August 27, 2019
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DataCubes and St. Joseph University Forge Research Collaboration

AI & machine learning research & academic partnership with St Joseph University Maguire Academy of Risk and Insurance Management - Haub School of Business to advance AI

CHICAGO (Aug. 27, 2019) - DataCubes, the leading decision automation platform that helps commercial P&C insurance carriers automate intelligence gathering, discover important underwriting insights and make better underwriting decisions in near real-time, today announced a collaborative partnership with St. Joseph University, one of the top insurance schools in the country.

Through the relationship, DataCubes and St. Joseph University’s Risk Management and Insurance program will collaborate to design, implement and monitor a mutually beneficial research program. The program, which aims to build on existing insights and broaden research in the field of AI and machine learning, will initially focus on bringing DataCubes’ technology to the classroom.

DataCubes’ d3 Underwriting™ platform, which uses AI and machine learning to help commercial insurance carriers optimize and automate the underwriting decision process, will be integrated into the students’ curriculum. DataCubes will help facilitate research projects, offering guidance and mentorship, best practices on innovation, as well as internships to St. Joseph’s Risk and Insurance Management students. The partners will also collaborate on the university’s annual insurtech symposium.

“St. Joseph University’s Risk Management and Insurance program consistently ranks in the top five undergraduate insurance programs in the country and we are thrilled to be sharing expertise and working with some of the best scientific minds in the country,” said Harish Neelamana, DataCubes co-founder and chief product officer. “The research we do together will have the potential to influence the evolution of the entire industry!”
“This immersive program will nurture talent, ideas and discoveries,” said Michael Angelina, executive director of the Academy of Risk Management and Insurance at Saint Joseph’s University. “We look forward to working with DataCubes on our vision to bridge academia and business with the goal of developing talent and advancing the insurance industry.”

The mission of the Maguire Academy of Insurance and Risk Management is to promote and support the concept of risk management and insurance education; to provide services to risk management and insurance students, including scholarship aid, recruiting, internships/cooperative education, counseling and placement; and, with and through the University, to support the Department of Finance, which houses the risk management and insurance program.

About DataCubes

Headquartered in Schaumburg, Illinois, and founded in 2016 by Kuldeep Malik and Harish Neelamana, DataCubes is the first decision automation platform for commercial P&C underwriting. The company has revolutionized the commercial underwriting process with cutting-edge AI and data science. Commercial carriers of all sizes use DataCubes to make real-time underwriting decisions based on rich data and highly accurate intelligence gathered by external sources to improve productivity, profitability, efficiency and accuracy. To learn more, visit datacubes.com.

About Maguire Academy of Insurance and Risk Management

Created by James Maguire ’58, founder of Philadelphia Insurance Company, the mission of the Maguire Academy of Insurance and Risk Management is to promote and support the concept of risk management and insurance education; to provide services to risk management and insurance students, including scholarship aid, recruiting, internships/cooperative education, counseling and placement; and, with and through the University, to support the Department of Finance, which houses the risk management and insurance program.

 The Underwriting Eco-system

About Convr

Convr is a modular AI underwriting, data and intelligent document automation workbench grounded in the only P&C-specific Risk Context Engine that delivers consistent, traceable, verifiable risk data, in-line. The result: full lifecycle visibility from submission to renewal, better risk selection, faster decisions, and more profitable accounts across rate, quote, bind workflows.

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Insights, announcements, and trends shaping the commercial P&C insurance industry.

XX MIN READ

New Convr Survey Uncovers the Real Bottleneck: It's the Data, Not the People

CHICAGO (July 21, 2026) — Convr®, the leading AI-native underwriting workbench purpose-built for commercial P&C insurance, today released new findings from its 2026 Convr Insurance Talent and Tech Trends Survey that challenge a long-standing industry narrative.

While carriers continue to cite talent shortages as a primary obstacle to faster, more consistent underwriting, the survey of 211 commercial insurance professionals reveals that the real bottleneck is the data and technology environment underwriters are forced to work within.

Underwriters aren't slow. Their tools are.

When asked what slows down underwriting most at their companies today, respondents pointed overwhelmingly to data and tooling problems rather than people problems:

  • 35.1% cited manual data entry as a top barrier
  • 27.5% pointed to dated, legacy technology
  • 24.6% identified too many submission data sources
  • 23.2% named old processes
  • 21.3% reported lack of reliability and consistency in their current systems

Compounding the issue, 63% of carriers report operating in hybrid technology environments — a legacy core with cloud-based tools layered on top — and another 22.7% remain predominantly legacy on-premise. Only 14.2% describe their core underwriting platform as mostly modern SaaS or cloud-native.

The talent narrative deserves a closer look.

When asked about the hardest underwriting talent attributes to acquire, the top response was "high productivity" (50.2%), a quality that depends as much on the systems underwriters use as on the underwriters themselves. Other top-cited attributes included insurance expertise (43.1%), technology competence (38.9%), and the ability to source appropriate data (37%).

"For years, the industry has framed underwriting capacity as a talent problem and there's no question the talent pipeline matters," said John Stammen, Chief Executive Officer at Convr. "But our data tells a more honest story. Underwriters aren't slow. They're being asked to do extraordinary work on top of fragmented data, manual entry, and legacy systems that were never designed for the volume or complexity of today's P&C market. The carriers winning the productivity battle aren't the ones hiring more underwriters, they're the ones giving their underwriters the data, tools, and the workflow to actually do their jobs."

