What does cheese steak and long term care have in common? That's right! ILTCI! #ILTCI #insuretech #claims #longtermcare
Friendly
保险业
San Francisco,CA 8,643 位关注者
The most accurate solution for APS transformation and claim auto-adjudication
关于我们
- 网站
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https://www.friendlycares.com/
Friendly的外部链接
- 所属行业
- 保险业
- 规模
- 11-50 人
- 总部
- San Francisco,CA
- 类型
- 私人持股
- 创立
- 2019
- 领域
- Machine Learning、Medical Form Processing、Artificial Intelligence、Workflow Automation、Supplemental Benefits、Insurtech、Deep Learning、Medical Data Summarization、Reinsurance Treaties、Claim Auto-Adjudication和Underwriting Automation
地点
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主要
201 Sansome st
Suite 603
US,CA,San Francisco,94104
Friendly员工
动态
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We’re thrilled to introduce Friendly’s monthly newsletter, crafted by our Founder and CEO, Natasha Alexeeva! This project is designed to empower the decision-makers shaping the future of insurance and insurtech. It’s Natasha’s labor of love, supported by the entire Friendly team. Through this initiative, Natasha aims to connect with the incredible professionals she’s met and give back to the community she values so deeply. Each edition is your go-to source for fresh insights, bold ideas, and actionable takeaways to help leaders stay ahead in this fast-evolving industry. ?? Here’s what’s in the debut issue: ?? Hot takes on how #AI is transforming #underwriting ?? Thoughts on a new study about alcohol consumption and its implications for the industry ?? Spotlight: Kevin Smith, AALU CLU FLMI, former Chief Underwriter at Liberty Life of Boston and Friendly advisor, and his game-changing contributions to underwriting innovation ?? Countdown to MUD 2025 kicking off in New York on January 26 Speaking of MUD: if you’re attending, don’t forget to stop by our booth! Meet Natasha, Kevin, and Mike Pado in person, check out our latest solutions, and chat over a coffee. Feel free to reach out and set up a time — we’d love to connect! ?? Don’t miss out on future editions. Follow our page or subscribe using the link in the comments section to stay in the loop.
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If you are attending SEHOUA this week, please stop by Natasha's session to learn more about challenges and opportunities of AI in underwriting. Also, please say hi and learn more about Friendly and how our Digital Summarization solution can help you! #sehoua2024 #insuretech #lifeunderwriting
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Come see Friendly at SEHOUA! Our CEO Natasha Alexeeva is excited to share her thoughts on AI and the opportunities and challenges it poses for Underwriters. #insuretech #sehoua #underwriting
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Friendly转发了
If you are at Insuretech Insights, stop by, say hi, be Friendly! Lisa Smith Jackie Morales Leon P. #ITI2024 #ITIUSA2024 #InsurtechInsights #Insurance #Insurtech #LifeInsurance #Innovation
Our CEO Natasha Alexeeva will be speaking at the upcoming InsureTech Insights meeting in New York on Thursday, June 6. Please join her and the panel - it will be an informative session!! #insuretechinsights2024
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If you are at Insuretech Insights, stop by, say hi, be Friendly! Lisa Smith Jackie Morales Leon P. #ITI2024 #ITIUSA2024 #InsurtechInsights #Insurance #Insurtech #LifeInsurance #Innovation
Our CEO Natasha Alexeeva will be speaking at the upcoming InsureTech Insights meeting in New York on Thursday, June 6. Please join her and the panel - it will be an informative session!! #insuretechinsights2024
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Our CEO Natasha Alexeeva will be speaking at the upcoming InsureTech Insights meeting in New York on Thursday, June 6. Please join her and the panel - it will be an informative session!! #insuretechinsights2024
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Friendly转发了
Great first day at #AHOU2024 Thank You everyone who stopped by to learn about the right way to do AI in Underwriting and new features such as financial data summarization, impairment specific summaries, and very granular data extraction which is the only way to enable underwriting rules engines. Natasha Alexeeva Mike Choate
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Great first day at #AHOU2024 Thank You everyone who stopped by to learn about the right way to do AI in Underwriting and new features such as financial data summarization, impairment specific summaries, and very granular data extraction which is the only way to enable underwriting rules engines. Natasha Alexeeva Mike Choate
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