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Benefits of LMM AI in insurance industry:

 

AI LMM has gained the ability to analyze huge amounts of historical data, identify hidden correlations and anomalies to predict future insurance events, which opens up new opportunities for insurance industry in the US to make additional profits.

Artificia intelligence (AI LMM model with long-term memory), a new AI capable of solving far more meaningful problems than LLM or LSTM.
 

Benefits of LMM AI in insurance:

 

In-depth risk assessment: artificial intelligence with long-term memory (LMM model) can detect anomalies and signal potential risks that may escape other risk assessment algorithms. For example, they can predict a market crash like the aftermath of a coronovirus, or detect signs of catastrophes, traffic accidents, fires, and global risks.


Personalized offers: Thanks to long-term memory, AI builds detailed customer profiles, offering customized insurance products and preventing customer churn.


Optimized underwriting processes: Automating routine tasks speeds up decision-making and reduces insurer operating costs.

Improved loss forecasting:

Accurate forecasts enable more efficient management of financial reserves and risk mitigation strategies for U.S. customers.
Fraud and anomaly detection: LMM models quickly identify suspicious transactions, protecting insurers from financial losses.

 

AI Startup vs. U.S. insurance companies, who will win?

The insurance market is so huge that any company can offer its services and insurances, but the grandees have a developed network of brand loyalty and resources.

AI Startup vs. US insurance companies, who will win?

The insurance market is so huge that any company can offer its services and insurances, but the giants have a developed network of brand loyalty and resources.

AI Startup has a new risk assessment algorithm and technology that reduces the financial cost of risk prediction.

AI Startup is still only a virtual machine for risk assessment, just an algorithm and codes, with small data sets, but the reliability of future risk assessment 87.5% with a gross force of 1.2%-0.1%. The use of artificial intelligence will allow to create a SaaS application, which will significantly save resources, when forming risk forecasts and carry out complex calculations of threats and risks, faster and cheaper saving money.

Startup AI's projected market share is quite small at only 0.025%, but the U.S. insurance market is $2.83 trillion. Such a niche operation of Startup AI, is quite profitable to invest for smart investors. Insurance market giants in the U.S.

Lemonade: This company, specializing in home and property insurance in the U.S., uses chatbots with artificial intelligence to instantly process insurance claims, providing customers with convenient and fast service.

Allstate: The company applies machine learning m artificial intelligence to predict monetary losses from natural disasters in the U.S., allowing it to take early action to reduce risks and optimize insurance rates.

Farmers Insurance: Using computer vision, Farmers Insurance uses artificial intelligence to assess damage after automobile accidents from photographs, which speeds up the process of paying out monetary compensation and increases customer satisfaction in the U.S. and global markets.

Liberty Mutual: The company is actively fighting insurance fraud by applying machine learning algorithms to identify suspicious transactions. Zesty.ai: This startup offers a platform for insurance companies to assess risk using artificial intelligence based on climate, building and other factors. For example, they help assess the risk of wildfires and floods in the U.S. and Canada.

Metromile: The company uses telematics and, with the help of artificial intelligence, analyzes data on driver behavior to determine individual insurance rates, allowing customers to pay only for the actual distance traveled.

The future of AI in insurance risk assessment: AI startup can help in expanding applications: AI will be used for an even wider range of tasks, such as: risk assessment and customer underwriting, risk-avoidance recommendations, company asset management, developing new customized insurance policies, and optimizing insurance company operational processes in the U.S. and global marketplace.

Deepening integration: AI with long-term memory will integrate more tightly with other technologies such as recommendation services, blockchain and the Internet of Things.

Increasing transparency and explainability: Methods will be developed to make AI decisions more transparent and understandable to humans.

AI Startup outlook for the insurance and risk protection segment U.S. Population: as of 2023, the U.S. population is 335 million. The US insurance market is the largest in the world. It is valued at $2.02 trillion in 2024 and is expected to grow to $2.83 trillion by 2029.

Annualized growth rate: Overall, the U.S. insurance market is showing a steady growth rate of 6.95%, although the growth rate may vary depending on the specific segment of the insurance market.

Conclusion AI Startup (AI with long-term memory) is opening up new opportunities for investors and insurance companies in the US. With its ability to analyze large amounts of data and identify complex relationships, this technological breakthrough can improve the accuracy of risk assessment, improve customer service and reduce financial costs.


 

The secrets of AI-assisted insurance?

© AICK, LMM Artificial Intelligence for risk protection in 2025