Underwriters know exactly what they need.

When asked what their underwriting teams would benefit most from, respondents pointed to capabilities that directly address the data and tooling gap:

  • 47.4% cited AI tool training
  • 46.9% cited pre-screened and enriched submissions
  • 45.5% cited simplified access to data
  • 42.2% cited better historical account and loss data
  • 36.5% cited improved data source visibility

These are not aspirational asks. They are foundational requirements and they map directly to the capabilities Convr delivers through its modular AI-powered underwriting workbench.

"Every carrier we work with has talented underwriters," Stammen added. "What they don't have yet is an environment that lets those underwriters operate to the best of their abilities. That's the gap Convr was built to close. When you take manual data entry off an underwriter's plate, you don't just save time. You unlock judgment, speed, and consistency at scale."

About the 2026 Convr Insurance Survey

The 2026 Convr Insurance Talent and Tech Trends Survey was conducted in April and reflects responses from 211 commercial insurance professionals working in property and casualty, with strong representation from leadership (35.1%), VP/Executive (37%), and management (42.2%) roles across carriers, MGAs, brokerages, and specialty markets.

For more information, visit convr.com.

Media Contact:
Alex Williams
alex.williams@convr.com
217-737-2782

XX MIN READ

Crestwell Underwriters Expands New Partnership with Convr® to Modernize Commercial Underwriting

CHICAGO (July 7, 2026) – Convr®,the leading underwriting workbench for commercial insurance organizations, offering a modular platform that streamlines underwriting workflows from submission to decision, today announced an expanded partnership with Crestwell Underwriters, a provider of specialty property insurance programs designed for condominium and homeowners associations.

Crestwell Underwriters originally approached Convr to address a familiar challenge across commercial P&C underwriting: a manual, time-intensive submission process that pulled experienced underwriters away from higher-value risk decisions. The company began with Convr's Intake module to automate and streamline its submission workflow.

"Crestwell Underwriters first saw value in Convr's Intake module and recognized that Convr could help eliminate submissions that didn't meet our risk appetite and reduce the need for manual review by an underwriter," said Paul DiFrancesco, ChiefUnderwriting Officer at Crestwell Underwriters.

The partnershiphas since expanded. Crestwell Underwriters now leverages both Convr Intake and Convr Scores, gaining a more complete view of each submission and a faster path from data to decision.

"Crestwell Underwriters is primed to take their underwriting to the next level through the power of Convr," said John Stammen, Chief Executive Officer at Convr."What sets Crestwell apart is their willingness to challenge the status quo and envision the best approach to commercial underwriting.”

By combining Intake and Scores, Crestwell Underwriters has placed their organization in a position to process more business, focus their underwriters on the risks that truly fit their appetite, and deliver faster, more consistent decisions to their broker partners.

About Convr Intake and Scores

Intake ingests, splits, classifies, extracts and prioritizes precise data from structured and unstructured documents including: PDF, Excel, Word, and emails to automate and streamline clearance and loss analysis workflows.

Scores helps underwriters evaluate and prioritize submissions to ensure quoted business fits their risk appetite.

“This is exactly the kind of forward-thinking partnership we built Convr to support, and we're proud to be on this journey with them,” said Stammen.

Media Contact
Alex Williams
Sr. Promotions Manager
alex.williams@convr.com
217-737-2782

XX MIN READ

Convr® Makes the Industry's Only Commercial P&C Risk Context Engine Available to AI Agents via Model Context Protocol (MCP)

CHICAGO (June 25, 2026) – An underwriter reviewing a $40M manufacturing submission can now ask their AI assistant — Microsoft Copilot, Claude, or any compatible agent, "What are the key risk characteristics on this account and how does it compare to similar risks?" and get an answer grounded in Convr's commercial P&C Risk Context Engine (RCE). That includes exposure profile, prior losses, peer benchmarks, and classification, all traceable to source.  

Convr® has added support for the Model Context Protocol (MCP), the open standard that lets AI agents call external systems as tools, making the RCE the industry's only commercial P&C knowledge graph and semantic ontology purpose-built for underwriting — available to any MCP-compatible AI system.

What underwriters can now do from inside their AI agent of choice:

  • Triage new submissions against carrier appetite  
  • Pull exposure summaries, prior-loss context, and peer benchmarks mid-conversation with a broker
  • Validate classifications and surface missing information before binding
  • Ground AI-drafted quote rationale, declination letters, and referral memos in RCE data the underwriter can trace

Because the RCE is calibrated against real commercial P&C submissions and refined in production across carriers, MGAs, and brokers, every response carries the same grounding and traceability as work done directly in the Convr Underwriting Workbench.

"Underwriting decisions are only as good as the context behind them, and the best source of commercial P&C insurance context is the Convr Risk Context Engine," said Harish Neelamana, Founder, President and Chief Product Officer at Convr. "With MCP, an underwriter can stay in Microsoft Copilot, Claude, or whichever AI agent their carrier has standardized on, and the RCE meets them there — with the same grounded, traceable intelligence they'd get inside the Convr Underwriting Workbench. The decision gets made faster, with better context, and the underwriter never has to leave the tool they're already in."


Availability

MCP connectivity is available to Convr Underwriting Workbench customers. Carriers, MGAs, and brokers interested in learning more can visit convr.com or contact a Convr representative.

Media Contact
Alex Williams
Senior Promotions Manager
alex.williams@convr.com

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