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Anlan Technology

Predictive analytics and AI for maritime risk underwriting in commercial P&C insurance

Underwriting & Risk Growth Bootstrapped
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Overview

Anlan Technology is a data science and AI software company serving commercial P&C insurers, with a primary focus on maritime risk assessment. Based in Shenzhen, China and founded in 2019, the company applies predictive analytics and machine learning to underwriting workflows, helping maritime insurers assess vessel risk with greater consistency and speed.

The company delivers a SaaS platform that combines an extensive vessel database with algorithmic risk scoring. Recommendations are surfaced directly to insurance sales teams and underwriters, streamlining the evaluation of individual vessels and maritime exposures.

Anlan Technology is privately held with no publicly disclosed funding rounds. The company is listed in The Digital Insurer insurtech directory under the Value Chain Innovations and Data and Analytics focus areas.

Products & Services

Maritime Risk Management Platform

A SaaS platform that applies machine learning and predictive analytics to assess maritime vessel risk. The platform gives insurance sales and underwriting teams algorithm-generated risk scores and recommendations, drawing on a large vessel database to evaluate individual ships and fleets.

Key Features

  • Algorithm-based vessel risk scoring for maritime underwriters
  • Integrated vessel database for risk assessment data
  • Recommendation engine for insurance sales and underwriting teams

Target Users: Maritime insurance carriers, underwriters, and MGA underwriting teams

At a Glance

Founded
2019
Headquarters
Shenzhen, Guangdong, China
Employees
11-50
Funding
Bootstrapped

Category & Focus

Category
Underwriting & Risk
Subcategories
Risk scoring Predictive analytics Maritime underwriting
Insurance Verticals
P&C Commercial Specialty/E&S
Target Customers
Carriers, MGAs/MGUs

Customers

  • Maritime insurance carriers and underwriters (specific names not publicly disclosed)

Last updated: 2026-05-11