Happy New Year from all of us at Charlee.ai! Reflecting on 2024, we are grateful for our clients' and partners’ trust in our business. Let’s work together to achieve new milestones in 2025. #NewYear #2025 #Ai #Grateful #CharleeAi
Charlee.ai
Data Infrastructure and Analytics
Pleasanton, California 2,239 followers
A.I. based Predictive Analytics for Insurance
About us
Charlee.ai is a technology company providing artificial intelligence and predictive analytics solutions for Insurance industry. Our solutions help insurance companies reduce claims litigation and severity while managing reserves efficiently.
- Website
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https://charlee.ai
External link for Charlee.ai
- Industry
- Data Infrastructure and Analytics
- Company size
- 11-50 employees
- Headquarters
- Pleasanton, California
- Type
- Privately Held
- Founded
- 2016
- Specialties
- Insurance Industry thought leadership, Data science, Predictive Modeling, Artificial Intelligence, Claims Fraud, Predictive Analytics, Litigation prediction, Sentiment Analysis, Machine Learning, NLP, Text Analysis, Link Analysis, bot, claims assistant, underwriting, patterns, insights, insights engine, claims analytics, semantic search, claims, risk management, litigation management, severity management, cyber, severity management, insights engine, ontologies, and insurtech
Locations
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Primary
4900 Hopyard Rd
Suite 100
Pleasanton, California 94588, US
Employees at Charlee.ai
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Sri Ramaswamy
Founder & Patent holder - NLP/AI, Claims LLM | Charlee.ai
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John Standish
Co-Founder, Chief Innovation and Compliance Officer at Charlee.ai with expertise in Government Liaison
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Dave Guild
Helping Claims Teams Unleash The Power of AI and Their Data To Manage and Optimize Claim Outcomes
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PATIENCE LUMALA LINYULU
QA Analyst at Charlee.ai
Updates
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Insurance and trust are fundamentally interwoven, and ensuring fairness and transparency in using AI platforms is a corporate responsibility that must always be adhered to. Charlee™ has developed techniques and standards to ensure buyers’ trust and monitor the bias that may creep in anywhere during the AI intervention cycle. The platform’s build and maintain process follows these non-negotiable steps: ● Be mindful of what goes into building the AI’s Large Language Models ● Consistently test the outputs for bias ● Continuously review the results with experts ● Provide the language model with guard rails or checks based on inferences #Bias #Output #LLM #AI #CharleeAi
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“Reconfiguring the approach to claims management is the new way forward’, says Claims Director Brad Metzger. While “react and respond” actions are gradually moving into “predict and prevent” strategies for most P&C insurers, additional insights must be factored in when considering technology models to manage and mitigate risks. One is the collaboration across different departments by sharing data insights, allowing underwriters to learn from claims in real-time or near real-time, actuaries to use the knowledge for self-learning, and managers to make more impactful business decisions. Read more of it here: https://zurl.co/3inoA #Mitigate #Manage #Predict #Prevent #CharleeAi
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As the holiday season approaches, we reflect on the past year and those who have helped shape our business. It’s been quite a year for us all! We hope this year has been as memorable for you, your colleagues, and your loved ones. Happy Holidays from everyone at Charlee.ai. #Happy #Holidays #CharleeAi
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In insurance, quality is over quantity every time. The quality of decisions and the time it takes insurers to make them, especially in critical tasks like assessing risks, detecting fraud, or managing litigation, is more important than the quantitative period of managing the claims cycle times. Accurate and precise analytics extracted from unstructured data by NLP-led AI platforms governed and built within insurance compliance boundaries and led by domain experts can only lead to quality, future-led decision-making. #Quality #Decisions #Claims #Ai #CharleeAi
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Every business has data, but only some know how to use it optimally! Data is a vast resource, yet insurers must channel relevant insights to maximize its potential for their business. With many gigabytes of data generated every hour, including claimants' notes to driving history, attorney notes, police reports, and other sensitive information, the available data must be processed with the right InsureTech tools. To prevent misuse and unlawful use, these tools must be safe, secure, and bound by ethical and compliance considerations. Charlee’s analytical AI platform, pre-built on 55M+ claims with customized KPIs that seamlessly integrate with your business, is what your business needs. #Insuretech #Data #Ai #KPI #CharleeAi
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Claims processing is an insurer’s most significant expenditure: money, time, and energy. A simple AI-led analytics approach to a critical task like claims management can lower loss-adjusting expenses by 20-25% and reduce leakages by 30-50% (Bain and Company). This intervention will help manage the entire claims cycle efficiently and streamline workflows, address challenges at each cycle stage intelligently, and ensure insurers adopt fresh sensibilities while tackling long-standing problems. An NLP-led engine is the answer if you are challenged by making quick decisions about litigation and risks! #NLP #Claims #Insurers #Litigation #CharleeAI
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What can Charlee™ do that generic generative AI models cannot? Built on a specialized framework and trained on 55M+ claims, Charlee™ has been built by domain experts, insurance SMEs, and experienced people defined by regulatory standards with compliance at its core, and delving deep into all kinds of data to give precise, actionable real-time insights that help carriers be better prepared all the time. From managing risks and reserves to overseeing end-to-end claims and avoiding litigation, the AI engine is built and tailored to the insurance domain, unlike generic models that can be applied anywhere. #Claims #Litigation #Ai #Insurance #CharleeAi
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Lately, insureds have had to pay ever-increasing insurance rates, primarily due to unforeseen and escalating weather conditions. This has resulted in policy non-renewals and stoppages, which are detrimental. While insurers are under pressure to increase rates due to escalating costs, a different approach involves using AI-led predictive analytics to create tailored pricing strategies. These strategies can consider factors such as geographical areas, historical data insights, and changing customer demographics to design insurance premiums that benefit all parties. #Insurance #Rates #AI #Analytics #CharleeAi
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Early intervention in claims is like the honeymoon phase of a relationship—it sets the tone for everything that follows. 🥂 Starting from the First Notice of Loss (FNOL), identifying critical data points early can make all the difference in avoiding messy breakups (litigations) and escalating arguments (attorneys involvement). By analyzing patterns and trends, platforms leveraging InsurTech provide insights that feel like having a crystal ball—predicting outcomes months in advance and helping you understand behavior like a seasoned therapist. 🧠✨ InsureTech is reshaping how we manage claims, predict outcomes, and build better processes. Are you ready to join the Insurance AI revolution? #InsurTech #AI #Insurance #ClaimsManagement #Patterns #Trends #Innovation