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.

 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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Convr® Launches DocData, Propelling Submission Excellence and Intelligence for Carriers, MGAs, and Brokers

CHICAGO (September 8, 2026) – Convr®, the leading artificial intelligence company serving commercial insurance organizations, has introduced DocData for commercial brokers, carriers, and MGAs to submit their insurance application documents and receive a comprehensive risk summary for each submission in minutes.

DocData summarizes operational characteristics, exposures, loss history, and other essential data from original submission documents, providing organizations with a reliable overview that lets them know of the risk.

"Carriers,MGAs, and brokers share the same interest in perfecting application data whilereducing handling time,” said Harish Neelmana, Founder, President and ChiefProduct Officer at Convr. “Now they can feed submission documents to Convr and geta comprehensive review of the risk in just minutes.”

First-time users receive five submissions at nocost within five days. Users who see value in expanding to higher volumes can upgradeto the full Convr AI Underwriting Workbench with confidence in the returns theywill see.

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

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LUBA Workers' Comp Goes Live with Convr® to Advance Its Underwriting with AI

CHICAGO (August 18, 2026) – Convr® announced that LUBA Workers' Comp has joined the growing roster of carriers deploying Convr's platform to power AI-driven underwriting. LUBA, a regional workers' compensation carrier headquartered in Baton Rouge, Louisiana, will leverage Convr's modular AI-native underwriting workbench, grounded in the Risk Context Engine to accelerate submission processing, deepen risk insights, and tighten underwriting consistency across its team.

The partnership reflects a shared conviction: that the future of specialty underwriting belongs to carriers that combine deep domain expertise with AI purpose-built specifically for commercial insurance. LUBA brings nearly three decades of workers' compensation expertise across the Southeast; Convr brings the only AI Underwriting Workbench grounded in a proprietary commercial P&C ontology refined over a decade of production data. Together, the two companies are bringing AI-native submission intake, enrichment, classification, and agentic AI decisioning directly into LUBA's underwriting workflow without disrupting the carrier's existing systems or the underwriting discipline that has driven its growth.

Through the partnership LUBA's underwriting team will gain:

  • Submission intake and triage that instantly extracts data from ACORD forms, loss runs, and broker emails, reducing manual processing and accelerating time to quote
  • Enriched risk insights drawn from thousands of data sources, surfaced inline within the submission for faster, confident decisions
  • Greater underwriting consistency through agentic AI workflows, standardized data, and structured decisioning, reducing referral dependency and tightening cycle times
  • A modular deployment that integrates with LUBA's existing technology stack without disruption

All capabilities are grounded in Convr's Risk Context Engine, the only commercial P&C ontology in the industry built and calibrated on a decade of production data.

"LUBA is exactly the kind of specialty carrier the industry should be watching – they’re disciplined, focused, and serious about combining deep expertise with the right technology," said John Stammen, Chief Executive Officer at Convr. "We're proud to partner with LUBA's team and to bring the Risk Context Engine to bear on workers' compensation underwriting across the Gulf South. This is what AI in insurance is supposed to look like: grounded, explainable, and built to make great underwriters even better." ‍

Sapiens Integration
Through the relationship with LUBA, Convr is now also integrated with Sapiens International Corporation, a global leader of AI-centric, SaaS-based insurance software. The connection is designed to give mutual carrier customers a seamless path from submission intake through underwriting decision, powered by Convr's AI and enrichment capabilities and delivered within the Sapiens ecosystem.

Availability
The Convr AI Underwriting Workbench is live and in deployment with LUBA Workers’ Comp. Carriers, MGAs, and program administrators interested in learning more about Convr's platform can visit convr.com or contact a Convr representative.

Media Contacts
Convr
Alex Williams
Senior Promotions Manager
alex.williams@convr.com
217-737-2782

LUBA Workers’ Comp
Jennifer Vaccaro
Vice President, Communications & Public Relations Manager
jvaccaro@lubawc.com
225-389-5822

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Convr® Closes Underwriting Loop with d3 Desk: Rate, Quote, and Bind from Inside the AI Workbench

CHICAGO (August 4, 2026) – Convr®, the company that invented theAI-native commercial underwriting workbench, today announced the strategic positioning of d3 Desk, the rating and quoting engine inside its Convr AIUnderwriting Workbench. The d3 Desk module gives commercial P&C carriers and MGAs a single environment to rate risks, generate quotes, and initiate bind, eliminating the workflow gaps that have historically forced underwriters to jump between systems.

Foryears, commercial underwriters have relied on disconnected tools to move fromsubmission to bind. The fragmentation slows decisioning, introduces re-keyingerrors, and adds operational friction confounding scale. By incorporating rateand quote natively inside the Convr AI Underwriting Workbench — with APIintegrations to any partner system even manual spreadsheets — d3 Desk completesthe binding process with a new industry level of productivity.

"Ourcustomers have been asking for one thing consistently . . . close theloop," said John Stammen, Chief Executive Officer at Convr. "They love what we do upstream with intake and risk analysis, but the moment anunderwriter has to leave the workbench to rate or quote, the productivity gainsare diluted, but d3 Desk solves that. Underwriting teams can now move from asubmission landing in their inbox to a quote being delivered without everleaving our workbench."

Built for the reality of commercial underwriting

Unlike consumer or small-commercial rating engines, d3 Desk is designed for complexity. The engine handles multi-line, multi-state, and multi-coverage scenarios, accommodates carrier-specific rating logic, and supports the kind of underwriter judgment that commercial submissions require. Quotes generated through d3 Desk are grounded in Convr's Risk Context Engine — a foundation that combines a 161-million-entity data lake, a commercial P&C schema continuously refined since 2016, a knowledge graph that validates every datapoint, and a domain ontology built specifically for commercial insurance.

That grounding matters. AI-driven rating is only as reliable as the data it uses to reason. d3 Desk's outputs are explainable, traceable, and consistent with  the underwriting guidelines a carrier has built into the platform.

Bindthrough any partner System

While d3 Desk handles rate and quote natively, it is intentionally open at the bind stage. Carriers can connect d3 Desk via API to their existing policy administration system (PAS), whether that is a major core platform, a cloud-native PAS, or a homegrown solution. This approach gives carriers the speed of an integrated workbench without forcing them to replace systems they already rely on.

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

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