Agentic AI · USA Agro Insurance
From visual evidence
to insurance
decisions.
Agro Intelysee combines tree-level computer vision, predictive risk models, claims intelligence, and insurance-ready APIs to automate underwriting, portfolio monitoring, and claims for U.S. specialty crop insurers.
≥95%
Accuracy
$192B+
Insured Pool
85%
Faster Claims
10+
Modules
Crop Insurers·
Approved Insurance Providers·
MGAs & Program Administrators·
Reinsurers·
Specialty Crop Underwriters·
Ag Lenders & FinTech·
Tree Crop Insurers·
Parametric Insurance Providers·
Crop Insurers·
Approved Insurance Providers·
MGAs & Program Administrators·
Reinsurers·
Specialty Crop Underwriters·
Ag Lenders & FinTech·
Tree Crop Insurers·
Parametric Insurance Providers·
How It Works
Three layers.
One decision engine.
Agro Intelysee integrates visual evidence, predictive intelligence, and agentic automation into a single platform purpose-built for agro insurance.
01
Tree-Level Asset Detection
Computer vision identifies, counts, and classifies every tree across regular and irregular orchards. Outputs insurable asset inventories with ≥95% accuracy — validated per crop type, terrain, and plot shape.
02
Predictive Risk & Expected Loss
Risk models score every orchard and portfolio by expected loss, claim probability, damage severity, and payout estimate. Feeds underwriting, pricing, and reserve management with insurance-native outputs.
03
Claims Intelligence & Fraud Detection
Automated claims triage validates damage evidence, classifies severity, flags anomalies, and recommends next-best-actions — reducing cycle time and preventing leakage through fraud detection.
04
Agentic AI Workflows
Specialized agents execute full insurance workflows: Underwriting Agent, Claims Triage Agent, Fraud Agent, Portfolio Agent, and Parametric Trigger Agent. Integrates with Guidewire, Duck Creek, GIS, and data lakes.
Intelligence Modules
7 modules.
One platform.
Each module delivers insurance-native outputs — scores, evidence, predictions, and recommendations ready for underwriting and claims decisions.
Click any module to explore its capabilities
MODULE 01
Tree-Level Asset Validation
Tree counting
Irregular plots
Health index
Asset verification
Count, classify, and validate every insurable tree across regular and irregular orchard plots. Our computer vision validates declared assets at tree level — not just field or polygon level — with ≥95% accuracy across all crop types.
≥95%
Detection accuracy across all crop types & terrain
01
Tree-Level Asset Validation
02
Predictive Risk Models
03
Expected Loss & Severity
04
Claims Intelligence
05
Fraud & Anomaly Detection
06
Portfolio Risk Dashboard
07
Parametric Intelligence
Platform Foundation
Our platform is powered by
Three cross-cutting capabilities that run underneath every module — turning individual intelligence into a fully connected, enterprise-grade insurance system.
Foundation A
Agentic AI
Workflows
Underwriting Agent
Claims Triage Agent
Fraud Agent
Portfolio Agent
Parametric Agent
Specialized AI agents don't just analyze — they act. Each agent executes complete insurance workflows end-to-end, coordinating data, decisions, and actions without manual intervention.
Foundation B
Insurance-Ready
APIs
Guidewire
Duck Creek
GIS / ArcGIS
Snowflake
Databricks
Majesco
Purpose-built APIs designed for the insurance stack — not generic data exports. Connect Agro Intelysee directly to your systems of record with zero custom middleware required.
Foundation C
Explainability
& Audit Trail
Evidence package
Model rationale
Confidence scores
Regulatory audit log
Reinsurance reports
Every decision comes with full evidence: model rationale, visual proof, confidence scores, and a timestamped audit log — ready for regulators, reinsurers, and dispute resolution.
Who We Serve
Built for every layer
of agro insurance.
Segment 01
Crop Insurers & AIPs
Need better asset verification, faster damage evidence, and scalable claims decisions without large field teams.
