AI-powered claims validation to catch errors and fraud early.
Solo insurtech founders cannot develop or manage claims processing technology independently, while outsourcing costs are prohibitively expensive for indie-scale operations.
ClaimVerify scans incoming claims for inconsistencies, duplicates, and fraud signals using simple AI rules and checks. Solo founders get risk scores, auto-flags, and audit trails without building ML models. Focus on high-risk claims while approving simples fast.
Solo founders of indie-scale insurtech startups
Lightweight AI tuned for insurtech data like policy mismatches and anomalous amounts, no PhD required.
friendly
AI assigns 1-100 risk score to each claim.
Flag duplicates, invalid policies, or high anomalies.
Custom rules engine for business logic checks.
Full history of validations and changes.
Upload CSV for batch processing.
Weekly reports on patterns.
Connect to policy DB via CSV/API.
Compliance-ready CSV/PDF exports.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| plan | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| policy_number | text | No |
| details | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| claim_data | text | No |
| risk_score | int | No |
| flags | text | Yes |
| status | text | No |
| created_at | timestamp | No |
Relationships:
/api/validateRun validation on claim
/api/policiesUpload policies
/api/validationsFetch validation history
/api/bulk-validateBatch validation
No custom rules
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 90 | 5% | $202 | $2,430 |
| Month 6 | 450 | 9% | $1,823 | $21,870 |
Spot fraud, errors, and risks for your insurtech startup affordably.
Target insurtech discords and newsletters. Email 25 founders from Crunchbase indie insurtechs. Free Pro for first feedback loop.
Advanced AI
Not for solos, too expensive
Micro-SaaS pricing, quick setup
Improving AI accuracy with user-submitted fraud data
2024 fraud surge in insurtech amid economic uncertainty
AI accuracy false positives
Hybrid rules + AI, user overrides
OpenAI costs spike
Usage caps, optimize prompts
Success: 70% willing to pay $45
Success: 90% accuracy feedback
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