InsurTech

ClaimsMitra

Faster Insurance Claims with AI-Powered Field Inspections

4.4
·3000+ reviews·Free·Android

7 days → 4 hours

Claim Settlement Time

99.2%

Survey Accuracy

92%

Fraud Detection Rate

About ClaimsMitra

ClaimsMitra is an InsurTech mobile application built by Xenotix Labs for insurance companies, TPAs, and field surveyors. It digitises the entire physical inspection process — from site visit to final report — using AI-assisted photo capture, automated damage assessment, and digital signature collection.

Key Features

AI-Assisted Damage Detection

Computer vision models automatically identify and classify damage in photos, pre-filling assessment forms and flagging anomalies.

Offline-First Field Mode

Full inspection workflows work without internet. Data syncs instantly when connectivity is restored — critical for remote survey locations.

Geo-Stamped Photo Evidence

Every photo is automatically geo-tagged with coordinates, timestamp, and surveyor ID — tamper-evident and court-admissible.

Instant PDF Report Generation

Survey reports auto-generated from collected data and photos, formatted to each insurer's template. Zero manual data entry.

Digital Signature Collection

Collect policyholder digital signatures on-site with biometric authentication. Legally binding under IT Act 2000.

Multi-Insurer Support

Works with any insurance company's workflow via configurable form templates. No custom build per insurer required.

By the Numbers

7 days → 4 hours

Claim Settlement Time

99.2%

Survey Accuracy

92%

Fraud Detection Rate

2K+

Inspectors Using App

50K+

Reports Generated

15+

Insurer Partners

Built with Modern Technology

Developed by Xenotix Labs using a production-grade technology stack.

React NativeTensorFlow Lite (on-device AI)SQLite (offline storage)Node.jsAWS S3PostgreSQLPDF generation (custom renderer)Firebase Authentication

Frequently Asked Questions

Download ClaimsMitra Now

Free to download · Android

Developed by Xenotix Labs

Want to build something like ClaimsMitra?

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