# INRULE TECHNOLOGY > Governed decision automation combining business rules, process automation, and AI for regulated industries\. ## At a glance | Field | Value | | --- | --- | | Category | Insurtech Infrastructure | | Type | Solutions Provider | | Region | NA | | Headquarters | Chicago, IL, USA | | Founded | 2002 | | Stage | Established | | Employees | 51-200 | | Funding | PE-Backed | ## Overview InRule Technology is a decision automation and business rules platform that enables enterprises to design, test, and deploy governed business decisions by combining rules, process automation, and AI. Founded in 2002 and headquartered in Chicago, InRule serves regulated industries including insurance, banking, healthcare, and government across more than 40 countries. The platform empowers business users and IT teams to collaborate on complex decisioning logic without heavy reliance on custom code. By separating business logic from application code, InRule reduces time-to-change and ensures full auditability -- a critical requirement for insurance carriers operating under regulatory scrutiny. In October 2022, InRule was acquired by Pamlico Capital, a Charlotte-based private equity firm with approximately USD 4 billion in assets under management. Prior to the Pamlico investment, InRule expanded its capabilities through two acquisitions: simMachines (AI/ML, June 2021) and Barium AB (business process automation, Sweden, September 2021). ## Products & services ### InRule Decision Intelligence Platform The core platform integrating decision modeling, process automation, and machine learning in a single governed environment. Designed for regulated industries where auditability and reproducibility are mandatory. **Key features:** - No\-code, AI\-assisted rule authoring via irAuthor Web - BPMN\-based process modeling and workflow orchestration - Machine learning model operationalization with explainability - Real\-time data mapping, validation, and regression testing - REST APIs and SDKs for enterprise integration *Target users:* Business analysts, compliance teams, underwriting and claims operations ### irAuthor Web An AI-assisted decision modeling tool that lets business analysts author and maintain rules using natural language. Purpose-built for regulated industries including P&C, life, health, and banking. **Key features:** - Natural language rule authoring without developer involvement - Automated validation and regression testing suites - Version control and change audit trails - Direct integration with the InRule runtime engine *Target users:* Business analysts, underwriters, actuaries ### Business Rules Engine Separates business logic from application code, enabling rule changes without developer intervention. Maintains auditable, reproducible decision records for regulatory compliance. **Key features:** - Decoupled rules from application code - Auditable decision records for regulatory reporting - High\-throughput decision execution - Multi\-deployment: cloud, containers, on\-premises, edge *Target users:* IT operations, compliance officers, underwriting teams ### Insurance\-Specific Applications Packaged decision workflows targeting core insurance processes: **Key features:** - \*\*Automated Underwriting\*\*: Enforces underwriting guidelines and reduces manual review - \*\*Claims Processing\*\*: Speeds adjudication and improves customer satisfaction scores - \*\*Fraud Detection\*\*: Identifies fraud patterns across claims and accounts - \*\*Regulatory Compliance\*\*: Maintains auditable, reproducible decision records ## Category & focus - Subcategories: Decision Automation, Business Rules Engine, Process Automation, Machine Learning Integration - Insurance verticals: P&C Personal, P&C Commercial, Life & Annuity, Health - Target customers: Carriers, MGAs/MGUs, TPAs ## Notable customers - Allstate - Aon - Pacific Life - Tokio Marine HCC - Bupa - Fortegra Financial - Barclays - Bank of America - Wells Fargo ## Links - Website: - Directory profile: - Blog: - News: - Careers: - Company: - Linkedin: - Insurance solutions: --- *Last updated: 2026\-06\-03*