Picking Domain Verticals for a Venture Studio in 2026
Table of Contents
- Why Domain Verticals Matter Now
- The Shift in Venture Studio Strategy
- The Three Vertical Selection Frameworks
- Domain Patterns That Work in 2026
- Evaluating Your Own Vertical Thesis
- The Cost of Getting Verticals Wrong
- Building Conviction in Your Chosen Verticals
- Execution Playbooks for Each Vertical Type
- Measuring Vertical Success
- Next Steps: Moving from Theory to Traction
Why Domain Verticals Matter Now
Venture studios in 2026 face a choice that their predecessors didn’t: go horizontal and compete on process, or go vertical and compete on domain insight.
The numbers are clear. Horizontal studios—those building across fintech, logistics, SaaS admin, and whatever else comes through the door—are struggling. They’re competing on operational excellence and founder networks, which are table stakes. Vertical studios are shipping faster, raising larger follow-on rounds, and generating more founder-to-founder referrals within their domain.
Why? Because domain verticals compress the time-to-insight. When you’ve built five logistics companies, your sixth one moves 40% faster. You know which workflows matter. You know which integrations will kill you. You know the regulatory landmines. You’ve built relationships with the domain’s key operators, investors, and acquirers.
This isn’t new thinking—Rocket Internet proved the model at scale in e-commerce and logistics. But what’s changed in 2026 is that domain expertise is no longer a nice-to-have. It’s the primary competitive moat. Founders are choosing studios that understand their problem space, not just studios with good process and capital.
At PADISO, we’ve seen this shift play out across our own venture studio engagements. When we work with teams building in a vertical we’ve shipped in before, the cost-per-hire drops, the security audit timeline compresses, and the time-to-first-customer-dollar shrinks by 6–8 weeks. That’s not process improvement. That’s domain leverage.
But picking the right vertical is harder than it looks. You need to balance three competing forces: market size, founder talent density, and your own unfair advantage. Get one wrong, and you’re running a generalist studio with a vertical label.
The Shift in Venture Studio Strategy
Three years ago, the venture studio playbook was simple: hire great operators, build a strong internal process, and let the model work across any domain. Studios like Antler and High Alpha built on this thesis. They raised capital, hired experienced execs, and shipped companies across healthcare, fintech, logistics, and B2B SaaS.
It worked. But it had a ceiling. Each new vertical required founder recruitment, market research, and regulatory learning. Studios competed on speed and capital, not insight. Acquisition multiples stayed flat. Follow-on fundraising was harder because there was no narrative around domain expertise.
Then the market shifted. Founders got smarter. They started asking studios: “Have you built in healthcare before?” “Do you know the MedTech regulatory path?” “Can you introduce me to the key hospital systems?” The studios that could say yes raised better companies and exited faster.
Simultaneously, the cost of hiring domain experts fell. Remote work meant a studio in Sydney could recruit a former fintech CTO from New York or a healthcare operations director from London. Suddenly, building a domain-expert team wasn’t a luxury—it was table stakes.
The third shift was AI and automation. In 2024–2025, every studio was trying to be an AI studio. In 2026, that’s table stakes. The studios winning now are those that can say: “We build AI products in logistics” or “We automate workflows in healthcare” or “We architect agentic AI for insurance claims.” Domain + AI is the combination that’s moving the needle.
When you’re evaluating venture studio verticals, you’re really asking: Where can I build a 3–5 year unfair advantage? Where can I recruit domain experts? Where can I build a portfolio of 10–15 companies that all benefit from the same playbooks, integrations, and customer relationships?
The Three Vertical Selection Frameworks
There are three frameworks that work for picking verticals in 2026. None of them is perfect alone. Use all three.
Framework 1: The Workflow Compression Model
This is the most rigorous. You’re looking for verticals where a single workflow or process loop can be compressed—through automation, AI, or better tooling—to unlock 20%+ cost savings or 30%+ time savings.
