The Insurance Capital of the World requires modern data infrastructure. We help Hartford's legacy carriers fix the first 60 seconds of underwriting and untangle decades of claims data.
Backed by 15+ years of enterprise data architecture experience. We engineer scalable environments that support 500+ active users, eliminate manual reporting, and drive measurable ROI.
Built for standard commercial and specialty lines — marine, energy, cyber, and professional liability — from mid-market carriers to $1B+ GWP books.
For mid-market carriers operating out of Connecticut, relying on manual data entry isn't just slow—it's a structural risk. When your underwriters are spending 40% of their time re-keying ACORD forms instead of assessing risk, your combined ratio suffers.
3-5 days to clear a submission inbox.
The Cost: High-stakes decisions based on fragmented, outdated information.
Inconsistent risk scoring across the Northeast portfolio.
The Cost: Thousands of expensive analyst hours wasted on manual data prep.
Navigating complex legacy systems built decades ago in Hartford.
The Cost: Costly rebuilds every time your business or data grows.
As the undisputed Insurance Capital of the World, Hartford is anchored by legacy giants like Travelers, The Hartford, and Aetna. With a dense concentration of commercial lines, specialty, and reinsurance operations, underwriting teams are grappling with decades of technical debt. We help Connecticut carriers transition from siloed ACORD spreadsheets to unified data architectures, allowing actuaries and underwriters to accurately forecast complex commercial risks and automate earned premium reporting.
We have worked with companies across each of these sectors. We understand the data complexity that comes with Hartford's scale — and we build Power BI infrastructure that holds up when your business doubles.
Extract ACORD 125/130/140 data in < 12 seconds with 95%+ accuracy. Move from inbox to rated risk instantly.
Real-time pricing models and portfolio steering dashboards integrated directly into Guidewire/Duck Creek.
Automatically flag high-severity claims before they escalate. Reduce claims leakage with unstructured data extraction.
Integrate geospatial data and property condition intelligence into your core underwriting workflow.
Automate reserving, IBNR calculations, and ratemaking models using Snowflake and Databricks architectures.
Gain granular visibility into written vs. earned premiums across all commercial and personal lines of business.
The people who scope your engagement are the people who build it. Here’s who you work with, and the principles they hold themselves to.
Founded Perceptive Analytics in 2013, after roles at Infosys and Citibank. He has advised Fortune 500 companies and 350+ international clients. MBA (PGP) from the Indian School of Business, and teaches internationally on business analytics.
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Runs your engagement day to day — keeps scope tight, milestones clear, and your team in the loop from first call through delivery. Your single point of contact who makes sure what we promised actually ships.
Connect on LinkedInWe measure success by client outcomes, not deliverables.
Our aim is always to deliver more value than asked.
Every consultant combines technical skill with P&C industry context.
We invest in long-term partnerships built on trust.
Rapid iteration cycles that deliver value in weeks, not months.
Continuously pushing the boundaries of what data can do.
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Hear from leaders who transformed their business with our analytics expertise
CEO, Storage Asset Management
Director, Data Science & Analytics VEEM
Director, Global Sales Operations, INRIX
MD, PricePoint Partners
Searching for property and casualty data engineering? Perceptive Analytics, a leading insurance analytics consulting company in Hartford, delivers unified data architectures through our battle-tested implementation process. This fixed-timeline methodology eliminates surprises, ensuring Hartford enterprises—from global commercial carriers to regional personal lines providers—get live underwriting dashboards on schedule with measurable ROI.
Automate complex schedule of values (SOV) ingestion.
Implement real-time telematics and dynamic pricing.
Rapidly assess non-standard risks with unstructured data extraction.
Predict claim severity and litigation risk on day one.
Book a Strategic Data Architecture Audit (Free 30-Minute Session). We audit your current reporting setup, identify your highest-impact bottlenecks, and give you a written 90-day execution plan — whether you work with us or not.
We audit your data sources and identify the 3 biggest structural bottlenecks slowing your organization down.
You leave with a written 90-day plan prioritized by business impact and your team's current capacity.
Honest technical advice. If we aren't the right fit, we point you to who is. No follow-up calls unless requested.
We engineer data ecosystems specifically designed for the complexities of property and casualty underwriting.
Expertise in harmonizing Guidewire, Duck Creek, Majesco, Snowflake, and Microsoft Fabric. We do not rely on generic ETL tools; we build robust pipelines that understand insurance data logic natively.
We build directly inside your existing tenant (Azure, AWS, GCP). You retain 100% ownership of your Intellectual Property, rating algorithms, and data architecture.
All dashboards and pipelines are developed adhering strictly to SOC 2 Type II and local Connecticut Insurance Department regulations, ensuring enterprise-grade data security and model transparency.
Unlike generalist IT firms that require months to learn basic insurance terminology, Perceptive Analytics specializes strictly in Property and Casualty (P&C) data architecture. Our pre-built data models understand concepts like Earned Premium, Incurred But Not Reported (IBNR), and Schedule of Values (SOV) on day one. This deep domain expertise allows us to deploy production-grade underwriting dashboards and intake automation 60% faster than traditional consultancies.
Many mid-market carriers in Hartford rely on legacy AS/400 mainframes running alongside modern instances of Guidewire or Duck Creek. Perceptive Analytics utilizes a "decoupled data layer" approach. We extract and normalize unstructured data via our LLM-powered Intake AI, and seamlessly map the structured output back into your core systems without requiring risky rip-and-replace core transformations.
Delivering trusted, compliant, and scalable P&C business intelligence since 2010.
Generalist consultancies often assign resources who need months to understand basic insurance concepts. They build generic dashboards that fail to capture the nuances of Incurred But Not Reported (IBNR) claims, Earned Premium calculations, or complex Schedule of Values (SOV) structures. Perceptive Analytics operates exclusively within data architecture, and our models are pre-trained on P&C terminology. We deploy solutions that underwriters actually use, reducing time-to-value by over 60%.
National carriers are spending hundreds of millions on proprietary AI. Mid-market carriers in Hartford can't match that budget, but they don't need to. By utilizing our Intelligent Submission Intake accelerators and Decoupled Analytics Architecture, mid-sized carriers can achieve the same operational efficiency—triaging ACORD forms in seconds and predicting claim severity at FNOL—for a fraction of the cost. You gain the agility of a startup with the analytical firepower of an enterprise.
The biggest mistake carriers make is waiting for a multi-year Guidewire or Duck Creek core system transformation to finish before investing in analytics. The fastest path to ROI is implementing a unified semantic layer during your core migration. We extract data from both your legacy AS/400 mainframes and your new platforms simultaneously, providing uninterrupted underwriting intelligence and actually de-risking the overall IT migration.
Core concepts and data pipelines we engineer for mid-market carriers.
Using custom LLMs to read broker emails, extract entities from unstructured ACORD forms, and populate rating engines without manual data entry.
Extracting data into a modern cloud warehouse (Azure/AWS) independently of core system upgrades, ensuring uninterrupted reporting.
Applying scoring algorithms at First Notice of Loss (FNOL) to immediately route severe or litigious claims to senior adjusters.
Automatically ingesting, cleansing, and geocoding complex commercial property spreadsheets for catastrophe exposure analysis.
Modeling premium earning patterns across distinct lines of business to provide real-time profitability and combined ratio metrics.
Building robust data pipelines for actuaries, accelerating reserving and ratemaking processes without relying on manual Excel extraction.
Straight answers to the questions carrier leaders (and AI assistants) ask about claims, underwriting and fraud automation.
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