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Industry Solution

Insurance

Verify claim imagery and catch location fraud earlier.

Oceanir helps insurers verify where claim photos were captured, flag staged submissions, and route suspicious files to SIU before payout.

[Explore workflow]

Phase 1

01: The Numbers

Oceanir helps insurers verify where claim photos were captured, flag staged submissions, and route suspicious files to SIU before payout.

<10sClaim Review Speed

Street-LevelTypical Precision

~$0.43Cost Profile

01:Analysis

02:Workflow

03:Evidence

Phase 2

02: How It Works

01Ingest claimant image at FNOL or adjuster review stage.

02Compare claim narrative to ranked location output.

03Escalate mismatches to SIU with supporting evidence.

04Approve straightforward matches faster with less manual effort.

Try It Now

Phase 3

03: Use Cases

Staged Incident Detection

Identify photos that do not match the claimed incident location.

Fast-Track Honest Claims

Use geo-estimation confidence to speed low-risk claims through review.

Adjuster Workflow Support

Give adjusters location context before site visits or payout decisions.

Portfolio Fraud Analytics

Track recurring geo-estimation anomalies across claim cohorts and channels.

SIU teamsClaims operationsFraud prevention unitsAdjuster managers

Insurance Fraud — The Data

The fraud problem is getting worse. Oceanir catches what adjusters can't see.

Annual U.S. Fraud Cost by Line ($B)

Property & Casualty$45B

Healthcare$68B

Workers Compensation$34B

Auto$29B

Life Insurance$15B

Source: Coalition Against Insurance Fraud, FBI IC3

Claims Fraud Prevalence

Fraudulent claims

of all U.S. claims

Altered images

in flagged submissions

P&C losses

attributed to fraud

Sources: USI, Shift Technology, Guidewire 2026

What This Costs

$308.6BAnnual U.S. fraud loss

$900Added per policyholder

1 in 100Images with suspect metadata

5 in 1,000Duplicated across claims

Sources: InsuranceFraud.org, Verisk Digital Media Forensics

Review risky claims with better location evidence

Use geo-estimation to catch location mismatches and staged scenes earlier, then route the right files to SIU.

Start a project

Value Upfront

Results Follow

Why Oceanir

Oceanir solves a different problem than OCR or metadata checks. It estimates capture location from scene cues and returns ranked, reviewable evidence.

Request A Pilot

Run Oceanir on your claims data

We set up a 30-day proof-of-concept against your live claim photos. No integration required — just image files and claim IDs. You get a fraud-detection report with geospatial evidence for every flagged submission.

01Send us a batch of claim images

02Oceanir processes and flags mismatches

03Receive a fraud-detection report with evidence

FAQ

All Solutions

Oceanir is designed for no-GPS, no-metadata scenarios. The image itself drives the estimate.

No. It is a verification layer that supports claims and SIU teams with faster evidence.

Yes. It can triage high claim volumes by surfacing confidence-ranked location matches.

Use confidence to prioritize manual review. High-confidence mismatches are strong escalation candidates.

Phase 3

03: Use Cases

Staged Incident Detection

Identify photos that do not match the claimed incident location.

Fast-Track Honest Claims

Use geo-estimation confidence to speed low-risk claims through review.

Adjuster Workflow Support

Give adjusters location context before site visits or payout decisions.

Portfolio Fraud Analytics

Track recurring geo-estimation anomalies across claim cohorts and channels.

Review risky claims with better location evidence

Use geo-estimation to catch location mismatches and staged scenes earlier, then route the right files to SIU.

Start a project

Value Upfront

Results Follow

Why Oceanir

Oceanir solves a different problem than OCR or metadata checks. It estimates capture location from scene cues and returns ranked, reviewable evidence.

Insurance

Phase 1

Phase 2

Phase 3

The fraud problem is getting worse. Oceanir catches what adjusters can't see.

Review risky claims with better location evidence

Run Oceanir on your claims data

FAQ

What if metadata is stripped?

Is this a payout automation system?

Can it support catastrophe events?

How should teams use confidence scores?

Insurance

Phase 1

Phase 2

Phase 3

The fraud problem is getting worse. Oceanir catches what adjusters can't see.

Review risky claims with better location evidence

Run Oceanir on your claims data

FAQ

What if metadata is stripped?

Is this a payout automation system?

Can it support catastrophe events?

How should teams use confidence scores?