Are AI Companies Out Funding Pure-Play SaaS? | SaaS Metrics School | Pure-Play SaaS
•December 8, 2025
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Why It Matters
The shift shows investors are allocating capital to both AI‑native and AI‑enabled SaaS firms, meaning pure‑play SaaS companies must adopt AI capabilities to remain attractive and competitive in future funding cycles.
Summary
The episode of SaaS Metrics School tackles a timely question: are AI‑first companies siphoning venture capital away from traditional pure‑play SaaS firms? Host [Name] draws on his three‑year‑old fundraising news site, which aggregates more than 8,000 funding events, to dissect the first week of August’s capital deployments. By scraping landing‑page copy with a ChatGPT‑5‑powered script, he classifies each newly funded startup as either AI‑native, AI‑enabled, or neither, then reports the findings.
The data reveal that roughly one‑third (33 %) of the companies funded that week were pure AI‑native ventures, while the remaining two‑thirds fell into conventional SaaS or other tech categories. When the analysis widens to include any mention of AI features—such as large language model integrations—a near‑even split emerges: 51 % of the funded firms tout AI capabilities versus 49 % that do not. This suggests that AI is no longer a niche add‑on but a mainstream component of many SaaS products, blurring the line between “pure‑play” and “AI‑enhanced” offerings.
The host underscores the methodology, noting, “I use ChatGPT‑5 to do a little analysis of all the landing pages…roughly directionally correct.” He also highlights the scale of his dataset (over 8,000 points) and invites founders to publicize their rounds on thesasnews.com. By quantifying the AI‑centric share of new capital, the episode provides a concrete benchmark for investors and founders tracking the rapid diffusion of generative‑AI features across the software stack.
For SaaS operators, the takeaway is clear: AI integration is becoming a de‑facto expectation rather than a differentiator. Venture capitalists appear comfortable backing both AI‑first startups and traditional SaaS firms that embed AI, signaling that future funding rounds will likely reward companies that can demonstrate tangible AI‑driven value. Monitoring these trends will be essential for CEOs aiming to attract capital and stay competitive in an increasingly AI‑infused market.
Original Description
Are AI companies out-funding pure-play SaaS companies? In today’s edition of SaaS Metrics School, we dive into fresh data, real funding trends, and what this means for SaaS operators, founders, and finance leaders navigating the evolving AI-SaaS landscape.
Welcome back to SaaS Metrics School — the weekly series where SaaS operators learn SaaS finance, metrics, benchmarks, and analysis to help grow their careers and scale their businesses. I’m Ben Murray, The SaaS CFO. Today’s episode breaks down a fascinating trend emerging in the fundraising world: AI-first companies vs. pure-play SaaS in venture funding.
For the past three years, I’ve run a SaaS fundraising news site where we’ve captured over 8,000 data points across funding rounds in SaaS, AI, fintech, and broader tech. Every week we track who’s raising, what categories are surging, and how investor interest is shifting. And this week’s analysis reveals something especially interesting.
I analyzed the first week of August’s funding events, then used ChatGPT-5 to scan landing pages and categorize companies as AI-native, AI-feature-enabled, or pure-play SaaS. The lines between AI and SaaS are getting blurrier every day — many say AI isn’t SaaS… but at the end of the day, isn't it still software? For now, we’ll stick to directional classifications based on what companies publicly claim.
Here’s what the data revealed:
♦️ 33% of all companies funded that week were AI-native or AI-first.
This means one-third of funded companies positioned themselves as primarily AI-driven. Whether through LLMs, generative AI, machine learning infrastructure, or AI-powered platforms, these companies led with AI as the core of their value proposition.
♦️ 67% were NOT AI-first companies.
These included SaaS, fintech, dev tools, platform software, and other tech categories.
The second insight is where things get even more interesting:
♦️ 50% of companies funded that week promoted AI features or LLM-powered capabilities.
♦️ 49% did not mention AI at all.
This is a strong signal that AI features are becoming table stakes in SaaS and tech, even if the company is not “AI-native.” AI is now embedded across CRM tools, PLG SaaS, vertical SaaS, dev tooling, sales platforms, customer support systems, and more.
These insights confirm what many SaaS founders feel:
AI is taking a larger share of venture dollars, but SaaS companies adopting AI features are still very much in the game — and increasingly expected to incorporate AI to stay competitive.
As I continue tracking weekly funding events, I’ll keep sharing updated stats on AI vs. SaaS funding trends, how AI-first companies are shifting investor behavior, and what this means for SaaS operators building metrics dashboards, scaling teams, or raising capital.
If you want a weekly email summarizing these funding events (across SaaS, AI, fintech, and broader tech), visit theSaaSnews.com and get it delivered straight to your inbox.
Thanks for tuning in to another episode of SaaS Metrics School — helping you master the metrics that matter so you can grow faster, run your business smarter, and build a high-performing SaaS finance engine.
If you found this helpful, please like, subscribe, and drop a comment on what metrics or topics you want covered next!
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