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50 cents of compute for 500 dollars of value — Sam Altman (@sama) February 3, 2025 So just how much will AI remake classic B2B software? On the one hand, new AI-first entrants are rocketing to $10m ARR in a year. And all the leaders in SaaS are leaning in on AI, from Salesforce to Asana to HubSpot to ServiceNow and more.
"Software engineers working in AI earned 48% more than the average software engineer at the company, according to a payroll spreadsheet shared with BI." But AI is challenging this. The AI Team often makes a lot more. The AI Team at many SaaS startups makes 30%-40% more. It creates issues and drama. What About You?
GitHub, founded in 2008, is a leading platform for software development and version control that has made waves since 2018 with its AI Copilot. At this year’s SaaStr AI Summit, GitHub CRO Elizabeth Pemmerl shared how to bring AI products to market at scale successfully. Keeping the door as wide as possible to get feedback.
Data from Stripe (below) shows the speed at which AI native companies are growing compared to SaaS companies. Any disruption of service at this facility could harm our business… We currently intend to add a second data center facility in 2008, the primary purpose of which is to add capacity. Follow along to stay up to date!
In our AI in Manufacturing eBook, you can learn how to solve your most urgent manufacturing and business needs with an enterprise AI platform. Get this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. Their problems and needs don’t change, but the technology and solutions do.
Ironclad CEO and co-founder Jason Boehmig joined Seema Amble, Partner at Andreessen Horowitz at SaaStr Annual to share their observations on what’s currently working and what’s not quite there yet for Artificial Intelligence (AI) in SaaS. What’s Currently Working in AI for SaaS 1.
Along with co-host Ben Salzman, Jason and Henry discuss the transformative power of AI within SaaS and the evolving dynamics that are reshaping the landscape of software as a service. ” What Will AI Change in Go-to-Market “It will lead to a next level of transparency for leadership,” Jason answers.
At SaaStr Annual’s AI Summit, we asked product leaders from some of the fastest-growing SaaS companies to share their insights on navigating the AI revolution while scaling multi-product strategies. As Hubert Palan, CEO at Productboard emphasized, “Don’t confuse AI-first with AI-only.
Should we care about AI infrastructure when building SaaS applications? Weinstein, and Managing Partner at Bain Capital Ventures, Aaref Hilaly, take the stage at SaaStr Annual to answer this question, plus what to expect with the future of AI. AI products will ultimately look and feel radically different from products today.
You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor. The five key things to consider when looking for an AI vendor.
What’s Changing in Sales: The AI Revolution is Here — and Coming Fast After analyzing 139,000+ conversations through SaaStr’s New AI, it’s now clear from the data: AI is about to fundamentally transform B2B sales. This isn’t some distant futureit’s happening right now. Not years, but months.
Cutting Through the Noise: Three Gen AI Pioneers Reshaping Enterprise Technology In a pivotal moment for generative AI, Vanessa Larco, partner at NEA, brought together three visionary CEOs convened at SaaStr Annual to share insights that are redefining the technological landscape.
At SaaStr + AI Summit 2025, Jason Lemkin and Kyle Norton CRO of $1B+ vertical SaaS leader Owner (where Jason is on the board) did a deep dive on AI in Sales today. The AI-Native CRO: How Revenue Leaders Must Evolve or Risk Obsolescence 4 Top Learnings for Revenue Leaders 1. AI Curiosity Is Now a Firing Offense to Lack.
The next evolution of AI in SaaS isn’t about better models – it’s about context and action. Here’s what Brandon Fu (CEO, Paragon) and Ethan Lee (Director of Product) shared at SaaStr AI Day about what’s actually working: 1. AI needs both context AND the ability to take action to deliver real value.
AI is becoming ubiquitous. More and more critical decisions are automated through machine learning models, determining the future of a business or making life-altering decisions for real people. The number of critical touch points is growing exponentially with the adoption of AI. Brought to you by Data Robot.
Dialpad’s Top Learnings Building Its Own AI Stack When it comes to AI implementation in SaaS, most companies are still figuring out whether to build or buy. But Dialpad has been quietly building their AI advantage for over 7 years, processing more than 8 billion minutes of conversations and hitting $300M ARR along the way.
Billion PostgreSQL Battle for AI Agent Supremacy Brief Overview : Two data giants are making strategic moves to dominate the AI agent infrastructure market through major PostgreSQL acquisitions. With this news, we will be introducing Snowflake Postgres: enterprise-grade, AI-ready, and fully managed.
Activant Capital brought together at SaaStr Annua l a group of break-out next-generation AI enhanced vertical software leaders: the CEOs from Owner.com, Alloy Automation, and DoNotPay. At SaaStr Annual they shared their experiences and insights on implementing AI in vertical software companies. New restaurants up +31% in 1 month!
After just a month of launching our own SaaStr AI (trained on a decade of content and hundreds of founders, speakers, and events), we’ve already had over 34,000 (!) conversations with our AI in just the first 30 days. With SaaStr AI, we’ve had almost 35,000 founder conversations in less than 30 days. But the reality?
An organization’s path to AI success can be full of obstacles, from a proper assessment of its own AI maturity, to a better alignment between business and technical teams, many factors can influence the outcomes.
We’ll do deep dives on all the SaaStr + AI Summit 2025 speakers soon! They’re: Drastically more efficient Skipping time-intensive processes that were once standard Questioning why organizations spend weeks on tasks AI can do in seconds As Levie observed while visiting a college class: “These kids don’t work like us.
