Log10 for Insurance
Log10 for Insurance
Transforming Insurance with AI Precision.
Transforming Insurance with AI Precision.
Define and attain crucial LLM accuracy targets in insurance with AI-powered LLMOps & Observability.
Define and attain crucial LLM accuracy targets in insurance with AI-powered LLMOps & Observability.
Define and attain crucial LLM accuracy targets in insurance with AI-powered LLMOps & Observability.
Define and attain crucial LLM accuracy targets in insurance with AI-powered LLMOps & Observability.
LLMs are revolutionizing insurance
Insurance companies are leveraging Large Language Models (LLMs) in key areas to improve efficiency, enhance products, and deliver better services.
Insurance companies are leveraging Large Language Models (LLMs) in key areas to improve efficiency, enhance products, and deliver better services.
Insurance companies are leveraging Large Language Models (LLMs) in key areas to improve efficiency, enhance products, and deliver better services.
01
Chatbot Q&A Systems
LLM-driven chatbot question-and-answer systems provide instant, accurate responses to user inquiries, facilitating efficient data collection and analysis for underwriting and claims processes.
01
Chatbot Q&A Systems
LLM-driven chatbot question-and-answer systems provide instant, accurate responses to user inquiries, facilitating efficient data collection and analysis for underwriting and claims processes.
01
Chatbot Q&A Systems
LLM-driven chatbot question-and-answer systems provide instant, accurate responses to user inquiries, facilitating efficient data collection and analysis for underwriting and claims processes.
01
Chatbot Q&A Systems
LLM-driven chatbot question-and-answer systems provide instant, accurate responses to user inquiries, facilitating efficient data collection and analysis for underwriting and claims processes.
02
Underwriting, Risk Assessment & Pricing Optimization
LLMs enhance underwriting, risk assessment, and pricing optimization by analyzing historical data and market trends, empowering actuaries and underwriters to make informed decisions and develop competitive pricing strategies.
02
Underwriting, Risk Assessment & Pricing Optimization
LLMs enhance underwriting, risk assessment, and pricing optimization by analyzing historical data and market trends, empowering actuaries and underwriters to make informed decisions and develop competitive pricing strategies.
02
Underwriting, Risk Assessment & Pricing Optimization
LLMs enhance underwriting, risk assessment, and pricing optimization by analyzing historical data and market trends, empowering actuaries and underwriters to make informed decisions and develop competitive pricing strategies.
02
Underwriting, Risk Assessment & Pricing Optimization
LLMs enhance underwriting, risk assessment, and pricing optimization by analyzing historical data and market trends, empowering actuaries and underwriters to make informed decisions and develop competitive pricing strategies.
03
Claims Management, Billing, & Policy Generation
LLMs automate the claims process, enhance billing accuracy, and streamline policy generation by synthesizing information from various sources, reducing manual workload and improving efficiency.
03
Claims Management, Billing, & Policy Generation
LLMs automate the claims process, enhance billing accuracy, and streamline policy generation by synthesizing information from various sources, reducing manual workload and improving efficiency.
03
Claims Management, Billing, & Policy Generation
LLMs automate the claims process, enhance billing accuracy, and streamline policy generation by synthesizing information from various sources, reducing manual workload and improving efficiency.
03
Claims Management, Billing, & Policy Generation
LLMs automate the claims process, enhance billing accuracy, and streamline policy generation by synthesizing information from various sources, reducing manual workload and improving efficiency.
04
Fraud Detection
LLMs enhance fraud detection capabilities by analyzing patterns in textual data, improving accuracy in identifying fraudulent activities.
04
Fraud Detection
LLMs enhance fraud detection capabilities by analyzing patterns in textual data, improving accuracy in identifying fraudulent activities.
04
Fraud Detection
LLMs enhance fraud detection capabilities by analyzing patterns in textual data, improving accuracy in identifying fraudulent activities.
04
Fraud Detection
LLMs enhance fraud detection capabilities by analyzing patterns in textual data, improving accuracy in identifying fraudulent activities.
05
Regulatory Compliance
LLMs assist in automating compliance processes by analyzing legal documents and ensuring adherence to regulatory requirements, minimizing risks and manual efforts.
05
Regulatory Compliance
LLMs assist in automating compliance processes by analyzing legal documents and ensuring adherence to regulatory requirements, minimizing risks and manual efforts.
05
Regulatory Compliance
LLMs assist in automating compliance processes by analyzing legal documents and ensuring adherence to regulatory requirements, minimizing risks and manual efforts.
05
Regulatory Compliance
LLMs assist in automating compliance processes by analyzing legal documents and ensuring adherence to regulatory requirements, minimizing risks and manual efforts.