Examples:
- Healthcare claims processing: A typical claim takes 15–20 days to adjudicate. If you can compress that to 5 days using agentic AI and workflow automation, you unlock massive value. Payers save money. Providers get paid faster. Everyone wins.
- Legal document review: Law firms spend 40–60% of billable time on document review. If you can cut that in half with AI, you’re looking at $50K–$100K per lawyer per year in recaptured time.
- Financial reconciliation: Mid-market CFOs spend 3–4 weeks per month on reconciliation and reporting. If you can compress that to 1 week, you unlock time for strategy and planning.
The workflow compression model works because it’s defensible. You’re not just building a better tool. You’re solving a specific, measurable problem that every player in that vertical cares about.
To evaluate a vertical using this model:
- Identify the core workflow. What’s the repeatable process that every company in this vertical does?
- Measure the current state. How much time? How much cost? How much manual effort?
- Calculate the upside. If you compress this workflow by 30–50%, what’s the total addressable value?
- Validate with 3–5 domain experts. Talk to operators in that vertical. Do they agree with your numbers? Do they care?
If the workflow is real, the numbers are big, and domain experts validate it, you’ve found a vertical worth exploring.
Framework 2: The Founder Talent Concentration Model
This is the network play. You’re looking for verticals where there’s a high concentration of founder talent—either people leaving big companies, or people who’ve already built in the space and want to build again.
Examples:
- Fintech: Every major bank, investment firm, and payment processor has a revolving door of technical talent. Ex-Stripe engineers, ex-Square PMs, ex-Wise ops leaders. They all want to build fintech again.
- Climate tech: There’s a cohort of engineers and operators who’ve spent 5+ years in climate and want to start a company. They’re concentrated in certain cities (San Francisco, London, Sydney) and certain networks (climate VCs, accelerators).
- Logistics and supply chain: 3PLs, freight forwarders, and warehouse operators are shedding technical talent who want to build better software for the industry.
The founder talent concentration model works because it compresses founder recruitment time. Instead of hunting for founders across all geographies and backgrounds, you’re fishing in a pond where the talent is already concentrated.
To evaluate a vertical using this model:
- Map the talent exodus. Which companies are losing technical talent? Which industries are in transition?
- Identify the networks. Where do these founders hang out? Which accelerators, VCs, or online communities do they belong to?
- Count the potential founders. Can you identify 20–30 potential founders in this vertical within your network?
- Validate the motivation. Do they want to start a company? Or are they happy in their current roles?
If you can identify a cohort of 20+ potential founders who want to build in a vertical, and you have relationships with them, that’s a strong signal.
Framework 3: The Acquirer Concentration Model
This is the exit play. You’re looking for verticals where there are 5–10 clear acquirers, and where M&A is happening at 3–5x revenue multiples (or higher).
Examples:
- Vertical SaaS for healthcare: Major EHR vendors (Epic, Cerner, Athena) are buying bolt-on companies at 4–6x revenue. Hospitals are consolidating and want integrated platforms.
- Supply chain automation: 3PLs and freight forwarders are consolidating. They’re buying software companies to add to their platform. Multiples are 3–5x revenue.
- Fintech infrastructure: Banks and payment processors are buying to build out their platforms. Stripe, Square, and Wise are all acquisitive. Multiples are 5–8x revenue.
The acquirer concentration model works because it gives you a clear exit path. You’re not building for an IPO or hoping for a strategic buyer. You’re building for a known set of acquirers who are actively buying in your space.
To evaluate a vertical using this model:
- List the potential acquirers. Who would buy a successful company in this vertical?
- Research M&A activity. How many acquisitions happened in the last 2 years? At what multiples?
- Assess acquirer appetite. Are these acquirers still actively buying? Or are they slowing down?
- Calculate the upside. If you build a $10M ARR company and sell it at 4x revenue, you’re looking at a $40M exit. Is that big enough?
If you can identify 5+ clear acquirers, and recent M&A activity supports it, you’ve found a vertical with a clear exit path.
