 10 paid conversions
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