InsOps

INSOPS

We help you move, massage, map, and migrate your core insurance data

Ingest

InsOps Ingest accelerates data mapping from months to days with our pre-built connectors for core systems and databases.

Migrate

InsOps migrate is a paradigm shift from traditional ETL migration to metadata driven automation using AI.

Insurance Datalake

InsOps Data Lake is a cloud-based, scalable data repository built for insurance carriers, brokers, and MGAs.

Introducing InsOps

I’m thrilled to announce that InsOps has officially gone live with our first customer, validating all the hypotheses and pre-work that have gone into our business. This milestone marks a significant step forward in transforming data processing for the property and casualty insurance industry.

The InsOps Approach

At InsOps, we’ve applied the disruptive innovation of cloud computing and its capabilities across the entire lifecycle of data processing. Our purpose? To automate, reuse, and eliminate waste in what has traditionally been a highly manual and complicated effort.

Groundbreaking Results

Our revolutionary approach has led to:

100% Improvement in Data Quality: Doubled the effectiveness of data handling and integration.

50% Faster Processing: Reduced data processing time by half compared to traditional methods.

40-60% Cost Reduction: Our cloud-focused framework has lowered migration costs by 40-60% for customers.

The Power of Cloud-First Thinking

These impressive outcomes are a direct result of embracing a cloud mindset and leveraging our innovative framework. By reimagining how data can be processed, integrated, and utilized in the cloud era, we’ve unlocked new levels of efficiency and cost-effectiveness for our clients.

Looking Ahead

As we celebrate this successful launch, we’re more excited than ever about the future of InsOps and its potential to transform the insurance industry. We’re committed to continuing our innovation journey, pushing the boundaries of what’s possible in data processing and integration.

The Data Challenge

How do insurers improve their insurance data mess?

P&C Insurance Data Challenges: A CIO/CTO Perspective

Legacy System Complexity

Decades of technical debt hindering agility and innovation

Data Integration Hurdles

M&A-driven data silos impeding unified analytics and reporting.

Quality and Accessibility Barriers

Unreliable data undermining AI and strategic decision-making.

Operational vs Strategic Imbalance

Resources tied up in maintenance rather than driving innovation.

Extended Project Timelines

Data migrations often exceeding 10 months, delaying critical initiatives.

Limited ROI Realization

Data projects frequently falling short of expected business value.

AI and Scalability Roadblocks

Data issues hindering advanced analytics and future-readiness.

Fast outcomes

Reduce Time, Effort & Cost
GET = ROI on Digital Transformation

Acceleration of data ingestion by 60% over traditional approaches to “Mess” Clean up

50% acceleration or MORE for Data Cleansing and Usability

Data Governance becomes possible as users encounter better experiences, tolerance for lax standards and processes go away as value from the data is realized

45% Acceleration to UNDERSTANDING your DATA (What is this worth to you?)

Ability to consume new sources within 3 weeks

Overall Migration Timelines and Effort can be reduced by 50% - 60% based on CLIENT MATURITY and CAPABILITY