Domain Patterns That Work in 2026
Not all verticals are created equal. Some patterns are working better than others in 2026. Here’s what we’re seeing:
Pattern 1: Vertical AI for Regulated Industries
This is the strongest pattern right now. Regulated industries (healthcare, fintech, insurance, legal) have specific compliance requirements that make off-the-shelf AI tools dangerous. But they also have high-value workflows that can be automated.
The opportunity: Build vertical AI products that are pre-built for compliance. Think agentic AI for insurance claims processing, or workflow automation for healthcare prior authorisation.
Why it works:
- High barrier to entry (regulatory knowledge required)
- High switching costs (integration with existing systems)
- Clear ROI (30–50% cost reduction in core workflows)
- Acquirer concentration (major players in each vertical are actively buying)
Examples of this pattern working:
- Agentic AI in Australian Healthcare: Privacy Act 1988 and My Health Record — We’ve seen healthcare operators in Australia struggling with Privacy Act compliance while trying to deploy AI. The studios and vendors winning are those building AI products that are pre-audited for compliance.
Pattern 2: Platform Re-Platforming and Modernisation
This is the enterprise play. Large companies built on legacy platforms (SAP, Oracle, legacy custom systems) are trying to modernise. They need studios that can architect new platforms, migrate data, and execute without breaking the business.
The opportunity: Become the studio that specialises in re-platforming for a specific industry. Think platform engineering for financial services, or cloud migration for manufacturing.
Why it works:
- High contract values ($500K–$5M per engagement)
- Predictable revenue (long implementation timelines)
- Operator leverage (you’re selling to heads of engineering and CIOs)
- Clear ROI (20–40% cost reduction, faster feature velocity)
Examples of this pattern working:
- The 100-Day Tech Playbook for PE-Owned Companies — PE-owned companies are consolidating and modernising. Studios that can execute a 100-day tech stabilisation plan, then move to a 3-year value-creation roadmap, are winning large contracts.
Pattern 3: Workflow Automation for SMB/Mid-Market Operations
This is the volume play. Smaller companies (10–500 employees) have massive workflow inefficiencies, but they can’t afford custom software. They need studios that can build lightweight automation solutions using modern tools (Zapier, Make, n8n) and AI.
The opportunity: Become the studio that specialises in workflow automation for a specific vertical. Think automation for accounting practices, or operations workflow for logistics companies.
Why it works:
- Faster sales cycles (weeks, not months)
- Lower implementation costs (weeks, not months)
- High volume (many SMBs in each vertical)
- Recurring revenue (ongoing automation improvements and maintenance)
Examples of this pattern working:
- Agentic AI vs Traditional Automation: Which AI Strategy Actually Delivers ROI for Your Startup — We’ve found that SMBs often don’t need full agentic AI. They need smart workflow automation. Studios that can execute this playbook 10–15 times per year in a specific vertical build predictable revenue.
Pattern 4: Fractional CTO and AI Strategy for Founders
This is the founder-facing play. Seed and Series A founders need technical leadership and AI strategy, but they can’t afford a full-time CTO. Studios that can provide fractional CTO services, plus AI strategy and architecture, are winning.
The opportunity: Become the studio that founders in a specific vertical trust for technical leadership and AI decisions. Think fractional CTO for climate tech founders, or AI strategy for healthtech founders.
Why it works:
- High founder concentration (easier to find customers)
- Recurring revenue (ongoing fractional CTO engagement)
- Upsell opportunities (fractional CTO → co-build → platform engineering)
- Network effects (founders refer other founders)
Examples of this pattern working:
- AI Advisory Services Sydney | PADISO — Strategy, Architecture & Delivery — We’ve built this playbook in Sydney. Founders come to us for AI advisory and fractional CTO leadership. Many of them then ask us to co-build or take on platform engineering work.
Evaluating Your Own Vertical Thesis
Now that you understand the frameworks and patterns, here’s how to evaluate whether a vertical is right for your studio.
Step 1: Define Your Unfair Advantage
Before you pick a vertical, ask yourself: What’s my unfair advantage? Why would founders in this vertical choose me over a competitor?