06
Cyber & AI Insurance
LLM-based feedback models provide an independent way for insurance companies to evaluate risk from AI inaccuracies or hallucinations when underwriting cyber or AI insurance policies.
06
Cyber & AI Insurance
LLM-based feedback models provide an independent way for insurance companies to evaluate risk from AI inaccuracies or hallucinations when underwriting cyber or AI insurance policies.
06
Cyber & AI Insurance
LLM-based feedback models provide an independent way for insurance companies to evaluate risk from AI inaccuracies or hallucinations when underwriting cyber or AI insurance policies.
06
Cyber & AI Insurance
LLM-based feedback models provide an independent way for insurance companies to evaluate risk from AI inaccuracies or hallucinations when underwriting cyber or AI insurance policies.
Consequence
The chatbot collects sensitive information without proper data protection, leading to a potential data breach. This could result in regulatory fines and damage to the company's reputation.
The problem
The problem
LLM errors and hallucinations can lead to significant risks
LLMs can produce unreliable results that provide incorrect advice or disclose sensitive information leading to privacy violations. Human oversight guarantees accuracy and safety, but it’s impossible to manually evaluate thousands or millions of LLM completions each day.
LLMs can produce unreliable results that provide incorrect advice or disclose sensitive information leading to privacy violations. Human oversight guarantees accuracy and safety, but it’s impossible to manually evaluate thousands or millions of LLM completions each day.
LLMs can produce unreliable results that provide incorrect advice or disclose sensitive information leading to privacy violations. Human oversight guarantees accuracy and safety, but it’s impossible to manually evaluate thousands or millions of LLM completions each day.
Our solution
Our solution
Get human-accurate LLM oversight with customized models
Log10 AutoFeedback evaluation models detect errors and reduce risk by instantly reviewing LLM completions with the accuracy of a human. Inspired by interpretability research and using latent space technology, Log10 AutoFeedback offers accuracy comparable to fine-tuned models and surpasses LLM-as-a-judge, all while needing far fewer samples for faster, more efficient deployment.
90% less data needed; start with just 20-30 human samples
90% less data needed; start with just 20-30 human samples
90% less data needed; start with just 20-30 human samples
90% less data needed; start with just 20-30 human samples
Highly customizable for specific tasks and domains
Highly customizable for specific tasks and domains
Highly customizable for specific tasks and domains
Highly customizable for specific tasks and domains
Lightning-fast: <100ms latency
Lightning-fast: <100ms latency
Lightning-fast: <100ms latency
Lightning-fast: <100ms latency
Cheaper: leverages compact models vs. GPT-scale ones
Cheaper: leverages compact models vs. GPT-scale ones
Cheaper: leverages compact models vs. GPT-scale ones
Cheaper: leverages compact models vs. GPT-scale ones
Versatile: supports agentic & multimodal evals
Versatile: supports agentic & multimodal evals
Versatile: supports agentic & multimodal evals
Versatile: supports agentic & multimodal evals
Ideal for on-prem deployment
Ideal for on-prem deployment
Ideal for on-prem deployment
Ideal for on-prem deployment
Log10 AutoFeedback models are faster, cheaper, and require minimal data. Zero-shot prompting is quick but often lacks accuracy, while fine-tuned models are precise but demand significant resources. Log10 AutoFeedback combines the best of both, offering accuracy comparable to fine-tuned models and surpassing LLM-as-a-judge, all while needing far fewer samples for faster, more efficient deployment.
By labeling each and every LLM completion with human-accurate feedback, AutoFeedback powers observability, workflow, and automation features that enable developers to set and hit critical reliability goals for insurance AI applications.
By labeling each and every LLM completion with human-accurate feedback, AutoFeedback powers observability, workflow, and automation features that enable developers to set and hit critical reliability goals for insurance AI applications.
By labeling each and every LLM completion with human-accurate feedback, AutoFeedback powers observability, workflow, and automation features that enable developers to set and hit critical reliability goals for insurance AI applications.
Monitoring & Alerting
Set quality threshold targets and understand exactly how your application is performing. Get alerts when quality falls below critical thresholds.
Ranking & Triaging
Errors are automatically prioritized and queued for resolution. Engineers debug and resolve issues using the Log10 LLMOps Observability Stack.
Self-Improving Applications
Datasets curated with feedback automatically tune prompts and models, continuously improving accuracy while in production.
Want to know more? We’ve got you covered.
Want to know more? We’ve got you covered.
Want to know more? We’ve got you covered.
Want to know more? We’ve got you covered.
Product
Developers
© Copyright 2024 Log10, Inc. All rights reserved.
Product
Developers
© Copyright 2024 Log10, Inc. All rights reserved.
Product
Developers
© Copyright 2024 Log10, Inc. All rights reserved.
Product
Developers
© Copyright 2024 Log10, Inc. All rights reserved.