Complete AI Training
Sign inGet my AI kit

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

AI news ·

Insurtech Pace raises $46 million in Series B round led by Thrive Capital and Sequoia

Pace closed a $46 million Series B led by Thrive Capital and Sequoia for its AI insurance operations platform. The company automates back-office workflows like claims and underwriting that most carriers still handle manually.

Pace raises $46 million for AI operations insurance platform

Pace, an AI operations insurtech, closed a $46 million Series B funding round led by Thrive Capital and Sequoia Capital. The company builds software that uses AI to automate insurance operations workflows.

The funding signals investor confidence in AI applications within insurance operations-an area where manual processes still dominate many carriers' back offices.

What this means for operations teams

Insurance operations professionals face mounting pressure to process claims, underwrite policies, and manage compliance faster while controlling costs. Pace targets this gap by automating repetitive tasks that typically require human review.

For operations managers evaluating AI tools, the funding validates that the insurtech sector is moving beyond pilot projects. Companies with Series B backing from top-tier firms typically have customers and proven product-market fit.

Building AI skills in operations

Operations professionals should understand how AI Agents & Automation work in practice. These systems can handle workflows differently than traditional software, requiring different implementation approaches.

Learning AI for Operations helps teams evaluate which processes benefit most from automation and how to measure results.

The Series B round follows broader industry trends: insurance carriers are investing in operational AI to compete with pure-play digital competitors and reduce processing backlogs that frustrate customers.

Share