Your unfair advantage might be:
- Domain expertise: You’ve spent 10 years in healthcare. You know the regulatory landscape, the key players, and the workflows.
- Founder network: You have relationships with 20+ founders who want to build in fintech.
- Operator relationships: You know the CTOs and heads of engineering at the major acquirers in this space.
- Execution capability: You’ve shipped 5 companies in this vertical. You have playbooks, templates, and team members who know the domain.
- Geographic advantage: You’re in Sydney, and there’s a concentration of climate tech talent and capital in Australia.
If you can’t articulate a clear unfair advantage, pick a different vertical. You’ll be competing on process and capital, which is a losing game.
Step 2: Validate the Market Size
You need three numbers:
- Total Addressable Market (TAM): How big is this industry? What’s the total revenue at stake?
- Serviceable Addressable Market (SAM): Of that TAM, how much is addressable by software and services?
- Serviceable Obtainable Market (SOM): Of that SAM, how much can you realistically capture in 5 years?
Example: Healthcare claims processing
- TAM: $500B+ (total healthcare spend in developed markets)
- SAM: $100B+ (portion spent on claims processing, adjudication, and payment)
- SOM: $10M–$50M (realistic for a studio building 5–10 companies in this space, capturing 0.01–0.05% of SAM)
If your SOM is less than $10M, the vertical is too small. If it’s more than $100M, you’re probably looking at a market that’s already crowded.
Step 3: Count the Founders
How many potential founders can you recruit in the next 12 months? This is the limiting factor for most studios.
If you can identify and recruit 3–5 founders in the next year, you’re in good shape. If you can only find 1–2, the vertical is too niche or you don’t have enough network.
Here’s how to count:
- Map your network: How many people do you know in this vertical? (Target: 20–30)
- Assess founder potential: Of those, how many have the skills and motivation to start a company? (Target: 5–10)
- Validate motivation: Talk to them. Do they want to start a company in this space? (Target: 3–5 saying yes)
If you can’t find at least 3 potential founders in your network, you need to expand your network or pick a different vertical.
Step 4: Research the Acquirer Landscape
Who would acquire a successful company in this vertical? Here’s what to look for:
- Acquirer count: Are there 5+ potential acquirers? (If less, you’re dependent on one buyer)
- M&A activity: How many acquisitions happened in the last 2 years? (Target: 5–10 per year)
- Acquisition multiples: What multiples are companies being acquired at? (Target: 3–5x revenue for SaaS, higher for strategic fits)
- Acquirer appetite: Are acquirers still actively buying? Or are they pausing?
If you can’t find clear acquirers or recent M&A activity, the vertical might be too nascent or too commoditised.
Step 5: Assess Your Execution Capability
Can you actually build in this vertical? This is where most studios go wrong. They pick a vertical they’re excited about, but they don’t have the team or expertise to execute.
Ask yourself:
- Do you have domain expertise on your team? (Or can you hire it?)
- Do you have relationships with key operators and acquirers?
- Have you shipped anything in this space before? (Or do you have team members who have?)
- Can you build a repeatable playbook? (Or will each company require custom work?)
If you answer no to more than one of these, you’re not ready to go vertical in this space. Either build your team or pick a different vertical.
The Cost of Getting Verticals Wrong
Picking the wrong vertical is expensive. Here’s what we’ve seen:
Cost 1: Slow Founder Recruitment
If you pick a vertical without a clear founder network, you’ll spend 6–12 months recruiting your first founder. That’s 6–12 months of overhead with no revenue.
Example: A studio in Sydney decided to focus on climate tech. They had no climate tech network. They spent 8 months recruiting their first founder. By the time that founder was ready to start, the studio had burned $400K in overhead and was behind on their business plan.
Cost 2: Slow Product Development
If you pick a vertical without domain expertise, each company will take longer to build. You’ll be learning the domain as you build, which adds 20–40% to your timeline.
Example: A studio decided to focus on legal tech. They had no legal background. Their first company took 6 months to build an MVP that a legal-focused studio would have built in 4 months. That’s 2 months of extra runway, extra equity dilution, and a later customer acquisition date.
