# InsOps

> Insurance\-domain AI and data migration platform for carriers and enterprises

## At a glance

| Field | Value |
| --- | --- |
| Category | Insurtech Infrastructure |
| Type | Solutions Provider |
| Region | NA |
| Headquarters | Warrenville, Illinois, USA |
| Founded | 2022 |
| Stage | Growth |
| Employees | 1-10 |
| Funding | Bootstrapped |

## Overview

InsOps is an insurance AI and data platform provider serving large carriers and enterprises. The company builds domain-specific large language models (LLMs) and small language models (SLMs) trained exclusively on insurance data, addressing accuracy gaps that arise when generic AI models encounter insurance-specific terminology, coverage codes, and policy field structures.

The platform includes four core products: LiLa, an on-premises LLM for insurance workflows; GenCruise, a data migration and transformation engine for legacy-to-modern core system migrations; GenAnonymize, an automated PII/PHI detection and masking tool; and GenGrate, a data integration tool supporting migration pipelines. All products are deployable on-premises or in hybrid cloud environments, providing carriers with data residency control and compliance support for sensitive policyholder data.

Founded in 2022 and bootstrapped, InsOps operates with a team of eight from Warrenville, Illinois. Confirmed customers include Golden Bear Insurance, Universal Insurance, Wright Insurance, Revantage, and Beyond Risk, spanning Guidewire ClaimCenter cloud migrations, Origami platform data migrations, and data privacy implementations.

## Products & services

### LiLa

An on-premises large language model trained on insurance domain data. LiLa interprets insurance-specific terminology, policy structures, and operational workflows, reducing hallucinations and mapping errors common with general-purpose LLMs applied to insurance use cases.

**Key features:**

- Trained on insurance\-specific data and domain logic
- On\-premises deployment for data residency and compliance requirements
- Supports policy, claims, billing, and operational workflows

*Target users:* Large carriers and insurance enterprises requiring AI with insurance domain accuracy

### GenCruise

A data migration and transformation tool that maps, transforms, and moves legacy insurance data into modern core administration systems with automated field-mapping and validation.

**Key features:**

- Legacy\-to\-modern core system migration \(Guidewire, Duck Creek, Origami\)
- Automated field mapping and transformation
- Reduces manual intervention during core system replacement projects

*Target users:* Carriers undertaking core system modernization or cloud migration projects

### GenAnonymize

An automated data privacy solution that detects and masks PII and PHI across insurance data sets, supporting compliance for policy, claims, billing, and operational records.

**Key features:**

- Automated PII/PHI detection across structured and unstructured insurance data
- Masking and anonymization workflows for compliance
- Covers policy, claims, billing, and operational data domains

*Target users:* Carriers and insurance enterprises managing data privacy obligations

### GenGrate

A data integration tool that works alongside GenCruise and GenAnonymize to support end-to-end legacy system modernization and data migration pipelines.

**Key features:**

- Integration pipeline support for multi\-system migration projects
- Complements GenCruise data transformation workflows
- Supports datalake hub implementations

*Target users:* Carriers executing complex legacy system replacement programs

## Category & focus

- Subcategories: Insurance AI/LLM, Data Migration, Data Privacy, Legacy Modernization
- Insurance verticals: P&C Commercial, P&C Personal, Specialty/E&S
- Target customers: Carriers

## Notable customers

- Golden Bear Insurance
- Universal Insurance
- Wright Insurance
- Revantage
- Beyond Risk
- International Insurance

## Links

- Website: <https://insops.com>
- Directory profile: <https://insurtechlist.com/companies/insops/>
- Linkedin: <https://www.linkedin.com/company/insops>
- Customers: <https://insops.com/customers>

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*Last updated: 2026\-05\-17*