This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Rolling out our AI SDR this morning. ✨ Lemkin (@jasonlk) June 16, 2025 The Top 3 Reasons AI Sales Tools “Don’t Work” (Spoiler: They Actually Do, If You Use The Tools Properly) I get this question at least 3x a week: “Jason, we tried AI sales tools and they just don’t work. What are we doing wrong?”
New spending data from Ramp reveals a possible trend: end user AI adoption may be hitting its first growth slow down. The AI adoption party might be slowing down—at least temporarily. While overall AI penetration among U.S. CFOs who initially approved AI experiments are now demanding concrete business outcomes.
The Next Big Thing in AICompliance: 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.
a16Z recently surveyed over 100 leading CIOs across 15+ industries to get the latest pulse on enterprise AI spend in software. The learnings aren’t a surprise — but they are useful to see just how core AI spend has become in the enterprise. Top 5 SaaStr Learnings: Enterprise AI in 2025 1.
For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions. In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale.
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.
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.
AI-native + mission-critical = strong performance (Palantir +165%, ServiceNow +12%). The B2B and SaaS market has clearly separated into two different value propositions: Mission-critical AI platforms (strong performance) Traditional productivity tool s (facing headwinds) Let us break it down category by category.
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.
The Great Spending Showdown: AI vs SaaS in 2025/2026 — What Every B2B Leader Needs to Know We’re witnessing the most dramatic shift in enterprise tech spending since the cloud migration began 15 years ago. The numbers are staggering: AI spending is set to hit $644 billion in 2025, growing at a mind-bending 76.4% year-over-year.
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.
We’re thrilled to announce the return of two incredible partners coming back to SaaStr Annual + AI Summit 2026 ! See you at SaaStr Annual + AI Summit 2026 and SaaStr AI London in December 2025! May 12-14 again at our 40 acre campus in SF Bay!! Duplo Cloud – Our 6-Time Champion! Mark Your Calendars!
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.”
G2 has its latest Buyer Behavior report out and while most of its take-aways are things we know or should know, it’s a wake-up call for anyone thinking AI isn’t important in their category: 🚀 Top 5 SaaStr Learnings from G2’s 2025 Buyer Behavior Report 1. Align sales comp with net revenue retention, not initial ACV 3.
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.
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 With a trillion in payment volume coming through BILL in the last five years, managing the payment and compliance engine has required an ongoing effort of a sizable team.
At Payrix from Worldpay, we have an internal team of risk management experts dedicated to helping software companies, like yours, manage payment processing, fraud prevention, and compliance. Explore risk and compliance advice for platforms. compliance. compliance. Here’s what they want to know.
AI tools can help flag bottlenecks or anomalies here. AI can reduce forecasting errors by 20-50%, so if youre still relying on guesswork, its time to upgrade your approach. AI can help refine your ICP and prioritize high-propensity leads. AI can help predict churn and identify expansion opportunities. If so, why?
AI will transform software sales. Most of the discourse so far has focused on how AI upends the sellers’ worldview. When researching software, operational buyers & procurement teams alike will use AI to research different offerings. AIO, (AI-optimization), will become necessary to ensure the results are accurate.
The combination of AI excitement, economic stability, and pent-up demand from years of IPO drought has created conditions we haven’t seen since 2021. Learning #4: Data + AI = Premium Multiples Rubrik’s 206% returns reflect the market’s appetite for companies sitting at the intersection of data management and AI enablement.
At Saastr Annual, we hosted an Enterprise panel of AI leaders to share their experience and knowledge to help others understand how big companies think about and leverage AI. While the first generation of Generative AI is great, it’s not quite ready to solve Enterprise problems. Enterprises are looking for two big themes.
AI adoption is slower than expected in many spaces. Most leaders wants to inject AI into their business to develop a competitive advantage. The pace of innovation, the early understanding of AI internals, & the non-determinism compound to create doubt. But no such standard exists for AI - yet.
The major areas of AI innovation automate white-collar work. It’s striking that most of them already have a significant number of AI startups pursuing their ambitions to change workflows. Occupation Employment (in millions) AI Technology Software Developers & IT 2.71 Powerpoint creation, data analysis Lawyers 0.8
Subscribe now “Grouping + AI” for Triage One area I’m quite excited to see AI revolutionize is “grouping + triage” workflows. Many of them AI based. Every week I’ll provide updates on the latest trends in cloud software companies. Follow along to stay up to date! Perfect for a LLM!
AI adoption has grown exponentially over the past year and it has likely doubled from its more than 2.5x At SaaStr Annual , IBM’s VP of Software and Technology Raj Datta and Director of Startups Kylie Rutherford shared how AI is changing the game for companies of all sizes. How to scale AI across your business.