Cost 3: Weak Acquisition Outcomes
If you pick a vertical without understanding the acquirer landscape, your exits will be suboptimal. You might build a great company, but you’ll sell it for a lower multiple because you don’t have relationships with key acquirers.
Example: A studio built a SaaS product for logistics. They didn’t realise that the major acquirers in logistics were 3PLs and freight forwarders, not venture-backed SaaS companies. When they tried to raise Series B, they struggled because VCs saw the exit path as limited. They eventually sold for 2.5x revenue instead of 4x.
Cost 4: Portfolio Dilution
If you pick a vertical that’s too broad, you’ll end up with a portfolio that looks like a generalist studio. You’ll have one fintech company, one healthcare company, one logistics company, and one B2B SaaS company. That’s not a vertical strategy—that’s a horizontal studio with a vertical label.
Example: A studio said they were focused on “enterprise software.” They built companies in HR tech, finance automation, supply chain, and legal tech. They had no shared playbooks, no shared customer relationships, and no narrative around domain expertise. They looked like a generalist studio, and they competed like one.
Building Conviction in Your Chosen Verticals
Once you’ve picked a vertical (or two), how do you build conviction? How do you know you’ve made the right call?
Here’s the playbook:
Step 1: Ship Your First Company
Don’t spend 12 months in strategy mode. Pick a vertical, recruit your first founder, and ship. You’ll learn more in 6 months of execution than in 12 months of planning.
Your first company will teach you:
- What workflows actually matter
- Which integrations are critical
- What the sales process looks like
- Who the key decision-makers are
- What the regulatory landscape looks like
Step 2: Measure Your Performance Against Benchmarks
Once you’ve shipped your first company, measure:
- Time-to-MVP: How long did it take? (Benchmark: 8–12 weeks for a well-executed vertical play)
- Time-to-first-customer: How long from MVP to first paying customer? (Benchmark: 2–4 weeks)
- Customer acquisition cost: How much did you spend to acquire your first customer? (Benchmark: $0 for founder-led sales, $5K–$20K for sales-assisted)
- Product-market fit signals: Are customers using the product? Are they paying? Are they referring? (Benchmark: 20%+ month-on-month growth, NPS > 40)
If you’re hitting these benchmarks, you’re on the right track. If you’re missing them, either your vertical choice is wrong or your execution is weak.
Step 3: Build Your Playbook
After your first company, document what worked:
- Which workflows did you focus on?
- Which integrations were critical?
- What was the customer acquisition path?
- What were the regulatory challenges?
- Who were the key influencers and decision-makers?
Then use that playbook for your second company. It should move 30–40% faster than your first.
Step 4: Build Your Network
After your first company, you should have relationships with:
- 5–10 domain experts and operators
- 2–3 potential acquirers
- 3–5 potential future founders
Invest in these relationships. Invite them to dinners. Ask for advice. Share learnings from your first company. These relationships are your unfair advantage.
Step 5: Iterate Your Vertical Thesis
After your first company, you might realise your vertical thesis was wrong. Maybe the workflow you thought was valuable isn’t. Maybe the acquirer landscape is different than you expected. Maybe there’s a better adjacent vertical.
That’s fine. Iterate. Use what you learned to refine your thesis.
Example: A studio started with a thesis around “healthcare claims processing.” After their first company, they realised the real pain point was “prior authorisation,” not claims processing. So they shifted their focus. Their second company was built around prior auth automation, and it moved much faster.
Execution Playbooks for Each Vertical Type
Here’s how to execute once you’ve picked your vertical. These are the playbooks we use at PADISO and what we’ve seen work across 50+ portfolio companies.
