Why Bridge Exists
A message from the founder on why we are building the synthesis layer for communications analytics.
1. The problem I saw firsthand
It started at Brigham Young University. When I ran the BYU PR Intelligence Lab, we noticed a recurring pattern: local and regional PR agencies were hiring our student firm for analytics. They didn't want us to set up monitoring tools — they already paid thousands of dollars for subscriptions to Muck Rack, Meltwater, and Cision.
Instead, they hired us to read the reports from those tools, reconcile the conflicting metrics, and write summaries that their clients could actually understand. Even at student rates, they paid us consistently. That was the first clear signal: agencies were willing to pay for synthesis because they lacked the specialized team members or time to do it themselves.
2. What I learned
Through running that manual service, I learned that the primary bottleneck in PR reporting isn't data retrieval. The tools are excellent at capturing mentions, compiling reach metrics, and generating charts.
The bottleneck is context. When Muck Rack claims a campaign reached 10M people, but Meltwater reports 8M with different sentiment scores, someone has to reconcile that discrepancy and explain what the client's actual coverage shift means. Insight synthesis is a massive operational gap. Small to medium-sized agencies (5–30 employees) can't afford dedicated data science teams, so junior account managers end up spending valuable billable hours copying data into Excel sheets.
3. Why now?
For a long time, automating this synthesis was technically impractical. It required custom statistical pipelines and complex natural language processing models.
Now, LLMs and modern vector databases make it possible to automate the intelligence layer we used to build manually. What took my student team hours of reading, cross-referencing, and drafting can now be completed in seconds. The problem hasn't changed; the tools to solve it at scale are finally here.
4. Where Bridge is headed
We aren't building this in a vacuum. Bridge is built in direct collaboration with the PR agency owners who feel this pain every single week. Our first cohort of design partners is helping us refine the data normalization engines and template builders to ensure our outputs match the exact standards clients expect.
Our goal is simple: eliminate the Excel copy-paste step so your team can focus on relationships and strategy, not manual reporting.
Founder Background & Track Record
BYU PR Intelligence Lab — Student Firm Director
Origin of Bridge. Ran the manual version of this service. Agencies paid student rates because they couldn't afford to staff this capability internally.
Smarty — Customer Success Manager
B2B SaaS execution. Managed a $3.82M ARR territory, learning how enterprise clients and agencies buy, adopt, and retain software.
Veracity Enterprises — Data Analyst
Data-driven communications work at scale. Analyzed 330K+ voter records to extract actionable signaling trends.
Partner with us.
If you run a 5–30 person PR agency and want to shape our integrations, join our waitlist today.