Has growth slowed while new AI entrants in your space are growting at epic rates? But … but … it’s too late to refound your start-up in the Age of AI. VCs especially are obsessed with AI-native startups. New pitch decks without an AI strategy aren’t even making it past associates. We are early.
Six months ago, security was the number one prohibition preventing businesses and software companies from buying AI. This can destabilize your business and have a big impact on cash. And this is true across all of software and AI. #3: So the survey asked how much as a business has AI impacted its sales funnel.
SaaStr CEO and Founder Jason Lemkin recently sat down with HubSpot Chairman and co-founder Brian Halligan , who shared valuable insights on the current state of SaaS, evolving board meeting formats, and how AI is reshaping the industry. Here are the key takeaways from part 1 of this interview.
Trust is an essential part of doing business. For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions. We also look closely at other areas related to trust, including: AI performance, including accuracy, speed, and stability.
Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. This presents businesses with an opportunity to enhance their search functionalities for both internal and external users.
Generative AI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact.
SaaStr Annual + AI Summit 2025 is just around the corner , taking place at the San Mateo County Event Center from May 13-15, 2025. Thursday, May 15th promises to be action-packed, starting with an AI and Sales Kickoff at 9:00 am, followed by sessions with Anthropic and Cursor, and a Founder/VC Brunch.
Just disguised upsells, with no one on the call to actually help us: Customer Success Has Gone from The Customers Ally To Its Nemesis But AI is changing everything. Especially as AI takes over more and more of the sales process. No matter what else AI takes over, humans can always be the gap fillers here.
Generative AI is taking the world by storm, but the questions that all CEOs, data leaders, and AI leaders are being asked are: What are we going to do about it, and what is our plan? The business and creative possibilities are practically limitless with generative AI.
This year, it’s all about AI, which is why Sameer Dholakia, Partner at Bessemer, calls it the Cloud AI Era. Four portfolio companies join Sameer to talk about three trends of the Cloud AI Era. But when we got started in Cloud in 2007, most businesses that were starting with cloud picked one cloud. Let’s run the ad!”
So we’ll have ~20 of the latest AI start-ups from YCombinator at a special YC Demo Pod area at 2025 SaaStr Annual! Come meet them (and also watch 100+ present live at our first AI Demo Stage ) at 2025 SaaStr Annual, May 13-15 in SF Bay!! 3) Generate high-quality training data that continuously improves AI performance.
Engineering teams within AI application startups are much smaller than a classic software company - maybe half the size or less. 1 How would the value of these businesses change? Let’s run an experiment : let’s assume every public software company benefits immediately to the same extent & cuts R&D spending by half.
Subscribe now The Year of “Enterprise AI” One of the biggest challenges facing AI systems in enterprises today is the “last mile” problem: how do you make AI both reliable and accurate for specific enterprise use cases? This is what I’m calling “Enterprise AI.”
Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability.
Now that AI is here to help, every textbox is an opportunity to help a customer through the challenge. TechEmpower can help In the era of LLMs and Generative AI, empty textboxes are a product mistake. Note how this version incorporates Mark’s feedback and descriptive keywords. In the pre-LLM era, an empty textbox was a tough challenge.
Joselyn Goldfein , Managing Director at Zeta Venture Partners, which invests in AI and data infrastructure-focused startups from inception through seed stage And see everyone at 2025 SaaStr Annual, May 13-15 in SF Bay!! What VCs Are Funding in AI Today The AI funding landscape has evolved rapidly in 2023-2024.
Each module connects to the same Smart CRM database, creating a seamless ecosystem powered by AI. Originally an internal tool at Wix.com in 2010, Monday.com (initially called DaPulse) has blossomed into a platform that lets companies build custom workflows for virtually any business process.
The numbers validated this quickly: 2018: 100 apps, $1M tracked revenue 2020: Series A at $15M 2021: 6,000+ apps, $1B+ tracked revenue, Series B at $300M valuation SaaStr Fund’s bet wasn’t just on the founders or the technologyit was on the inevitable shift toward subscription-first mobile business models.
In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Infusing advanced AI features into reports and analytics can set you apart from the competition.
In 2006, BILL CEO and Founder René Lacerte set out to define a category around financial operations for small and midsize businesses (SMBs). At SaaStr’s AI Summit during the SaaStr Annual , René chatted with SaaStr CEO and founder Jason Lemkin about how BILL has reached half a million customers and $1.3B in revenue.
We’ve been tracking the performance of publicly traded AI companies since the beginning of the year. Publicly traded companies with AI products or strategies trade at about twice the forward multiple of non-AI peers. 2 These businesses represent about 30% of Series As in 2024. Not this time.
For many founding teams, pricing is one of the most difficult and complex decisions for the business. The value of your business is the discounted sum of all its future profits. The traditional SaaS business model of annual prepaid contracts based on seats faces challenges when a human is no longer operating the software.
Yesterday, both Google and Microsoft announced their earnings for their cloud businesses. This growth is fueled by AI workloads. ” “Higher-than-expected AI consumption contributed to revenue growth in Azure.” Notably, Microsoft has also re-accelerated - like Mongo, although to a lesser extent.
Incorporating generative AI (gen AI) into your sales process can speed up your wins through improved efficiency, personalized customer interactions, and better informed decision- making. This frees up valuable time for sellers to focus more on building relationships and closing deals.
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