Playbook 1: Vertical AI for Regulated Industries
Timeline: 12–16 weeks from founder recruitment to MVP
Key milestones:
- Week 1–2: Founder recruitment and onboarding
- Week 3–4: Customer discovery and workflow mapping
- Week 5–8: MVP development (AI model selection, workflow automation, compliance framework)
- Week 9–12: Compliance audit-readiness (SOC 2 or ISO 27001 via Vanta)
- Week 13–16: Customer pilot and iteration
Key hires:
- Founder/CEO (domain expert or strong operator)
- CTO or AI engineer (with AI/ML experience)
- Compliance/operations person (for audit-readiness)
Key partnerships:
- AI infrastructure provider (OpenAI, Anthropic, or custom LLM)
- Compliance framework provider (Vanta for SOC 2/ISO 27001)
- Domain integrations (EHR, claims systems, etc.)
Funding strategy:
- Seed round: $500K–$1.5M (cover 18–24 months of runway)
- Series A: $3M–$8M (at 12–18 months post-MVP, with customer traction)
Exit path:
- Acquisition by major player in vertical (3–5x revenue)
- IPO (if you reach $50M+ ARR)
Playbook 2: Platform Re-Platforming and Modernisation
Timeline: 6–12 months per engagement
Key milestones:
- Month 1: Discovery and architecture design
- Month 2–3: Data migration planning and execution
- Month 4–8: Platform build and integration
- Month 9–12: Testing, compliance, and go-live
Key hires:
- Engagement lead/partner (with enterprise sales experience)
- Solution architect (with platform engineering expertise)
- Delivery manager (with large project experience)
- Engineers (backend, frontend, DevOps)
Key partnerships:
- Cloud provider (AWS, Azure, GCP)
- Database provider (if moving to new stack)
- Compliance provider (if SOC 2/ISO 27001 required)
Funding strategy:
- Service revenue (bill by time and materials or fixed price)
- Equity stake (if you’re building a product alongside the re-platform)
Exit path:
- Recurring service revenue
- Product spin-off (if you build a reusable platform)
Playbook 3: Workflow Automation for SMB/Mid-Market
Timeline: 4–8 weeks from customer to deployed automation
Key milestones:
- Week 1: Customer discovery and workflow mapping
- Week 2–3: Automation design and tool selection (Zapier, Make, n8n)
- Week 4–6: Build and testing
- Week 7–8: Deployment and training
Key hires:
- Automation engineer (with Zapier/Make/n8n experience)
- Sales/customer success person (for customer relationship and upsell)
Key partnerships:
- Automation platforms (Zapier, Make, n8n)
- Integration partners (for custom connectors if needed)
Funding strategy:
- Service revenue (bill by project or ongoing retainer)
- Recurring revenue (monthly retainer for automation maintenance and iteration)
Exit path:
- Build a portfolio of 20–50 automated workflows
- Sell to a larger automation agency or platform
- Or remain as a profitable services business
Playbook 4: Fractional CTO and AI Strategy
Timeline: Ongoing engagement (3–12 month minimum)
Key milestones:
- Month 1: Technical audit and AI strategy development
- Month 2–3: Architecture and roadmap planning
- Month 4+: Ongoing technical leadership and AI guidance
Key hires:
- Fractional CTO (with startup and AI experience)
- AI architect or engineer (for technical depth)
Key partnerships:
- AI infrastructure providers
- Security and compliance providers (for audit-readiness)
Funding strategy:
- Recurring revenue (monthly fractional CTO retainer)
- Equity stake (optional, for deeper alignment)
- Upsell to co-build or platform engineering
Exit path:
- Recurring revenue business
- Upsell to co-build or platform engineering services
- Equity upside if portfolio companies succeed
Measuring Vertical Success
How do you know if your vertical strategy is working? Here are the metrics that matter:
Metric 1: Founder Recruitment Velocity
How many founders are you recruiting per month in your chosen vertical?
Target: 1 founder per month (or 3 per quarter) once you’ve shipped 1–2 companies
Why it matters: Founder recruitment is your limiting factor. If you can’t recruit founders, you can’t build companies.
How to measure: Track the number of founder conversations, the conversion rate to founder recruitment, and the time from conversation to recruitment.
Metric 2: Time-to-MVP
How long does it take from founder recruitment to MVP?
