Rosella raises AUD $3.7 million to build AI-powered commercial insurance brokerage

Sydney startup Rosella has raised AUD $3.7 million to automate commercial insurance brokerage, handling submissions across 100+ carrier portals. The pre-seed round was led by Peak XV Partners and Intact Private Capital.

Categorized in: AI News Insurance
Published on: Apr 03, 2026
Rosella raises AUD $3.7 million to build AI-powered commercial insurance brokerage

Sydney startup Rosella raises AUD $3.7 million for AI-powered insurance brokerage

Rosella has closed a pre-seed funding round of AUD $3.7 million led by Peak XV Partners and Intact Private Capital. The Sydney- and Austin-based startup is building software to automate the manual work that still dominates commercial insurance brokerage.

The platform submits client information across more than 100 carrier portals, compares policies, identifies coverage gaps, and supports brokers during client conversations. Rosella targets small and mid-market businesses in construction, manufacturing, and logistics - sectors where insurance needs are complex and service quality varies.

The problem: fragmented systems and repetitive work

Commercial insurance brokerage relies heavily on manual processes spread across fragmented systems and carrier-specific formats. Brokers enter the same client information into multiple insurer portals repeatedly, a task that slows responses and adds to workload.

Rosella says its software handles submissions across more than 100 portals, cutting a major source of repetitive work. The platform also generates certificates of insurance in under two minutes, down from 30 minutes, and reads policy documents to flag exclusions or coverage gaps that might otherwise take longer to spot.

Service model, not software licensing

Rosella positions itself as a brokerage with its own technology stack rather than selling software alone. The model keeps brokers focused on sales, client relationships, and underwriting judgment while software handles routine administrative tasks.

Co-founder Sean Stuart said the shift reflects a broader trend. "Software as a product is stalling. Services are booming," he said. "The next $100 billion company will not sell software licenses. It will sell a service powered by software, built specifically for the people doing the work."

Stuart emphasized that the opportunity lies in navigating fragmented carrier systems. "The holy grail is not chatbots. It is browser agents that can navigate a hundred carrier portals, each one different, each one changing daily."

Market conditions favor the approach

Rosella targets the U.S. commercial insurance market, estimated at USD $215 billion. The company points to growing risk complexity: nuclear verdicts exceeded USD $31 billion in 2024, while the excess and surplus market has expanded as standard carriers pull back from higher-risk categories.

Larger clients typically receive more attention because they generate higher revenue. Smaller businesses often face slower service despite having specialized insurance needs. Rosella argues that lower operating costs allow it to serve those customers consistently and profitably.

"For the first time, every business in America can get the quality of brokerage service that used to be reserved for Fortune 500 companies," Stuart said.

Learning from workflow data

Rosella's platform learns from interactions across the brokerage process - quotes, acceptances, and rejections. The company argues this feedback loop improves pricing accuracy and recommendations over time while capturing information scattered across documents, emails, and individual brokers.

Stuart described the role of AI agents and automation differently than common framing. "Everyone asks how AI replaces workers. We ask how it makes them extraordinary. Our AI turns a one-year rep into a ten-year veteran."

Rosella was founded by Stuart and Chris Dwyer, who met at university nearly a decade ago. Stuart previously worked as a venture capitalist focused on AI and software. Dwyer was a founding engineer at Constantinople and led AI product development teams at Accenture.

For more on how AI is applied in insurance, including claims processing and underwriting, see our coverage of the sector.


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