AI-Powered Subrogation Intelligence

Your closed claims
are an untapped
asset.

Recovra's AI surfaces hidden recovery opportunities buried in unstructured claim files — handwritten reports, scanned PDFs, and messy police records — in minutes, not months.

More opportunities found
15 min
vs. 400 hrs manual review
80%
Of claim data is "dark"
0
Days to integration
The Recovra Intelligence Suite

Three engines.
One decisive edge.

Each module of the Recovra Intelligence Suite addresses a distinct failure point in the legacy subrogation process.

📄
Module 01

The Ingestion Engine

Goes far beyond OCR. Recovra understands the spatial relationships in hand-drawn accident diagrams, an officer's rushed scribble, or a faded fax. Handwriting-to-Insight, not just Handwriting-to-Text.

⚖️
Module 02 — Crown Jewel

Liability Probability Scoring

Every closed claim receives an LPS score from 0.0 to 1.0. Trained on 50,000+ historical outcomes, it answers the only question a VP of Claims cares about: "What are my odds of winning this recovery?"

LPS Score0.83
🕐
Module 03

Statute-Guard

A real-time monitoring system that flags every claim approaching its state-specific statute of limitations — 2 years in California, 3 in New York, different again in every jurisdiction. No recovery should ever be lost to a calendar.

🏗️
Architecture

Zero-Integration Deployment

We don't replace your existing stack. Send us a CSV of PDF links. We return a prioritized, scored recovery list. No API keys to configure, no 18-month enterprise IT projects, no rip-and-replace.

# Input
claims_export_q1.csv
↓ 15 minutes
# Output
recovery_priorities_ranked.json
Cost of Inaction Calculator

Every quarter you wait,
money disappears.

The industry average unrecovered subrogation runs at 2–3% of Annual Written Premium. Calculate what's slipping through your fingers.

Your Numbers

Estimated Annual Unrecovered Subrogation
$13,500,000
Based on industry-average 2.7% recoverable premium at your current recovery gap
Your recovery rate: 1.2% Industry benchmark: 2.7%
With Recovra
Recoverable opportunity:
$8,100,000

Recovra's clients have moved from the industry average of 1.1% to 2.4%+ recovery rates — closing the gap from what's currently being left on the table.

Performance-Based Pricing

We win when you win. No seven-figure upfront contracts. No 18-month implementation fees. Our fee is a percentage of incremental recoveries only — money you would never have found otherwise.

Demonstrated Results

Before & After.
The numbers speak.

A mid-size regional carrier. 400 hours of analyst time versus a Recovra run on the same closed-claim portfolio.

Before Recovra — Manual Process
400
hours analyst review

Senior adjusters manually reviewing 2,400 closed claims across Q3 and Q4. Spreadsheet tracking, inconsistent documentation standards, state deadline management via calendar reminders.

12
recovery opportunities flagged
3
pursued past statute
0.5% recovery rate · $2.1M missed · 2 SOL violations
After Recovra — AI Processing
15
minutes AI processing

Same 2,400 claims. Ingestion Engine processed handwritten police reports, scanned medical bills, and third-party correspondence. LPS scored every file. Statute-Guard flagged 14 near-deadline claims.

84
recovery opportunities found
67
pursued successfully
7× more opportunities · 2.4% recovery rate
Competitive Moat

Why a $5B carrier
trusts us over legacy players.

Legacy vendors like Mitchell and Guidewire were built for structured data — the 20% of claims that arrive clean. We were built for the other 80%.

01 / Deployment

Zero-Integration

We sit on top of your existing software — Guidewire, Duck Creek, or a 20-year-old mainframe. No IT project. Send a CSV. Get results.

02 / Data

Dark Data Specialists

Legacy tools see only structured data — the 20% that arrives clean. Recovra's Ingestion Engine was purpose-built for the 80% that doesn't.

03 / Alignment

Performance Partnership

We don't charge a million dollars upfront. We remove the "buying risk" entirely — our fee comes only from incremental recoveries we generate for you.

04 / Intelligence

50,000+ Outcome Model

Our LPS model was trained on a corpus of historical insurance litigation outcomes — not generic legal text. It understands the specific economics of subrogation.

05 / Compliance

Jurisdiction-Aware

Statute-Guard holds every state's limitation period, contributory negligence threshold, and comparative fault rules. It never forgets a deadline.

06 / Sovereignty

Your Cloud, Your Data

Recovra can deploy entirely within your AWS or Azure environment. Zero-retention processing means sensitive claimant data never leaves your perimeter.

Security & Sovereignty

Your data never
leaves your walls.

We can deploy the entire Recovra Intelligence Suite within your existing cloud perimeter. Zero-Retention Processing is not a marketing term — it is a contractual guarantee.

Private cloud deployment — Runs inside your AWS VPC or Azure tenant. No data transits the public internet.

Zero-retention processing — Claim documents are processed ephemerally. Nothing is written to Recovra infrastructure.

SOC 2 Type II alignment — Architecture designed to fit within your existing compliance and audit framework.

PII isolation — Claimant identifiers are tokenized before LPS scoring; the model never sees raw personal data.

// Recovra deployment topology
// Your cloud perimeter

✓ Ingestion Engine → [Your S3 Bucket]
✓ LPS Model → [Your EC2 / Azure VM]
✓ Statute-Guard → [Your RDS Instance]

// Data flow
claim.pdf → tokenize → score → output
[ephemeral processing]
recovery_priorities.json → [Your BI tool]

// External Recovra servers
✗ Zero data transmitted
✗ Zero logs retained
✗ Zero PII egress
Our Origin

Built by engineers who
think structurally.

"Recovra was born from the realization that insurance recovery is a structural engineering problem. Just as we analyze stress points in physical infrastructure, Recovra analyzes the stress points in legal documentation — the ambiguous liability, the overlooked third party, the deadline quietly approaching. Our team combines deep expertise in Geoinformatics, Data Science, and Large Language Models to map the complex landscape of insurance liability with the precision of an engineer, not the intuition of a generalist."
Founder

Geoinformatics & Civil Engineering

IIT Kanpur. Spatial analysis, infrastructure stress mapping. The same principles that govern load distribution govern liability attribution.

Stack

LLMs, OCR & Legal ML

Custom fine-tuned models on insurance-specific corpora. Not general-purpose LLMs — models that understand policy language, tort doctrine, and the specific vocabulary of subrogation.

Get Started

Run your first
portfolio analysis free.

Send us a sample of 50 closed claims. We'll return a scored, prioritized recovery report within 24 hours — no contract, no obligation, no integration required.

Request Free Analysis → Schedule a Demo
hello@recovra.in · Kanpur, India · IIT Kanpur Research Ecosystem