Target: 8–12 weeks for vertical AI, 12–16 weeks for platform engineering, 4–8 weeks for workflow automation
Why it matters: Faster time-to-MVP means you’re learning the domain, you have playbooks, and you’re executing efficiently.
How to measure: Track the start date for each company and the MVP launch date. Calculate the average across your portfolio.
Metric 3: Time-to-First-Customer
How long does it take from MVP to first paying customer?
Target: 2–4 weeks for workflow automation, 4–8 weeks for vertical AI, 8–12 weeks for platform engineering
Why it matters: Faster time-to-first-customer means you’re selling to the right people, you understand the buying process, and you have a repeatable sales playbook.
How to measure: Track the MVP launch date and the first customer revenue date. Calculate the average across your portfolio.
Metric 4: Customer Acquisition Cost (CAC)
How much are you spending to acquire each customer?
Target: $0 for founder-led sales (no cost), $5K–$20K for sales-assisted, $20K–$50K for enterprise sales
Why it matters: If CAC is low, you have a repeatable sales process and strong product-market fit. If CAC is high, you’re either selling to the wrong segment or your product isn’t compelling.
How to measure: Track marketing and sales spend per company, and divide by the number of customers acquired.
Metric 5: Portfolio Growth Rate
How fast is your portfolio growing in terms of revenue?
Target: 30–50% month-on-month growth across the portfolio in year 1, 20–30% in year 2
Why it matters: Portfolio growth rate tells you if your vertical strategy is working. If growth is slowing, either your vertical is saturating or your execution is weakening.
How to measure: Track total portfolio revenue each month. Calculate the month-on-month growth rate.
Metric 6: Acquirer Engagement
How engaged are potential acquirers in your vertical?
Target: 2–3 serious conversations with potential acquirers per company before Series A
Why it matters: If acquirers are interested, it validates your vertical choice and gives you data on exit multiples.
How to measure: Track the number of acquirer conversations per company and the level of interest (LOI, term sheet, etc.).
Metric 7: Founder Satisfaction and Referrals
Are your founders happy? Are they referring other founders?
Target: NPS > 50 for founder satisfaction, 30%+ of new founders come from referrals
Why it matters: If founders are happy and referring, you’re building a strong network moat. If they’re not, your vertical strategy isn’t working.
How to measure: Survey your founders quarterly. Track the source of new founder leads.
Next Steps: Moving from Theory to Traction
You’ve now got the frameworks, the patterns, and the playbooks. Here’s how to move from theory to traction:
Step 1: Articulate Your Vertical Thesis (This Week)
Write a 1-page thesis on your chosen vertical. Include:
- Why this vertical: What’s your unfair advantage?
- Market size: TAM, SAM, SOM
- Founder network: How many potential founders can you recruit?
- Acquirer landscape: Who would buy? Recent M&A activity?
- Execution capability: Can you build in this space?
- Success metrics: How will you measure success in year 1?
Share this with 3–5 people you trust. Get feedback. Refine.
Step 2: Validate Your Thesis with Domain Experts (This Month)
Talk to 10–15 domain experts and operators in your chosen vertical. Ask them:
- “What are the biggest problems in your industry?”
- “What workflows are broken?”
- “Would you invest in a startup that solved [your core problem]?”
- “Who else should I talk to?”
Use these conversations to refine your thesis. If domain experts are excited, you’re on the right track. If they’re skeptical, reconsider your vertical.
Step 3: Recruit Your First Founder (This Quarter)
Use your network to find and recruit your first founder. This is the most important step. Your first founder will teach you more about your vertical than any amount of research.
Look for a founder who:
- Has 5+ years of domain expertise
- Is passionate about solving a specific problem
- Has the operational skills to build a company (or is willing to learn)
- Can commit 100% to the startup
Step 4: Ship Your First MVP (In 12–16 Weeks)
Once you’ve recruited your first founder, focus on execution. Use the playbooks above to guide your work. Aim to ship an MVP in 12–16 weeks.
