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INTUITIVE DATA ANALYTICS

Self-service, no-code analytics and predictive risk modeling for enterprise professionals

Data & Analytics Established Bootstrapped
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Overview

Intuitive Data Analytics (IDA) is a data and analytics platform serving enterprise professionals across insurance, healthcare, government, education, and retail. The platform targets non-technical users who need to extract insights from data through predictive modeling and visualization without writing code. IDA has particular depth in insurance, where it supports P&C carriers with risk management, claims scoring, and customer retention analysis.

The platform is delivered as a cloud-based, no-code environment featuring a drag-and-drop interface for dashboard and report creation, natural language query capabilities, and real-time data visualization. Core analytical functions include predictive analytics, correlation analysis, anomaly detection, prescriptive analytics, and what-if scenario modeling. The platform holds US Patent No. 11,714,826 for its solution.

IDA was founded as a spin-off of RT Lawrence Corporation, a company with over 30 years of operating history, which provided initial capital and a founding team of 25 specialists. The company reports over 200 corporate clients across industries and maintains three office locations globally.

Products & Services

Self-Service Analytics Platform

A no-code environment for exploratory data analysis, custom visualization, and predictive model building. The platform allows business users to create dashboards and reports through drag-and-drop tools, and to query data using natural language.

Key Features

  • Drag-and-drop dashboard and report creation
  • Real-time multidimensional data visualization
  • Natural language query interface
  • Root-cause analysis for pattern identification

Target Users: Enterprise analytics teams, insurance risk managers, business analysts

Predictive Analytics Suite

A collection of analytical modules covering the full analytics spectrum from description to prescription. These tools surface trends, relationships, and actionable recommendations from structured data.

Key Features

  • Predictive analytics for trend forecasting
  • Prescriptive analytics with actionable recommendations
  • Anomaly detection for identifying outliers
  • Correlation analytics for variable relationship discovery
  • Sentiment analytics for opinion-based data
  • What-if scenario modeling and sensitivity analysis

Target Users: Actuaries, underwriters, claims analysts, risk management teams

Trip Wire

An alert system that monitors data for critical changes or threshold breaches, enabling proactive responses to emerging risks.

Key Features

  • Automated monitoring of key data signals
  • Threshold-based alert configuration
  • Integration with broader platform analytics

Target Users: Risk managers, operations teams

Spontaneous Analytics

Automated insight generation that proactively surfaces patterns and anomalies without requiring user-initiated queries.

Key Features

  • Automated pattern detection
  • Proactive insight delivery
  • Integration with existing dashboards

Target Users: Business intelligence teams, insurance decision-makers

At a Glance

Founded
2018
Headquarters
Las Vegas, Nevada, United States
Employees
51-200
Funding
Bootstrapped

Category & Focus

Category
Data & Analytics
Subcategories
Predictive Analytics Risk Modeling Business Intelligence Self-Service Analytics
Insurance Verticals
P&C Personal P&C Commercial
Target Customers
Carriers

Customers

  • P&C insurance carrier (case study: risk detection and customer risk management)
  • Healthcare insurance organization (value-based care decision support)
  • NunkyWorld (financial prediction and pattern detection)
  • Bed Bath & Beyond Mexico (inventory planning)

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Last updated: 2026-05-17