Scytale announces its vision for implementing an AI-driven future of compliance, as well as fully supporting AI security and privacy frameworks in its compliance automation platform. However, AI must also be implemented with caution, respect for data privacy, and adherence to ethical standards.
Is Generative AI going to be transformative or incremental for your startup? Are you re-vampimg your entire product roadmap, or sprinkling AI in along the way? A panel of AI-driven organizations took the stage at SaaStr Annual to talk about the trends and opportunities of GenAI and how it’s shaped their companies.
Its architecture provides full ACID compliance, so concurrent reads and writes are handled seamlessly, allowing entire teams (and their AI agents) to work on the data lake simultaneously. In tests, DuckLake achieved sub-second query planning on a petabyte of data with 100 million snapshots—a scale that other systems can’t handle.
A product manager today faces a key architectural question with AI : to use a small language model or a large language model? the company has no plan/interest to staff a team to manage AI infrastructure or develop deep machine learning experience / expertise in-house. The pace of innovation in the field clouds the answer.
There are 4 questions a startup should ask themselves about building a startup that uses generative AI. The narrative is : AI is a massive platform change that Goldman Sachs projects will increase GDP 300x more than the PC. There are 4 questions startups should ask themselves about building with generative AI. The video is here.
Keep reading to learn what the four most common SaaS assumptions are, and watch Adam knock each one down with the power of generative AI. Now, it’s time to knock over all of these beliefs with generative AI. Debunking Traditional SaaS Beliefs Generative AI inverts all of the assumptions above, and we’re at the start of it, not the end.
This partnership is driven by one goal: to help organizations tackle AIcompliance and governance with ease. “AI is changing the way businesses operate, and as organizations adopt these technologies, ensuring strong compliance and governance is more critical than ever. . ” Guy Horovitz, COO, Scytale.
As technology continues to evolve, compliance industry trends and requirements adapt accordingly. Compliance trends in 2025 continue to be influenced by emerging technologies such as artificial intelligence, Internet of Things, blockchain, and cloud computing. Artificial Intelligence advancements also come with new insider threats.
Artificial Intelligence Does your application leverage AI in any way? How can we use AI to improve the customer experience? AI Assisted Development How can we use AI to speed up our SLDC? How can we leverage AI to get our product to market faster? What about an AI support assistant? For customer service?
Generative AI has taken the world by storm, and VCs and SaaS founders are looking at new opportunities it can bring. Even considering the more conservative fundraising market in 2023, there are opportunities for startups to get investor attention with AI. About 15 – 25% of tasks can be automated using AI. Sign up for free.
Why It Matters Now Tighter Regulations : States are increasing audits and enforcing strict compliance. Built-In Compliance & Identity Verification : KYC and AML processes ensure funds go to the right person, without manual delays. Compliance on Autopilot : Dormancy rules, alerts, and reporting are built-in—no spreadsheets required.
Imagine new hires hitting the ground running on day one, software license automatically optimized, compliance checks a breeze, and IT is no longer bogged down with tedious tasks. AI continues to disappoint The AI hype is real, but the impact seems to be falling short. Inaccurate or biased data can lead to unreliable results.
Many net-new purchases are for data security, compliance, risk management, and AI-powered tools. Compliance : The cost of GDPR compliance has totaled around $9B globally since its introduction. AI-Powered Tools: AI-related purchases in Q1: Made up 41% of new investments in Q1. weakest link.
When you think about AI, whats the first thing that comes to mind? With 72% of businesses globally already integrating AI in some form, its no wonder so many are scrambling to get a handle on the risks that come with it. In the spotlight today are two key players in AI risk management – NIST AI RMF and ISO 42001.
Wiser – Live Sales Co-pilot / Coaching Startup Shrav Mehta is the Founder and CEO of Secureframe, a provider of security and compliance software to help streamline SOC 2 and ISO 27001 compliance, and backed by Accomplice Ventures, Kleiner Perkins and Gradient Ventures (Google’s AI fund) The post My App Stack: Shrav Mehta, Founder and CEO of Secureframe (..)
AI will automate 25-50% of white collar work including data analysis. On the contrary, while AI can automate some work, it will also demand much more from data teams. The data team will bear the responsibility of providing the data, validating it, & ensuring that it meets both internal & external standards/compliance.
Takeaway #2: Inflation and surcharging compliance Ella highlighted the rising importance of surcharging as a response to inflation and escalating operational costs. Ensuring compliance in surcharging practices is critical, as violations can lead to substantial fines.
In an era when executives are bombarded with tech buzzwords, it’s vital to focus on real-world AI uses that deliver business impact. This vivid idea captures AIs potential to act as assistants and insights machines, boosting efficiency and innovation. Executives also leverage generative AI for idea generation and reporting.
We organize all of the trending information in your field so you don't have to. Join 80,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content