Tree-level asset validation replaces manual field surveys
Claims triage reduces cycle time & cost per claim
Fraud module cuts leakage and prevents over-payments
Segment 02
Reinsurers
Need portfolio-level exposure visibility, CAT accumulation data, and reliable loss signals for pricing and reporting.
Portfolio risk dashboard with real-time CAT exposure
PML estimates and accumulation alerts by zone
Audit trail for regulatory and reinsurance reporting
Segment 03
MGAs & Program Admins
Need scalable underwriting and claims workflows without increasing headcount or field inspection costs.
Underwriting Agent automates risk assessment at scale
Insurance-ready APIs connect to your core systems
Evidence workflows replace manual adjuster tasks
Segment 04
Ag Lenders & FinTech
Need collateral visibility and crop health data to support credit decisions and bundled insurance products.
Insurable asset verification for credit underwriting
Health score and yield risk forecast per orchard
Exposure validation before loan disbursement
Segment 05
Parametric Insurance Providers
Need visual evidence to validate climate triggers, reduce basis risk, and speed up payout decisions.
Visual validation of parametric trigger events
Basis risk analytics and better trigger design
Payout simulation with visual and index evidence
Segment 06
Growers & Brokers
Need faster claims resolution, defensible evidence, and fair coverage for specialty and tree crops.
Faster claim decisioning with visual evidence trail
Explainable assessments reduce disputes
Support for parametric trigger and payout visibility
Before & After
The same workflow.
A completely different outcome.
Every step your team does today — manually, slowly, expensively — Agro Intelysee automates, accelerates, and makes auditable.
Claims: from 21 days to 4 days.
Same outcome — faster, cheaper, fully auditable.
85%
Faster cycle
80%
Lower cost/claim
87%
Less leakage
12×
More fast-tracks
| Today — Manual | With Agro Intelysee | |
|---|---|---|
| 01Intake |
FNOL by phone or email
Day 1–2
Manual logging, policy lookup, scheduling — errors common
|
FNOL auto-ingested & policy matched
Minutes
⚡ Claims Triage Agent
|
| 02Inspection |
Field inspector dispatched
Day 3–5
Travel + bottlenecks. Especially slow during CAT events
|
Remote aerial & satellite scan
Hours
🌳 Tree-Level Vision Module
|
| 03Assessment |
Manual tree count & damage notes
Day 5–8
Subjective, inconsistent across inspectors
|
Damage classified & severity scored
Hours
📊 Claims Intelligence Module
|
| 04Evidence |
Narrative report written by hand
Day 8–12
Incomplete data triggers back-and-forth delays
|
Evidence package auto-generated
Day 1–2
📋 Explainability & Audit Trail
|
| 05Fraud Check |
Manual cross-reference
Day 12–16
Over-declarations often go undetected under volume pressure
|
Fraud & anomaly flags surfaced instantly
Day 1–2
🚨 Fraud & Anomaly Agent
|
| 06Decision |
Manager review & approval
Day 16–21
No standardized scoring — inconsistent across portfolio
|
Payout estimated & decision recommended
Day 2–4
💡 Expected Loss Module
|
Total Cycle Time
14–21 days
↓
2–4 days
↓ up to 85% faster
Cost per Claim
$800–$1,400
↓
$120–$300
↓ up to 80% reduction
Fraud / Leakage Rate
8–15%
↓
< 2%
↓ up to 87% less leakage
Fast-Track Eligible
~5%
↑
60–70%
↑ 12× more fast-tracks
Underwriting: from 15 days to 2 days.
Better risk selection, near-zero over-declaration.
