BEIJING (Reuters) -Chinese artificial intelligence startup Moonshot AI released a new open-source AI model on Friday, joining a wave of similar releases from local rivals, as it seeks to reclaim its position in the competitive domestic market.

The model, called Kimi K2, features enhanced coding capabilities and excels at general agent tasks and tool integration, allowing it to break down complex tasks more effectively, the company said in a statement.

Moonshot claimed the model outperforms mainstream open-source models in some areas, including DeepSeek’s V3, and rival capabilities of leading U.S. models such as those from Anthropic in certain functions such as coding.

The release follows a trend among Chinese companies toward open-sourcing AI models, contrasting with many U.S. tech giants like OpenAI and Google that keep their most advanced AI models proprietary. Some American firms, including Meta Platforms, have also released open-source models.

Open-sourcing allows developers to showcase their technological capabilities and expand developer communities as well as their global influence, a strategy likely to help China counter U.S. efforts to limit Beijing’s tech progress.

Other Chinese companies that have released open-source models include DeepSeek, Alibaba, Tencent and Baidu.

Founded in 2023 by Tsinghua University graduate Yang Zhilin, Moonshot is among China’s prominent AI startups and is backed by internet giants including Alibaba.

The company gained prominence in 2024 when users flocked to its platform for its long-text analysis capabilities and AI search functions.

However, its standing has declined this year following DeepSeek’s release of low-cost models, including the R1 model launched in January that disrupted the global AI industry.

Moonshot’s Kimi application ranked third in monthly active users last August but dropped to seventh place by June, according to aicpb.com, a Chinese website that tracks AI products.

(Reporting by Liam Mo and Brenda Goh, Editing by Louise Heavens)

Despite its traditionally risk-averse nature, the insurance industry is being fundamentally reshaped by AI.

AI has already become vital for the insurance industry, touching everything from complex risk calculations to the way insurers talk to their customers. However, while nearly eight out of ten companies are dipping their toes in the AI water, a similar number admit it hasn’t actually made them any more money.

Such figures reveal a simple truth: just buying the fancy new tech isn’t enough. The real winners will be the ones who figure out how to weave it into the very fabric of who they are and everything they do.

You can see the most dramatic changes right at the heart of the business: handling claims. That mountain of paperwork and endless phone calls, a process that could drag on for weeks, is finally being bulldozed by AI.

A deployment by New York-based insurer Lemonade back in 2021 resulted in settling over a third of its claims in just three seconds, with no human input. Or look at a major US travel insurer that handles 400,000 claims a year; it went from a completely manual system to one that was 57% automated, cutting down processing times from weeks to just minutes.

However, this isn’t just about moving faster; it’s about getting it right. AI can slash the kind of costly human errors that lead to claims leakage in the insurance industry by as much as 30%. The knock-on effect is a huge productivity leap, with adjusters able to handle 40-50% more cases. This frees up the real experts to stop being paper-pushers and start focusing on the tricky cases where a human touch and genuine empathy make all the difference.

It’s a similar story for the underwriters, the people who calculate the risks. AI is giving them superpowers, letting them analyse colossal amounts of data from all sorts of places – like telematics or credit scores – that a person could never sift through alone. It can even draft an initial risk report with incredible accuracy by looking at past data and policies in the blink of an eye.

In practice, this helps create pricing that is fairer and more accurately reflects a person’s unique situation. Zurich, for example, used a modern platform to build a risk management tool that made their assessments 90% more accurate.

Suddenly, underwriting isn’t about looking in the rearview mirror anymore—it’s a living, breathing process that can adapt on the fly to new, complex threats like cyberattacks or the effects of climate change.

But this isn’t just about back-office wizardry. When deployed in the insurance industry, AI is completely changing the conversation between insurers and the people they serve. It’s allowing a move away from simply reacting to problems to proactively helping customers.

AI chatbots can offer 24/7 support, getting smarter with every question they answer. This lets the human team focus on the more difficult conversations. The real game-changer, though, is making things personal. 

By understanding a customer’s policy and behaviour, AI can gently nudge them with a renewal reminder or suggest a product that actually fits their life, like usage-based car insurance. It’s about showing customers you actually get them, which builds the kind of loyalty that’s been so hard to come by in an industry where over 30% of claimants feel dissatisfied, and 60% blame slow settlements.

This protective instinct also helps the whole system. AI is a brilliant fraud detective for the insurance industry and beyond, spotting weird patterns in data that a person would miss, and has the potential to cut fraud-related losses by up to 40%. It keeps everyone honest and protects the business and its customers.

What’s pouring fuel on this fire of change? A new breed of low-code platforms. They are the accelerators, letting insurers build and launch new apps and services much faster than before. In a world where customer tastes and rules can change overnight, that kind of speed is everything.

The best part of such tools is they democratise access and put the power to innovate into more hands. They allow regular business users – or ‘citizen developers’ – to build the tools they need without having to be coding geniuses. These platforms often come with strong security and controls, meaning this newfound speed doesn’t have to mean sacrificing safety or compliance, which is non-negotiable for an industry like insurance.

When you step back and look at the big picture, it’s clear that getting on board with AI isn’t just a tech project; it’s a make-or-break business strategy. Those who jumped in early are already pulling away from the pack, seeing things like a 14% jump in customer retention and a 48% rise in Net Promoter Scores. 

The market for this technology is set to explode to over $14 billion dollars by 2034, and some believe AI could add $1.1 trillion in value to the industry every year. But the biggest roadblocks aren’t about the technology itself; they’re about people and old habits.

Data, especially in an industry like insurance, is often stuck in old systems which stops AI from seeing the whole picture. To get past this, you need more than clever software. You need leaders with a clear vision, a willingness to change the company culture, and a commitment to training their people.

The winners in this new era won’t be the ones tinkering with AI in a corner—they’ll be the ones who lead from the top, with a clear plan to make it a part of their DNA. This will require an understanding that it’s not just about doing old things better, but about finding entirely new ways to bring value and build trust.

Learn more about how AI is rewriting the rules of the insurance industry at the upcoming webinar “From Complexity to Clarity: AI + Agility Layer for Intelligent Insurance” on July 16, 2025, at 7PM BST / 2PM ET. Industry experts from Appian and EXL will share real-world examples and practical insights into how leading carriers are implementing these technologies. Registration is available at the webinar link.

Featured speakers include:

• Vikram Machado, Senior Vice President & Practice Leader – Life, Annuities, Retirements & Group Insurance, EXL
• Vikrant Saraswat, Vice President – AI Consulting, EXL
• Jack Moroney, Enterprise Account Executive – Insurance & Financial Services, Appian
• Andrew Kearns, Insurance Industry Lead, Appian
• Michaela Morari, Senior Solution Consultant – Insurance & Financial Services, Appian

See also: UK and Singapore form alliance to guide AI in finance