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Alex Haar, Co-founder & Chief Product Officer: Parsyl: Keeping it cool with a fresh $20m (338)

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Manage episode 461868320 series 3351714
Content provided by InsTech. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by InsTech or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

How is technology redefining supply chain insurance and resilience in a changing world?

Parsyl is combining innovation, data and ambition to transform the way essential supply chains are insured. Robin Merttens speaks with Alex Haar, Co-founder and Chief Product Officer at Parsyl, about the company’s impressive growth, their $20M Series C funding and the advanced technologies powering their solutions. From leveraging AI and IoT to expanding into non-perishable cargo, Parsyl is building a future where insurers and businesses can better predict, price and mitigate risks across global supply chains.

Key Talking Points:

  • From tech startup to global supply chain insurer – Parsyl’s journey
  • $20M Series C funding led by Lightsmith Group – what it means for Parsyl
  • Essential supply chains – focusing on food, life sciences, and renewable technologies
  • The role of AI – predictive models and generative AI powering underwriting
  • IoT in action – real-time data for monitoring and managing risks
  • Data partnerships – leveraging Lineage and other innovative sources
  • The underwriter’s role – blending expertise with cutting-edge tools
  • Preparing for the future – expanding in the U.S. and launching new products
  • Resilience to climate change – Parsyl’s mission to protect critical supply chains

If you like what you’re hearing, please leave us a review on whichever platform you use or contact Matthew Grant on LinkedIn. You can also contact Alex Haar on LinkedIn to start a conversation!

Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning.

Continuing Professional Development

This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme.

By the end of this podcast, you should be able to meet the following Learning Objectives:

  • Explain how generative AI enhances efficiency in submission processing and underwriting workflows.
  • Define the role of predictive models in improving underwriting accuracy and claims outcomes.
  • Identify the cultural and organisational factors critical to successfully implementing data-driven insurance solutions.

If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 338 page of the InsTech website or email [email protected] to let us know you have listened to this podcast.

To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.

  continue reading

301 episodes

Artwork
iconShare
 
Manage episode 461868320 series 3351714
Content provided by InsTech. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by InsTech or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

How is technology redefining supply chain insurance and resilience in a changing world?

Parsyl is combining innovation, data and ambition to transform the way essential supply chains are insured. Robin Merttens speaks with Alex Haar, Co-founder and Chief Product Officer at Parsyl, about the company’s impressive growth, their $20M Series C funding and the advanced technologies powering their solutions. From leveraging AI and IoT to expanding into non-perishable cargo, Parsyl is building a future where insurers and businesses can better predict, price and mitigate risks across global supply chains.

Key Talking Points:

  • From tech startup to global supply chain insurer – Parsyl’s journey
  • $20M Series C funding led by Lightsmith Group – what it means for Parsyl
  • Essential supply chains – focusing on food, life sciences, and renewable technologies
  • The role of AI – predictive models and generative AI powering underwriting
  • IoT in action – real-time data for monitoring and managing risks
  • Data partnerships – leveraging Lineage and other innovative sources
  • The underwriter’s role – blending expertise with cutting-edge tools
  • Preparing for the future – expanding in the U.S. and launching new products
  • Resilience to climate change – Parsyl’s mission to protect critical supply chains

If you like what you’re hearing, please leave us a review on whichever platform you use or contact Matthew Grant on LinkedIn. You can also contact Alex Haar on LinkedIn to start a conversation!

Sign up to the InsTech newsletter for a fresh view on the world every Wednesday morning.

Continuing Professional Development

This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme.

By the end of this podcast, you should be able to meet the following Learning Objectives:

  • Explain how generative AI enhances efficiency in submission processing and underwriting workflows.
  • Define the role of predictive models in improving underwriting accuracy and claims outcomes.
  • Identify the cultural and organisational factors critical to successfully implementing data-driven insurance solutions.

If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 338 page of the InsTech website or email [email protected] to let us know you have listened to this podcast.

To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.

  continue reading

301 episodes

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