95%
Faster verification
90%
Lower inspection cost
<1%
Over-declaration
∞
Continuous monitoring
| Today — Manual | With Agro Intelysee | |
|---|---|---|
| 01Application |
Grower self-declaration form
Day 1
Self-reported tree counts — over-declarations common, rarely caught
|
Application triggers automatic asset scan
Day 1 — Hours
⚡ Underwriting Agent
|
| 02Verification |
Field inspector dispatched
Day 2–5
$600–$1,200 per visit, limited availability, scheduling delays
|
Tree-level inventory validated remotely
2–6 hours
🌳 Tree-Level Vision Module
|
| 03Risk Score |
Manual count & visual inspection
Day 5–8
Subjective, impossible to audit, inconsistent across inspectors
|
Orchard-specific risk score computed
Day 1–2
📊 Predictive Risk Models
|
| 04Pricing |
Generic actuarial tables applied
Day 8–12
Regional averages → mispriced policies, adverse selection
|
Expected loss & premium recommendation
Day 2
💡 Expected Loss Module
|
| 05Monitoring |
Policy bound — static until renewal
Day 12–15
No alerts for deterioration or new risk events between renewals
|
Policy bound + continuous monitoring on
Day 2–3
🌐 Portfolio Agent
|
Inspection Cost / Orchard
$600–$1,200
↓
$40–$120
↓ up to 90% reduction
Asset Verification Time
5–10 days
↓
2–6 hours
↓ up to 95% faster
Over-Declared Assets
10–18% of policies
↓
< 1%
↓ near-zero exposure
Pricing Accuracy
Low — manual estimates
↑
High — model-driven
↑ better risk selection
Competitive Position
The integration layer
the market is missing.
Competitors dominate individual layers. Agro Intelysee integrates them into a single agro insurance decision platform.
| Platform | Tree-Level Vision | Predictive Risk | Claims Intelligence | Fraud Detection | Agentic AI | Insurance APIs |
|---|---|---|---|---|---|---|
| Agro Intelysee | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Ceres AI | ✓ | ◑ | ◑ | — | — | — |
| SatSure / EOSDA | — | ✓ | ◑ | — | — | ◑ |
| Verisk / Agrograph | — | ✓ | — | ◑ | — | ◑ |
| Arbol / Descartes | — | ◑ | — | — | — | — |
| Taranis | ✓ | ◑ | — | — | ◑ | — |
◑ Partial capability · — Not available or not insurance-focused
Pricing
Start with a pilot.
Scale to enterprise.
Usage-based and annual contracts available. Validate ROI with your own data before committing to a full deployment.
Pilot
$25K / pilot
Validate ROI with your own data and orchards before committing to an annual contract.
- Asset validation module
- Health score & baseline
- Basic claims triage
- PDF evidence reports
- Dedicated onboarding
Most Popular
Enterprise
$200K / year
Full platform access for mid-size AIPs and crop insurers with active specialty crop operations.
- All 10 intelligence modules
- Agentic AI workflows
- Insurance-ready APIs
- Core system integrations
- Audit trail & explainability
- Dedicated Customer Success
Enterprise+
$750K+ / year
For large AIPs, reinsurers, and portfolio-level deployments with custom integrations and CAT packages.
- Everything in Enterprise
- Portfolio & reinsurance module
- Custom CAT event packages
- Parametric trigger design
- White-label API options
- SLA & priority support
Usage-based pricing also available: from $2–15/acre · $10–150/claim · $25K–250K/CAT event
Get Started
The Agentic AI platform
for USA Agro Insurance.
From visual evidence to predictive and agentic agro insurance decisions. Stop watching. Start deciding.
Contact
Request a Demo
Why teams choose us
🌳
Tree-level precision
≥95% accuracy on regular and irregular orchards — validated per crop type.
🔌
Enterprise integrations
Connects to Guidewire, Duck Creek, GIS/ArcGIS, Snowflake, and Databricks.
📋
Audit-ready outputs
Every decision includes an evidence trail, model rationale, and audit log.
🚀
Pilot in weeks, not months
Our $25K pilot validates ROI on your own data before any enterprise commitment.