During this time:
- Do customer discovery (talk to 20–30 potential customers)
- Build the MVP (use existing tools and frameworks where possible)
- Secure your first customer (or pilot)
- Prepare for compliance audit-readiness (if in a regulated vertical)
Step 5: Measure and Iterate (Ongoing)
Once you’ve shipped your first company, measure your performance against the metrics above. Use those metrics to:
- Refine your playbook
- Recruit your second founder
- Adjust your go-to-market strategy
- Deepen your domain expertise
After 2–3 companies, you’ll have a clear picture of whether your vertical strategy is working. If it is, double down. If it’s not, iterate or pick a different vertical.
Step 6: Build Your Vertical Advantage (Year 2+)
Once you’ve shipped 3–5 companies in your chosen vertical, focus on building your unfair advantage:
- Deepen your domain expertise: Hire domain experts. Build relationships with key operators and acquirers.
- Refine your playbooks: Document what works. Build repeatable processes.
- Expand your network: Invest in relationships with founders, operators, and acquirers.
- Build your brand: Become known as the studio for [your vertical]. Speak at conferences. Write content. Build thought leadership.
At PADISO, we’ve used this approach to build expertise in AI and automation across healthcare, fintech, and enterprise software. We’ve shipped case studies showing 30–50% cost reductions and 4–8 week faster time-to-market for companies in our focus areas.
If you’re building a venture studio in 2026, vertical focus is no longer optional. It’s the primary competitive advantage. Pick your vertical, validate it with domain experts, ship your first company, and measure relentlessly.
The studios that win in 2026 won’t be the ones with the most capital or the most process. They’ll be the ones that understand their domain deeply and can compress the time and cost to build great companies in that space.
Key Takeaways
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Domain verticals are now table stakes for venture studios. Horizontal studios are struggling. Vertical studios with domain expertise and repeatable playbooks are winning.
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Use three frameworks to pick your vertical: workflow compression (is there a measurable problem?), founder talent concentration (can you recruit founders?), and acquirer concentration (is there a clear exit path?).
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Validate your thesis with domain experts before you commit. Talk to 10–15 operators and founders in your chosen vertical. Get their feedback.
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Ship your first company quickly. You’ll learn more in 6 months of execution than in 12 months of planning.
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Measure relentlessly. Track founder recruitment velocity, time-to-MVP, time-to-first-customer, CAC, portfolio growth, and founder satisfaction. Use these metrics to iterate.
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Build your unfair advantage over time. After 3–5 companies, you should have deep domain expertise, strong playbooks, and relationships with key operators and acquirers.
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Consider working with a partner. PADISO and studios like us can provide fractional CTO leadership, AI strategy and architecture, and co-build support to accelerate your time-to-market. We’ve also helped portfolio companies with security audit and SOC 2 / ISO 27001 compliance via Vanta.
The venture studio playbook is evolving. Vertical focus, domain expertise, and repeatable execution are the new competitive advantages. Pick your vertical, validate it, and execute relentlessly.
Additional Resources
For more on venture studio strategy and vertical selection, check out these resources:
- How to Define the Right Vertical for your Venture Studio — A detailed guide on vertical selection frameworks and competitive positioning.
- Vertical AI Startup Ideas 2026: Industry-Specific Opportunities — Strategies for identifying beachhead niches in vertical AI.
- Top Venture Studio Trends to Watch in 2026 — Overview of key trends shaping venture studios this year.
- What’s Next for Startup Studios: Five Things to Expect in 2026 — Predictions on domain specialisation and vertical focus.
- 12 Top Venture Studios for Startup Founders in 2026 — Profiles of leading studios and their vertical strategies.
- List of the Top Startup Studios [2026] — Directory of top studios, highlighting their specialisations.
- The New New Venture Studio — a16z analysis on evolving venture studio models and domain expertise.
For support with your venture studio’s technical execution, AI strategy, and compliance needs, reach out to PADISO. We’ve built playbooks for AI & Agents Automation, fractional CTO leadership, and security audit readiness via Vanta that can accelerate your portfolio companies’ time-to-market and reduce technical debt.