September 16, 2019
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DataCubes Names Dr. John Henry as Chief Analytics Officer

Appointment underscores DataCubes’ commitment to solving key risk analysis pain points

CHICAGO (September 16, 2019) - DataCubes, a leading decision automation platform for commercial P&C underwriting, announced today that former Maiden Re Chief Data Scientist, Dr. John Henry has joined the company as Chief Analytics Officer (CAO). The appointment reflects the company’s emphasis on using AI for decision automation, the evolving needs of risk analysis and the maturation of the commercial underwriting market. In this newly created role, Henry will continue to advance DataCubes’ AI strategy and will be responsible for integrating these capabilities into DataCubes’ product roadmap.

“As the commercial insurance industry continues to digitize and move toward automating not only the collection of information, but the entire underwriting decision making process, the key accelerators of our future growth lie in accelerating our ability to turn data into decisions,” said Harish Neelamana, co-founder and President at DataCubes. “We are going to continue to eliminate a great deal of friction from the commercial underwriting process and John is going to be paramount as we execute on our commitment to offering carriers the kind of agility and decisioning power that elevates their ability to serve their markets.”

Prior to joining DataCubes, Henry was Chief Data Science Officer at Maiden Re. Before Maiden Re, he gained nearly 20 years of industry experience working at AIG, Oregon Mutual Insurance and Liberty Northwest in various roles including manager of quantitative analytics, predictive modeler and assistant actuarial analyst. Henry is also a mathematics professor with teaching experience at New York University, Oregon State University and NC State University. Henry holds a PhD in statistics from Oregon State University and a master's degree in statistics. Henry has published work in top journals on statistical theory and actuarial science and is a frequent speaker at academic and industry conferences.

“It has become increasingly necessary for insurance companies to adopt more sophisticated analytics and technologies and DataCubes is giving its customers a real competitive advantage in this area,” said John Henry, CAO at DataCubes. “I'm excited to be joining such a talented team and to capture the massive opportunity in front of us.”

Henry’s appointment comes during a highly successful year for DataCubes. The company continues to accelerate its momentum and is seeing rapid market traction with a long line of insurers that have adopted its platform. Over 30 national and regional carriers as well as MGAs including The Hanover, Selective Insurance, RLI, Columbia Insurance Group, Penn National Insurance, Tangram, WCF Insurance and Synergy Coverage Solutions trust DataCubes’ actionable intelligence to improve underwriting accuracy, productivity and profitability.

Since launching in 2016, DataCubes has been helping carriers transform the underwriting process. With its advanced machine learning models, its d3 Underwriting™ platform analyzes and interprets submission documents as well as over four billion data points to build robust business profiles that help carriers automate intelligence gathering, discover important underwriting insights and make better underwriting decisions in near real-time.

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 www.datacubes.com.

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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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