This week, General Magic announced a $7.2 million seed funding round led by Radical Ventures, with participation from a16z Speedrun and new investment from Figma VP of Product Brendan O’Driscoll and Larry James Erwin from OpenAI. The company has raised $8.4 million to date, backed by Radical Ventures, a16z Speedrun, and Comma Capital. Participaing individuals include Aidan Gomez, CEO of Cohere, and Braze executives CPO Kevin Wang, and SVP Spencer Burke,.
General Magic builds AI agents that take over answering routine questions, collecting documents, and following up with customers. These agents work across the full insurance lifecycle, covering pre-quote eligibility, post quote engagement, and claims coordination. They do all of this while connecting directly to broker management systems, quoting platforms, and CRMs.
Early deployments show what’s possible. Working with one of the world’s largest general insurers, General Magic has reduced time-to-quote from roughly 30 minutes down to under 3 minutes via its SMS-based agent.
“Too much of insurance still relies on manual follow through across calls, inboxes, and scattered systems,” said Jai Mansukhani, co founder and president of General Magic. “We focus on keeping customers engaged at every stage of the lifecycle, not just at quote or claim. Our agents handle the routine work that slows teams down, while giving insurance leaders real visibility into what customers are asking, where they are getting stuck, and how they are feeling. When that engagement and data flow directly into core systems, teams move faster and customers feel genuinely supported.”
The company’s agentic offerings are centered around Cell, a proactive AI agent that connects directly to existing systems. Cell integrates with broker management systems, quoting and rating platforms and CRMs to support teams. It can be deployed across SMS, iMessage and RCS, and can extend into policy, billing and claims workflows.
When a customer has a question, they can text Cell over SMS, or the insurance team can proactively deploy it to the customer. The agent responds using real system data, asks for missing information, follows up automatically, and updates records as workflows progress. Conversations stay in one thread, context is preserved, and customers move forward at their own pace without being chased or dropped.
In parallel, the team is focused on building agents that understand the realities of insurance distribution, including licensing and regulatory frameworks such as RIBO, OTL, and other broker and advisor exams.
General Magic was founded by Anthony Azrak and Mansukhani, second-time founders who previously sold AI products into legacy industries. The company’s move into insurance came from firsthand frustration. After a water leak spiraled into weeks of calls, delays, and higher premiums, the founders began exploring how common this experience really was. What they found was an industry that technically works, but often fails customers and intermediaries in the moments that matter most.
Retention rates in insurance lag behind other sectors, and acquiring new customers costs significantly more than keeping existing ones. As digital distribution accelerates and customers shop more aggressively at renewal, both carriers and brokers that fail to improve post-quote engagement risk losing revenue they already worked to win.
Looking ahead, General Magic plans to expand across insurance lines and workflows. The long -term vision is to make follow through automatic, reliable, and invisible. By removing the need for manual chasing and fragmented handoffs, teams can spend less time managing processes and more time serving end customers.
“Most of the world’s financial and insurance data is locked inside rigid, legacy systems that were never designed for the AI era,” Radical Ventures partner Sanjana Basu said. “General Magic isn’t trying to convince enterprises to throw away that infrastructure. Instead, they are giving them a way to finally talk to it.
“By building a reasoning layer that sits on top of existing systems of record, the General Magic team are unlocking a massive amount of trapped value. This is how the Fortune 500 becomes AI-native, not by rebuilding from scratch, but by bridging the gap between old data and new intelligence.”