Fuse International launches Radar: AI market intelligence for commercial and specialty insurance
Fuse International, Inc. has launched Radar, an AI-powered market intelligence platform built to help brokers, carriers, and MGAs make faster, sharper decisions. It turns scattered market signals into clear, real-time insight-so teams spend less time researching and more time placing business.
The problem Radar fixes
Experienced brokers and underwriters still lose hours to market research because tools haven't kept pace with their judgment. Brokers lack current visibility into shifting carrier appetites. Carriers struggle to find brokers who concentrate in the risks they want to grow. Directories go stale. Phone trees don't scale.
How Radar works
Radar runs a suite of specialised AI agents that continuously collect and enrich data from 50+ sources, consolidating everything into Fuse's proprietary intelligence layer in real time. The platform tracks 20 million data points across 5,000+ carriers, MGAs, and brokers, surfacing insights traditional directories, spreadsheets, or general-purpose AI miss.
- State insurance department filings in all 50 states (NAIC state departments)
- Carrier appetite guides and producer appointments
- Premium volume reports and syndicate results
- Company financials and personnel movements
- Industry news and other market signals
Fuse's Forecast Engine analyses each data point through nine analytical lenses, including conviction, momentum, market cycle, concentration, and contrarian signals. Instead of static rankings, you get continuously refreshed insight that reflects how the market is actually moving.
What brokers get
- Instant visibility into carriers actively expanding in a client's specific risk profile.
- AI-ranked market recommendations within seconds, reducing back-and-forth and dead ends.
- Early reads on concentration shifts, competitive changes, and emerging opportunities.
What carriers and MGAs get
- Identification of brokers who specialise by line, class, and geography-matched to growth goals.
- Faster distribution alignment with partners who can deliver the exact business you want.
- Signals on market momentum and pockets of opportunity before they're widely visible.
Why this is different
Radar doesn't ask carriers to update profiles. Its AI agents infer appetite and intent from filings, premium flows, loss ratios, personnel changes, and dozens of corroborating signals-cross-referenced across thousands of market participants and updated continuously. The result: a current, unified view that moves at the speed of your pipeline.
Sean Bourgeois, Founder & CEO, said: "For decades, the answer to 'who writes this risk?' has been the same: pick up the phone, work your network, check a directory that's already out of date. That approach doesn't scale. It doesn't tell you who's actually growing in a segment, who's pulling back, or where the market is about to shift."
"Radar is different because the dataset underneath it is different. Our proprietary AI agents compute appetite from regulatory filings, premium flows, loss ratios, personnel moves, and dozens of other signals-cross-referenced across 5,000+ carriers and updated continuously. Then our Forecast Engine analyses every result through nine proprietary analytical lenses-momentum, conviction, market cycle, concentration, contrarian signals. These are AI-generated insights that simply don't exist anywhere else."
How insurance teams can use Radar this quarter
- Brokers: For a complex property or specialty submission, run Radar to see which carriers are actively expanding in that exact profile. Prioritise outreach based on momentum and concentration signals to improve hit ratios.
- Carriers/MGAs: Filter for brokers with demonstrated production in your target class and geography. Use appetite alignment and momentum to focus appointments and producer development.
- Distribution leaders: Track shifts in competitor growth by segment. Rebalance broker panels ahead of cycle changes flagged by the Forecast Engine.
- Product teams: Validate early demand signals for new programs by mapping real broker activity and carrier movement in adjacent classes.
Bottom line
Radar turns market noise into signal. Brokers find the right market in seconds. Carriers find the brokers who can deliver the business they want. If you're building advantage in commercial or specialty lines, this is the kind of data layer that compounds over time.
Want to go deeper on how AI is being applied across underwriting, appetite discovery, and distribution? Explore AI for Insurance.
Your membership also unlocks:
