Vertical Breakdowns Predictions in 2026

Hey all,

Over the past decade, vertical software has quietly evolved and matured from workflow tools into operating systems for entire industries. In 2026, that evolution becomes more obvious and accelerated.

Today, I’ll lay out 5 predictions for vertical platforms with a forward-looking lens. By the end of 2026, we’ll revisit these predictions and assess which ones were accurate.

Let’s Dive In

As vertical platforms mature, they increasingly sit at the center of an operator’s workflow: invoicing, scheduling, compliance, CRM, payroll, inventory, and reporting. Layering financial products on top of their core platform offerings will become a natural extension

In 2026, we’ll see embedded finance move from experimentation to execution.

Vertical platforms will increasingly bundle:

Embedded finance infrastructure Companies like Rainforest (Covered in Our Deep Dive Here) and Unit also offer platforms as an alternative to pursue white-label service offerings, further reducing friction to attach fintech products without extensive engineering effort and multi-year timelines. 

2025 has made it clear that selling AI software alone is often insufficient in legacy industries. MIT study stated that 95% of AI experiments have failed, and change management has been a real bottleneck to value realization from AI. 

Full-stack companies, by definition, are technologically native service providers that leverage proprietary software to reshape their own operations and unit economics. Instead of selling software to customers, they deliver outcomes on behalf of customers. 

Owning the full stack allows founders to control the entire value chain: data ingestion, model training, workflow orchestration, and service delivery. While this approach may defy the scalability software benefits from, it maximizes long-term value capture and defensibility.

We’re already seeing two paths emerge:

(A) Acquisition-led full-stack models, such as General Catalyst’s acquisition of Summa Health system, signal a willingness to own operational infrastructure to enable AI-driven transformation. Metropolis follows a similar playbook by integrating its proprietary technology into SP+’s property management contracts and services, or Bueno’s roll-up approach to scale operations.

(B) Organic full-stack models, like OffDeal’s or Corgi Insurance’s vertically integrated approach, show how software-plus-services can disrupt entrenched professional workflows, and these companies can capture the full benefits of AI

While software as an asset class is maturing, capital providers are seeking new ways of differentiation.

Traditional PE models were built around financial engineering and roll-ups. In vertical software, that playbook increasingly falls short in the sea of competition. The real value creation now comes from product velocity, platform consolidation, and engineering execution.

In 2026, we’ll see the rise of engineering-led private equity and venture funds with in-house Product, Design, and Engineering (PDE) capabilities. 

For example, Beacon Software, where they emphasize post-acquisition transformation and embedding engineering talent across portfolio companies. In 2026, this model becomes more common, where late-stage buyout funds are hiring in-house PDF talents to embed them into their portfolio companies

In theory, incumbents should be best positioned to build AI features: they have customers, data, and distribution. In practice, they’re constrained by technical debt, organizational fictions and availability of talent. 

In 2026, we’ll see more strategic acquisitions of AI-native applications by vertical incumbents looking to accelerate roadmap delivery. 

For example, Clio’s acquisition of vLex enables Clio to capture world-class AI product builders and AI capabilities that can be embedded in their core products (e.g., Clio Duo) 

Similarly, it is already happening at the foundational model / compute layer of the value chain: 

Vertical platforms are increasingly expanding beyond software into services, community, and supply chains.

In most verticals, software alone doesn’t solve the operator’s problem. They serve as a system of record with workflow solutions available for users. However, what operators really want is a turnkey solution: tools, services, best practices, and purchasing power, all bundled together.

In 2026, we’ll see more “business-in-a-box” platforms that offer:

These services often conflict with traditional SaaS ideals of pure scalability and automation. However, these capabilities dramatically reduce cognitive and operational load for customers, making platforms far stickier than standalone software tools. 

Importantly, they also open the door to revenue-sharing models, as platforms become embedded across every line of customer GMV. For example, Slice is increasingly aligning its revenue model to its customers by charging a flat take-rate of 5.4% with add-on services to supply solutions to all their merchants’ needs. Emerging vertical platforms also include Moxie (Medspas)

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