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So will buyers really pay more for AI? On the one hand, many players in the support space have clearly been able to charge incrementally for AI-based issue resolution, from Intercom to Zendesk to Gorgias and more. HubSpot and Procore are taking their time in deciding how much if anything to charge extra for AI.
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.
Data from Stripe (below) shows the speed at which AI native companies are growing compared to SaaS companies. If you wanted to scale users and growth, you needed to scale a physical data infrastructure footprint. Now let’s talk about the AI wave. The explosion of AI GTM solutions is dizzying.
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. It starts with silicon chips, GPU, and data centers.
As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. With the 3.0
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.
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.
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.
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.
AI is becoming ubiquitous. The number of critical touch points is growing exponentially with the adoption of AI. But with the incredible pace of the modern world, AI systems continually face new data patterns, which make it challenging to return reliable predictions. Brought to you by Data Robot.
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.
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.
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?
Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes.
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. ’ The twist this time is the data is very hard for startups to acquire or accumulate.
Navigating the AI Transformation Journey Calendly is taking a comprehensive approach to AI implementation across its entire customer experience – not just within the product itself. ” Bios: Steven Shu, Chief Product Officer at Calendly Steven brings over 8 years of AI expertise to Calendly. .”
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.
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 risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. Are you ready to deliver fair, unbiased, and trustworthy AI?
IBM’s $7B Bet on Vertical AI and What It Means for SaaS Founders. What’s emerging is a new paradigm: Vertical AI, where foundation models are specialized for specific industries and use cases. The WatsonX Platform Deep Dive What’s Actually Different Here WatsonX isn’t just another AI platform.
Codeium has emerged as one of the hottest AI startups, growing from 30 to 150 employees in just one year, with a valuation already exceeding $1 billion. Codeium has built a generative AI coding assistant Windsurf that integrates across any IDE and supports over 70 programming languages. What is Codeium and Windsurf?
Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day. Unstructured Data, as the name suggests, lacks a clear structure.
So it’s interesting how folks craft headlines from data. Carta release its latest funding data the other data for 2024 Year-To-Date here : What you can see is that large, hot AI later stage deals overall are indeed driving venture capital deployments up ~ +17% the year. Most of it AI driven.
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.
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.
No one has a true crystal ball when it comes to Cloud spend in the coming years, but the leaders have a lot of data. Morgan Stanley said recently AI spend is about 50% new, 50% repurposed from the rest of the IT budget. AI driving software from 2.0% Thoma Bravo is one of them. of GDP in 2020 to 4.0% in 2030 would be huge.
Six months ago, security was the number one prohibition preventing businesses and software companies from buying AI. And this is true across all of software and AI. #3: 5: AI Isn’t Impacting Conversion Rate Companies can now deploy a sales copilot or utilize full SDR automation fairly quickly. It isn’t predictable.
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.
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.
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.
The Problem Was Real: Apple and Google’s app stores weren’t giving developers the data they needed. Market Timing: Sometimes the best companies are built during inflection points (mobile subscriptions, AI boom, app store policy changes). Basic questions like “What’s our churn rate?”
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.
So SVB still is the #1 bank for tech companies in Silicon Valley and they have a ton of data. The data shows down rounds comprised 30-50% of IPOs even during “good” periods. Combined with AI tools that make developers more productive, this is fundamentally changing SaaS unit economics. They have 24% of all U.S.
Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation. Tools and AI Gadgets 🤖 Overview of essential AI tools and practical implementation tips.
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.”
There’s a lot of great data in the report, but one analysis helped answered a question I’ve been wondering the past 12-18 months: Are start-up actually more overvalued today than at the peak of Cloud mania in 2021? And you can see it in AI Mania. How Long Will the AI Bubble Last? in 2021 to 23.4x We’ll see.
It’s a new SaaS, a different SaaS, and AI-fueled SaaS, but it’s back. No matter what, it will be bigger and better (and even more AI centric) than 2024. Many of us never saw a downturn the past 24 months, but those in B2B2B often did. We’ll see where it all ends up for SaaStr Annual 2025. We’re back.
On November 8th, I’ll share my 10 Top Trends in Data & AI at the IMPACT Summit. Last year, I covered 9 topics: Cloud data warehouses will process 75% of workloads by 2024. Data workloads segment into in-memory, cloud data warehouse, & cloud data lakes. Metrics layers unify the data stack.
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.
The Next Big Thing in AI Compliance: What ISO 42001 Means for Your SaaS Company The Cold Hard Truth About AI Risk in SaaS Picture this: Your product team’s AI chatbot gets breached. Why ISO 42001 Actually Matters (Like, Really Matters) Here’s the deal: AI isn’t just another feature anymore. No protocol.
As we’ve been researching the AI landscape & how to build applications, a few design patterns are emerging for AI products. They help us understand how builders are engineering AI applications today & which components may be important in the future. The first design pattern is the AI query router.
The information provided was all pulled from data he’s already entered - just Mark, Houston, Math Teacher, Teach for America. 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.
During the era of big data, data gravity was the core strategic imperative. Wherever the biggest dataset resided, customers ran their compute workloads that generated all of the profit and revenue growth for the last generation of data companies. Today, the battle is for AI gravity. History will rhyme with AI.
Capitalizing on the incredible potential of AI means having a coherent AI strategy that you can operationalize within your existing processes. Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. AI storytelling in communicating value to your organization.
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