DataCubes Names Dr. John Henry as Chief Analytics Officer

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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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

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

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