For the past decade, most SaaS success stories followed the same formula:
Build horizontal software.
Sell it to every company.
Scale globally.
Companies like Salesforce, HubSpot, and Slack built massive businesses by selling tools that work across industries.
But AI is starting to change something fundamental about software.
And it may give a major advantage to a different category: vertical SaaS.
The shift: from software tools to AI operators
Traditional SaaS is mostly about interfaces and workflows. You log into software, input data, and manage processes through dashboards.
AI changes that dynamic.
Instead of software being a tool, it increasingly becomes an operator that performs tasks. For example:
Instead of using software to manage customer support, an AI agent can handle customer conversations directly.
Instead of using software to review contracts, an AI can analyze legal documents automatically.
But for AI to perform tasks well, it needs something critical: deep context.
AI performs better with industry-specific data
Generic AI models are powerful, but they lack domain expertise.
A general model may understand language, but it doesn’t fully understand:
medical billing workflows
logistics routing constraints
restaurant inventory management
insurance claims processing
This is where vertical SaaS becomes powerful.
Vertical SaaS companies already have:
industry-specific datasets
structured workflows
customer relationships
domain expertise
All of this becomes fuel for AI systems.
Vertical SaaS owns the workflow
Another major advantage is workflow control. When software is deeply embedded in an industry’s daily operations, it becomes difficult to replace.
Consider industries like:
healthcare clinics
construction
logistics
restaurants
insurance
Many of these sectors rely on specialized software tailored to their exact workflows. If those platforms add AI capabilities, they can automate entire processes.
That creates a powerful position: the software becomes the operational layer of the industry.
The data moat becomes stronger
One of the biggest defensibility advantages in software is proprietary data.
Vertical SaaS platforms often collect highly specialized datasets.
When AI is trained on this data, the platform becomes increasingly difficult to replicate.
Over time, the AI improves with every interaction. This creates a data flywheel.
Horizontal SaaS may become commoditized
AI also lowers the barrier to building software.
Many horizontal SaaS products are essentially:
dashboards
workflow tools
integrations
With AI-assisted development, these tools are becoming easier and cheaper to build.
That increases competition, and it may compress margins for many generic SaaS products.
Real-world examples of the new vertical SaaS wave
Several newer startups are already proving how powerful vertical SaaS can be.
Take Stord. The company built a cloud platform specifically for logistics and supply-chain operators, helping brands manage fulfillment, warehousing, and distribution through a single system. By focusing entirely on logistics workflows, Stord has raised hundreds of millions of dollars and is becoming a key operating layer for modern supply chains.
Another example is Seso, which builds software specifically for agriculture labor management in the U.S. The platform helps farms manage hiring, payroll, and compliance for seasonal workers (problems that generic HR software was never designed to solve).
These companies show the new vertical SaaS playbook: focus on one industry, own a core workflow, and build software that deeply understands how that industry operates.
The new playbook for AI-native SaaS
The companies that win in the AI era may follow a different strategy:
Start with a specific industry
Own the core workflow
Collect proprietary operational data
Layer AI automation on top
Instead of building generic tools, they build AI-powered operating systems for entire industries.
The bigger picture
Software is evolving from tools to systems that perform work. When that happens, domain expertise becomes essential. And that’s exactly what vertical SaaS companies already have.
In the AI era, the biggest software companies may not be the ones serving everyone.
They may be the ones serving one industry extremely well.
Portfolio Companies
News about our Portfolio Companies
Portfolio companies currently raising investment rounds
Wisecricket: A platform that automates financial audits using AI: monitoring invoices, contracts, and fiscal compliance in real time.
Please don’t hesitate to contact us in case you are interested in connecting with any of these amazing companies.
Recommendations of the Month
Breaking The Habit of Being Yourself: How to Lose Your Mind and Create a New One - Joe Dispenza: Joe argues that our thoughts, emotions, and habits create the “self” we experience every day. By becoming aware of these patterns and consciously changing our thinking and emotional states, often through meditation, we can rewire the brain and create a new version of ourselves aligned with the future we want.
AI’s Capital Flywheel: Models, Money, and the Future of power | The a16z Show.