The result
One growth-stage HealthTech company moved from a funding offer of about $30 million to a closed round at about $60 million in a few months.
It acted on our diagnostic itself. The company improved its margins without growing its team, client count, or revenue.
What the diagnostic found
We reviewed five Series B and C HealthTech companies. AI costs sat across cloud bills, tooling, infrastructure, and multiple teams, so no one line showed the full picture.
Across the cohort, we identified a median of about $166,300 per month in preventable AI operating costs per company, roughly $2 million a year.
Our role
We carried out read-only diagnostics, brought the costs together, and gave each company a recommendation with the supporting analysis. The work included about three days embedded at each company and more than 600 audit hours across the cohort project.
We built no system for this cohort. The company behind the valuation result implemented changes itself after seeing the findings.
What changed
The company’s gross margin rose from 52% to 76%. Cloud and AI spending fell from about 36% of revenue to a little over 10%.
Its CTO reported no drop in output quality. With stronger margins, the company closed its next round at about $60 million.
The valuation result belongs to this one company. The operating-cost figures describe the five-company cohort.
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