Market insights, education, and updates from hx

Explore the hx Live London 2026 keynote highlights, including hx platform updates, underwriting workflow demos, and the launch of hyperoperator for agentic underwriting.

hyperexponential's CEO on the future of the underwriting workbench and what it means for carriers and underwriters.

What are underwriting workbenches? How have they evolved? What to look for next?

Introducing hyperoperator: the first AI agent for commercial P&C underwriting, running inside your appetite, pricing, and authority controls.

In the 2nd edition of our Community Developer Spotlight series, Jon sits down with Ali Ghazi, Assistant Vice President - Pricing and Analytics at Sompo. To hear about his journey from actuarial roots to leading one of the most ambitious property model builds on the hx platform.

When a new submission lands today, a pricing actuary's model sits in one system. An underwriter's workflow sits in another. Portfolio signals that would change the decision sit somewhere else entirely. Each of those systems might be good at what it does.

How Carbon Underwriting built a proprietary insurance technology platform from day one, and what insurers can learn about hiring, team structure, and competitive advantage.

Most insurance digital transformation programs stall before they deliver. Here's why mindset, not technology, is where lasting change begins.

Reinsurance technology is gaining traction through trust-first adoption. Learn why past platforms failed and what works for cedents, brokers, and reinsurers.

Insurance orchestration coordinates multi-vendor, multi-cloud tools across lines and geographies to reduce vendor lock-in and improve flexibility.

Learn how QBE Ventures reshapes insurance investment by starting with validated business problems, strategic partnerships, and corporate venture capital discipline.

Explore what makes a great insurance broker, from translating complex risk data to building trust across the London Market’s specialist placement chain.

See how smart insurance trading and algorithmic matching are transforming London Market capacity placement, replacing manual negotiation with faster data-led workflows.

Jonathan Bowden sits down with Ellen Savoye, Lead Pricing Developer at Markel, to hear about her journey into technical pricing, how her team is approaching their pricing transformation, and what she's most excited about on the hx platform.

The Chief Pricing Actuary of the future will blend classic actuarial expertise with new technical proficiencies and leadership skills. Explore what this means in practice and how the profession is adapting.

Apollo deployed 19 AI models by augmenting underwriters, not replacing them. James Slaughter of Apollo shares the three-pillar approach that turned skepticism into adoption.

MGA-carrier relationships depend on aligned incentives and clear performance thresholds. Learn how contractual alignment drives profitable partnerships.

Learn how insurance underwriting teams bridge analytics and intuition through shared accountability, backtesting, and trust-building practices from Aviva's CUO Karen Dayal.

Most carriers are further along in AI conversations than AI outcomes. Here are five takeaways from the Celent State of AI in Underwriting 2026 webinar.

The shift from proprietary to open source AI models gives insurers new freedom to build flexible, vendor-independent AI systems focused on business value rather than model dependency.

Adam Ben-David, Senior Director of AI at hx, explains how underwriting teams should think through the autonomy decision and what it takes to stay in control of a system that acts on your behalf.

Underwriters in large commercial lines spend 30–40% of their time on administrative work like rekeying data and running manual analyses, according to McKinsey. The...

Rate change ignores profitability impact from policy wording drift. Learn more about using AI to track year-over-year coverage expansions at scale.

Insurance technology in 2026 is shifting from AI experimentation to execution. Learn how carriers are scaling pilots into production value.

Excel vs Python for Data Analysis: Learn when Excel becomes inadequate and why integrated platforms deliver Python's power without complexity.

Snr Director of AI at hyperexponential, Adam Ben-David, explains the difference between training, fine-tuning and self-healing AI

Discover how underwriting algorithms give insurers measurable competitive advantages: quote more business faster, improve loss ratios, and scale operations.

Learn how automated insurance underwriting works, where it delivers value for commercial P&C carriers, and where human judgment remains essential.

discover how integrations with the hx platform unlock new possibilities

Agentic AI delivers more risks priced, more book written, and better loss ratio for commercial P&C insurers. Explore six use cases, implementation strategies, and ROI.

AI for P&C insurers means experts can achieve significant loss ratio improvements and faster quotes. Learn how carriers transform underwriting, claims, and fraud detection.

Commercial P&C carriers have spent decades optimizing for speed. Workbenches, AI submission ingestion, algorithmic underwriting, they all accelerate underwriting and eliminate manual processes.

Learn how submission triage works in commercial P&C insurance, from intake to routing, and how AI is helping carriers prioritize high-value opportunities.

Data ingestion software for insurers automates submission processing, eliminates manual re-keying, and accelerates quotes with AI platforms.

Reprice large portfolios quickly, confidently, and with far less effort than ever before in hx.

This analysis provides a framework for evaluating when Excel no longer serves complex insurance pricing needs and what modern alternatives offer.

Discover how AI and data technology are transforming the insurance industry and reshaping commercial P&C insurance.

Commercial P&C carriers achieve 2-4 point loss ratio improvements with integrated AI underwriting platforms. Compare workflow automation vs decision intelligence.

Learn how to measure AI ROI in commercial P&C insurance using 6 proven frameworks. Includes combined ratio impact analysis and real carrier case studies.

AI submission ingestion extracts, classifies, and validates data from unstructured insurance documents. Learn how it works and why it matters for underwriting.

hyperexponential’s Actuarial Agent helps actuaries replace spreadsheet driven workflows with strategic and scalable processes. Discover prompt driven capabilities for communication, QA, integrations, model migration, and documentation, and shift your team from reactive tasks to high impact results. Try Actuarial Agent today.

