Value creation
When data connects to financial markets,
a company’s value changes
RenaAi builds alternative data with its own methodology and connects it to global financial markets. This page covers the last step of that process: how connected data changes a company’s operating profit and valuation multiple.
This is not a separately sold consulting product. It is what happens when the analytics and AI execution capabilities we built working with market-area, equity and patent data are applied to an individual company.
What RenaAi does, and where this page fits
- Build
- Market-area · equity · patent alternative data
- Validate
- Patent applications filed · paper submitted · out-of-sample validation
- Connect to markets
- Rating agencies · lenders · asset managers
- Outcome (this page)
- Higher operating profit · valuation multiple
Data partnership and supply is our main channel; the valuation check is a secondary one.
The math
Enterprise value is the product of two numbers
Worked example
ExampleBefore AI
Operating profit
Multiple
Enterprise value
After AI
Operating profit ↑
Multiple ↑
Enterprise value
Starting from a traditional-industry multiple and a people-dependent structure
+$66M · +111%How to raise operating profit (EBITDA)
- AI automation of repetitive work → lower costs
- 3–5× throughput with the same staff → revenue↑
- AI features offered as subscriptions (ARR) → new revenue
- AI verification → fewer errors and less rework
How to raise the valuation multiple
- AI built in → re-rated as a tech company
- Less reliance on people → lower acquisition risk → premium
- ARR structure → predictable revenue → multiple↑
- Early lead in industry data → competitive moat
Compared with private equity
Same goal as private equity, different inputs
How it works
Four steps from analysis to execution
1
Competitor analysis
We use AI to collect and compare large volumes of public data on competitors and the market, and identify strengths, weaknesses and open gaps.
2
Strategy research
We research positioning, search keywords and hidden demand to decide where value can be raised.
3
Action plan
We turn what to change, when and how into an execution plan.
4
Execution
We do not stop at handing over a plan. We build the tools needed ourselves, deploy them and run them.
Case study
The four steps applied at Yonsei Pyeonhan Rehabilitation Medicine Clinic
- 1
Competitor analysis
AI-based comparison of local competing clinics (pain medicine, orthopedics, etc.): websites, Naver Place listings and advertising strategies
- 2
Strategy research
Positioning defined as rehabilitation medicine → a non-surgical specialty center · persona built for Dr. Jin-oh Hong
- 3
Action plan
Concrete deliverables designed, including a dedicated AI Agent for Dr. Jin-oh Hong (automated blog writing) and a full website overhaul with improved UX
- 4
Execution
The AI Agent and redesigned website built, deployed and in operation
Change confirmed so far
205 → 848
~4x · Naver Blog visitor analytics
Posts revised: about 87 of 874 (10%)
Right now, views (exposure) have increased. Whether this carries through to patient inflow, revenue and value will be checked in the next stage.
Try it yourself
Run the numbers for your company
Your company today
AI adoption targets
Enterprise value (EV) result
$59.7M
EBITDA $7.5M × 8×
$116M
EBITDA $9.0M × 13×
Get exact figures in the free valuation check.
For an exact assessment, see the free valuation check, run personally by our CEO, a former fund manager.
KRW amounts converted at ₩1,340 = US$1 (October 2026).
Contact
How much could your company’s value change?
We will run the approach under way at Yonsei Pyeonhan on your company’s actual data. Our CEO, a former fund manager, personally runs the before-and-after AI valuation check, free of charge.
We respond within 24 hours · no sales calls