About
Linqura is a Precision Risk Intelligence platform purpose-built for commercial insurance carriers, agents, and brokers. The platform addresses a core industry problem: 75% of US businesses are underinsured due to outdated, static risk classification codes that fail to capture how businesses actually operate. Linqura replaces these legacy approaches with an AI-powered 'MRI' — a 360° intelligent view of every business, powered by a secure, in-house LLM and agentic AI engine. The platform aggregates and processes real-time data across 33 million US businesses, covering business fundamentals (classification, products and services, revenue, employee count, financial health), risk assessment data (exposures, causes of loss, mitigation factors, recommended coverages), safety and compliance records (OSHA violations), and property risk attributes (geographic, flood, lessor, and proximal risk). For insurers, Linqura enables maximum premium capture by identifying underinsured businesses and preferred risk segments. For agents and brokers, it pinpoints who to sell to, what coverages to recommend, and which carriers to place business with based on precise risk-appetite matching. With API and Swagger documentation available, it integrates into existing underwriting workflows. Results are promised within six months, with up to 28% improvement in risk classification accuracy.
Key Features
- 360° Business Intelligence: Replaces static NAICS codes with a dynamic, AI-generated view of every business covering products, services, revenue, employees, financial health, and risk exposures across 33M+ US companies.
- AI-Powered Risk Assessment: Identifies specific exposures, causes of loss, mitigating factors, and recommended coverages by line of business using an in-house LLM and agentic AI engine.
- Carrier Matching & Competitive Analysis: Matches businesses with the most appropriate insurance carriers based on risk appetite, eligibility profiles, geographic licensing, and product portfolio fit.
- Real-Time Data Processing: Continuously monitors business operations and risk updates, ensuring underwriters always work with current intelligence rather than outdated static data.
- API Integration: Provides full API access with Swagger documentation, allowing seamless integration of Precision Risk Intelligence into existing underwriting and agency management workflows.
Use Cases
- Commercial insurers identifying and capturing underinsured businesses to recover leaking premium across their book of business.
- Underwriting teams replacing manual NAICS-based classification with AI-driven 360° business profiles to price risks more accurately.
- Insurance agents and brokers prospecting for high-value clients by identifying businesses with the greatest coverage gaps and premium potential.
- Carriers performing carrier-to-business matching to ensure submissions align with their specific risk appetite, geographic licensing, and eligibility criteria.
- InsurTech platforms integrating real-time business risk intelligence via API to power automated underwriting and coverage recommendation engines.
Pros
- Significant Premium Growth Opportunity: Claims 28% improvement in risk classification accuracy and targets $10B+ in recoverable premium from underinsured businesses — a compelling ROI for insurers.
- Comprehensive Data Coverage: Covers 33M+ US businesses with multi-dimensional intelligence including financial, operational, safety, property, and compliance data in one platform.
- API-First Architecture: Swagger-documented API enables direct integration into existing insurance tech stacks without requiring workflow overhauls.
- Tailored for Both Carriers and Agents: Provides distinct value for insurers (premium capture, preferred risk identification) and agents/brokers (prospect targeting, coverage recommendations, carrier placement).
Cons
- Enterprise-Only Pricing: No self-serve or transparent pricing — access requires a demo request, making it inaccessible for smaller agencies or independent brokers without a sales engagement.
- US Market Focus: The platform is currently centered on 33M US businesses, limiting its utility for insurers operating in international or non-US markets.
- Dependent on AI Model Quality: As a proprietary LLM-driven platform, accuracy and trust depend heavily on the quality and currency of the underlying AI model and data ingestion pipelines.
Frequently Asked Questions
What is Precision Risk Intelligence?
Precision Risk Intelligence is Linqura's approach to replacing outdated static business classification codes (like NAICS) with AI-generated, real-time 360° business profiles that capture what a business actually does, owns, and is exposed to — enabling more accurate underwriting and coverage recommendations.
How does Linqura differ from traditional data providers?
Traditional tools provide a flat, static 'X-ray' view based on legacy codes. Linqura acts as an 'MRI' — using agentic AI and a proprietary LLM to deliver dynamic, multi-dimensional intelligence including risk exposures, financial health, OSHA violations, and property attributes, all updated in real time.
Who is Linqura designed for?
Linqura serves commercial insurance carriers, agents, and brokers. Carriers use it to maximize premium capture and identify preferred risks; agents and brokers use it to identify the best prospects, determine the right coverages, and match placements to the optimal carrier.
How quickly can I expect results?
According to Linqura, customers can expect measurable results within 6 months, including up to 28% improvement in risk classification accuracy.
Does Linqura offer an API for integration?
Yes. Linqura provides full API access with Swagger documentation, allowing insurers and technology partners to integrate Precision Risk Intelligence directly into their underwriting platforms, agency management systems, or custom workflows.