AI transforms actuarial work, not eliminates it. 22% growth projected through 2034 as AI automates tasks while expanding demand for expertise.

Commercial carriers achieve 2-17.6 point combined ratio improvements through real-time portfolio optimization. Eliminate $100-180M annual opportunity costs.

Discover how MGAs can use AI to speed up quoting, improve pricing accuracy, strengthen broker relationships, and build scalable underwriting processes while protecting rate adequacy and adapting to emerging risks.

From inbox overload to intelligent orchestration - hx announce new Triage solution connected directly to your pricing and rating stack.

Sam Altman's prophecy; could it realise itself in the form of a Managing General Agent?

Alex Karet breaks down the common misconception that pro-code solutions don't enable business users without professional programming experience.

Explore why i bet my career on insurance - and why you should too and discover how artificial intelligence and machine learning are transforming the insurance industry.

Alex Karet lays out the compelling case for pro-code tools when building scalable solutions for complex risk scenarios

Outperform the market with these pricing best practices from the Lloyd’s Pricing Maturity Matrix.

Excel-based and legacy pricing tools simply cannot compete in a fiercely competitive market

In actuarial model development, repeating yourself might be the smartest move. Here’s why delaying abstraction leads to faster, more flexible models.

The decision to build or buy must be weighed not just in terms of technical ownership, but through the dual lenses of Total Cost of Ownership (TCO) and Time to Value (TTV).

AI transforms a manual, error-prone underwriter task into a 100% automated, accurate solution.

Pricing transformation has emerged as a strategic priority across the insurance industry, and deciding whether to build or buy is a critical decision in the process.

Strong collaboration between underwriters and actuarial teams are essential for driving stronger risk-adjusted returns.

Underwriting decisions are contextual and data-driven with granular data powering advanced analytics

Jamie Wilson dives into the future of pricing complex risk and why all actuaries should become pro coders to keep pace with the rapidly changing landscape.

Poor governance leads to fragmented and unstable systems that hinder growth. Here's how to introduce seamless governance to pricing workflows.

Data is the lifeblood of insurance decision-making. From underwriting to pricing and risk assessment, insurers rely on accurate, well-structured data to make informed decisions.

By ensuring no data is lost or siloed, hx empowers insurers to turn overlooked information into actionable intelligence—driving better decision-making and long-term profitability.

Explore ai best practices for model development and discover how artificial intelligence and machine learning are transforming the insurance industry.

Underwriters deserve better—but legacy processes are holding them back

In a recent webinar, we explored how hyperexponential's recent partnership with Swiss Re was unlocking value for our customers

Discover key benefits of the hx platform for IT teams, from seamless data integrations to robust security measures.

We explore how the 2025 Los Angeles wildfires highlight key and ongoing challenges for insurers responding to escalating climate risk.

Tackle problems like outdated pricing models, fragile spreadsheets, inefficient and highly manual workflows, poor actuary-underwriter collaboration, and a lack of quality accessible data.

Recapping the first-ever hyperexponential Python workshop, bringing actuaries together for a hands-on session to expand their python skills.

An underwriting transformation specialist explores the state of automation in the specialty insurance market and solutions to maximise underwriter efficiency.

Learn all about the power of Custom User Interface Components in Insurance pricing in this article that will help you generate new insights into your pricing.

How is cutting-edge technology, like AI, being implemented in the insurance industry?

By streamlining model development, the Treaty XoL model reduces build time by up to 80%, empowering reinsurers to operate more efficiently. Learn all about it here.

I’m genuinely excited about the possibilities AI and ML present for our industry. These technologies will empower insurers to maximize existing resources, harness previously untapped or underutilized data, and automate time-consuming tasks, to allow for more focus on value-driven work. Actuaries will be able to develop more robust pricing models, and ultimately drive business success.

Explore the top 3 challenges of implementing machine learning for london market pricing and discover how artificial intelligence and machine learning are transforming the insurance industry.

Risa Ryan shares her thoughts on how AI and ML will help address longstanding underwriting challenges

Uncover how Python excels in handling challenges for the insurance industry, offering solutions that outperform other programming languages in efficiency and flexibility. Explore practical applications and understand why Python is a top choice for forward-thinking professionals in the insurance industry

Complex risks need reliable, accurate rating tools and pricing processes. Excel-based pricing systems don’t cut it. Here are five reasons why.

Are you ready for the future of underwriting? Discover a bold vision of rich data, empowered decision-making, and seamless workflows. This is Underwriting 3.0.

Lloyd's recently launched their 'Principles of Doing Business,' outlining the responsibilities of all managing agents. This blog covers our summary of the new principles and includes a guide on how to stay compliant.

See the key drivers for digital transformations within the reinsurance sector and why pricing has established itself as a key initiative for successful reinsurers.

Explore how Machine Learning and AI technologies are transforming the insurance industry, with practical insights for actuaries, underwriters, and insurtech professionals.

Explore solving the machine learning data challenge: how well can you fake it? and discover how artificial intelligence and machine learning are transforming the insurance industry.

Specialty insurers face evolving challenges in a technology-driven world. To thrive, they must embrace digital transformation and leverage technology for agile risk management.

Technology is transforming many industries presenting both opportunity and threat to the status quo. It has created a new breed of market disrupters, but it is also enabling many traditional organisations to re-invent themselves in the digital era.

Explore the hunt for truth: why is exploratory data analysis important? and discover how artificial intelligence and machine learning are transforming the insurance industry.