help me answer this question: How do or will you make money? How much could you make? (We realize you can't know precisely, but give your best estimate) for my startup. My startup is basically a clinical decision support system whose name is Orris And I basically want to just show that what's my path to get to $100 million ARR, and how will I achieve that. So basically, the thing is that the way we calculate it is by replacing the labor, like reducing the cognitive workload with AI. So for example, if I am able to automate like 30% of the doctor's cognitive workload, then the current doctor's market is, let's suppose, X, then X percentage of X will be basically our market value. I will also give you one transcript, and based on that, please draft a good answer to this. refer the attachement which is a transcript of a youtube video which explains how market size should be calculated. read the whole transcript dont skip anything and then give me a short answer
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I've read the full transcript. Now I have everything I need — the Sequoia framework, the image showing physician/nurse TAMs, and your startup concept. Here's the answer:
How Orris Makes Money — And the Path to $100M ARR
The Business Model
Orris charges hospitals, health systems, and clinics a per-seat or per-provider SaaS subscription for AI-powered clinical decision support. We automate a portion of physicians' cognitive workload — differential diagnosis, documentation, order review, drug interactions — so clinicians can see more patients with less mental overhead. We charge for the value we create: time saved × labor cost per hour.
How We Calculate the Market (The Sequoia Way)
The Sequoia framework — as shown in their internal memo — multiplies number of employees × median annual wage to derive a TAM of wages. That number represents the total labor value addressable by AI automation. From the slide in their presentation:
| Role | # Employees (000s) | Median Wage | TAM of Wages |
|---|---|---|---|
| Registered Nurses | 3,300K | $86,070 | $284B |
| Medical & Health Services Managers | 563K | $110,680 | $62B |
| Nurse Practitioners | 293K | $126,260 | $37B |
| Medical Assistants | 784K | $42,000 | $33B |
Physicians (not shown above) add another ~$350B+ in wages (roughly 1M doctors × ~$220K median compensation in the US alone).
Total US clinical labor TAM: ~$750B–$800B.
Orris's Addressable Slice
Sequoia's model says: AI doesn't replace the worker — it automates a fraction of their cognitive output. We apply the same logic:
If Orris automates 30% of physician cognitive workload, and physicians represent a ~$350B wage TAM, then:Orris's value creation = 30% × $350B = ~$105B
What can we capture as revenue? SaaS tools typically price at 5–15% of the value they create (that's the standard enterprise software value-capture rate). At 10%:
Orris's addressable revenue opportunity = 10% × $105B = ~$10.5B
That is the realistic US market ceiling — a $10B+ ARR opportunity at full penetration.
The Path to $100M ARR
$100M ARR is ~1% of our addressable market. Here's how we get there:
| Stage | Milestone | ARR |
|---|---|---|
| Year 1–2 | 50 health systems, ~500 physicians/system, $2K/seat/year | ~$50M |
| Year 3 | Double penetration + expand to NPs, PAs, hospitalists | ~$100M |
| Year 4+ | International expansion, add-on modules (documentation, coding, prior auth) | $250M+ |
At $2,000/provider/year (conservative for a tool that saves 1–2 hours/day), you only need 50,000 active physician seats to hit $100M ARR. There are over 1 million active physicians in the US — so $100M ARR requires capturing just 5% of US physicians.
Why This Is the Right Frame
The Sequoia thesis is precise: the $10 trillion US services market is priced in labor. AI startups that automate cognitive work aren't just selling software — they're selling back time. Orris sits in the highest-wage, highest-volume, most cognitively demanding services sector in the economy. The TAM isn't theoretical — it's the payroll line of every hospital system in the country.
Registered nurses alone represent a $284B TAM of wages. Physicians add another ~$350B. Orris targets the cognitive core of both. That's a $600B+ labor TAM — and capturing even 1–2% of it as SaaS revenue gets you well past $100M ARR.
One-line summary for investors:
"We price at a fraction of the labor we displace. Automating 30% of physician cognitive work in a $350B physician wage market gives us a ~$10B revenue opportunity. $100M ARR requires just 5% of US physicians — we don't need to win the whole market to build a very large company."
give me this in .txt format and not more than 5-6 lines
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orris revenue answer
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Here's the 6-line version:
Orris charges hospitals and clinics a per-provider SaaS subscription for AI-powered clinical decision support. Using the Sequoia framework — TAM = number of workers × median wage — US physicians represent a ~$350B labor TAM. If Orris automates 30% of physician cognitive workload, we create ~$105B in value; capturing 10% of that as SaaS revenue puts our ceiling at ~$10B ARR. $100M ARR requires just 50,000 physician seats at $2,000/seat/year — roughly 5% of US physicians. We don't need to win the whole market: even modest penetration into the highest-wage, most cognitively demanding sector in the economy gets us there. The TAM isn't theoretical — it's the payroll line of every hospital in the country.
look orris is a b2c model but i dont want to mention b2b or b2c and dont write sequoia or anything. try to keep things generic and follow top down approach
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orris revenue answer v2
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The US physician workforce represents a ~$350B annual labor market. If Orris automates 30% of a physician's cognitive workload, we address ~$105B in value — and capturing even 10% of that as subscription revenue puts our ceiling above $10B ARR. At a conservative $2,000/physician/year, reaching $100M ARR requires just 50,000 active users — roughly 5% of US physicians. Orris charges physicians a monthly subscription to access AI-powered clinical decision support directly, meaning revenue scales with every individual who adopts the product. We don't need to dominate the market to build a very large company — we just need to be the tool every clinician opens before making a decision.
instead of $2000 i just want to write $200 and make adjustments at some other places
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orris revenue answer v3
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The US physician workforce represents a ~$350B annual labor market. If Orris automates 30% of a physician's cognitive workload, we address ~$105B in value — and capturing even a fraction of that as subscription revenue points to a multi-billion dollar ceiling. At $200/physician/year, reaching $100M ARR requires 500,000 active users — and with over 1 million physicians in the US alone, expanding to nurses, PAs, and other clinicians globally makes this a highly reachable milestone. Orris charges clinicians a monthly subscription to access AI-powered clinical decision support directly, meaning revenue scales with every individual who adopts the product. The addressable user base is massive, the price point is accessible, and we just need to be the tool every clinician opens before making a decision.
Key adjustments made: dropped the "5% of physicians" framing (which no longer holds at $200), reframed 500K users as achievable by pointing to the broader clinician universe (physicians + nurses + PAs globally), and emphasized the low price point as a growth driver rather than a limitation.
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