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The Enterprise-First Strategy That Worked While OpenAI captured headlines with consumer ChatGPT adoption, Anthropic quietly built an enterprise juggernaut. Developer-Led Growth at Enterprise Scale The company shows how bottom-up adoption through APIs can scale to enterprise contracts without traditional enterprise sales motions.
Both started SMB (Monday even more so), and Both have now gone more enterprise (Monday even more) But still with the vast majority of their customers SMB. Building a Partner Ecosystem : With 1,700+ app integrations (up 10x over the last 5 years) and 7,000+ solutions partners reselling HubSpot, they have built a platform, not just a product.
commercial revenue surged 71% as Artificial Intelligence Platform (AIP) gains enterprise traction Deep government/defense roots benefit from heightened geopolitical tensions worldwide Clear AI differentiation has made it indispensable for data-driven decision making How AI Led Palantir From Slow Growth (13%) to Hypergrowth (49%!)
The Enterprise-Grade Platform That Makes AI Voice Agents Actually Work at Scale We’re proud to announce that Syllable is returning as a partner for SaaStr Annual + AI Summit 2026 , following their tremendous success and impact at our 2025 event. This isn’t a demo—it’s enterprise-grade monitoring and analytics.
Their problems and needs don’t change, but the technology and solutions do. In our AI in Manufacturing eBook, you can learn how to solve your most urgent manufacturing and business needs with an enterprise AI platform. They want to increase productivity and profits.
Enterprise AI Adoption Is Happening 1000x Faster Than Cloud The Key Insight: Unlike cloud adoption, which took over a decade, AI is being embraced immediately by enterprises. Takeaway : Your enterprise customers are ready to buy AI solutions now. This democratizes enterprise sales in unprecedented ways.
Dear SaaStr: Why Do Enterprise Customers Insist on Pilots? Because so many enterprise customers won’t buy from new start-ups without a pilot. This reduces the perceived risk of adopting a new solution, especially if theyre replacing an existing system or investing significant resources.
This exceptional growth was driven by increased adoption of IoT solutions during the digital transformation accelerated by the pandemic. Despite the pandemic’s severe impact on restaurants, Toast demonstrated resilience and adapted quickly to changing market needs with contactless solutions. Indeed, it rose from $119.9m
ServiceNow (+12.3%) Datadog (+15.4%) Snowflake (+9.8%) These companies have one thing in common: Enterprises literally cannot function without them. These are supposed to be the “safe” enterprise plays. The CFO Software Audit Enterprise software budgets are getting scrutinized like never before.
Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. The buzz around generative AI shows no sign of abating in the foreseeable future.
The days of pure top-down enterprise sales are over when it comes to technical products. Don’t fall into a trap of not understanding the product enough, and overstating that your solution will improve their code overnight. Who really cares about the solution we’re providing for the problems we think we’re solving.
Veeva founder CEO Peter Gassner came to SaaStr to share just how they got to the first $100m ARR selling enterprise vertical SaaS … while raising only $3 million (!). ” His reasoning: 30 Years of Enterprise Software Experience : “I was an intern at IBM mainframe software when I was 20 years old, that was 30 years ago.
Company Snapshot: Founded : January 2014 (11 years) Current ARR : $1.09B+ (Q1 FY2025) Growth Rate : 39% YoY ARR growth, 47% revenue growth NPS Score : 80 (exceptionally high for enterprise software) Net Revenue Retention : 133% (as of Jan 2024) Customers : 2,246 customers with $100K+ ARR contracts IPO : April 2024 on NYSE (RBRK) at $5.6B
The Evolution of Vertical SaaS The shift from horizontal to vertical SaaS solutions represents a fundamental change in how enterprises buy and implement software. AI Integration : Vertical-specific AI solutions are becoming a key differentiator, requiring deep industry knowledge to implement effectively.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
Enterprise-grade capabilities are minimal. Horizon 2: Enterprise Democratization (2027-2030) TAM: $40-300B This is where vibe coding becomes transformational rather than just convenient. Success depends on maintaining the simplicity advantage while adding enterprise capabilities. Security vulnerabilities are well-documented.
And when it IPO’d, it was still solidly an SMB solution. Today it’s a very enterprisesolution, solving much bigger problems. Leaning More into Free Even as it goes more enterprise, and see a decline in SMB / Commercial accounts, PagerDuty is still leaning in more on Free. As has PagerDuty.
How Canva’s CCO Built a $7B Enterprise Motion While Preserving PLG Culture Rob Giglio, Canva’s Chief Customer Officer, shares the playbook for scaling from 170M to 230M monthly active users while building enterprise sales without compromising company culture. Top 5 Takeaways 1.
It’s tough to spend even $1m a year effectively on most digital spend for most categories of B2B software: Putting aside Unicorns and folks that have raised monster rounds, in my experience, most enterprise SaaS companies struggle to deploy more than $40k-$50k a month on Adwords effectively. Do those, too.
When customers desperately need your solution, your CAC decreases because they seek you out and move quickly through your funnel. By tracking and targeting diverse industries from day one (even pre-revenue), they discovered that solutions developed for one vertical would spark demand in seemingly unrelated industries.
When Lindsey joined, she inherited an already built-out self-serve/PLG model for small businesses and a mid-market and enterprise sales, customer success, and post-sales team. But at the start of its expansion play, Checkr’s enterprise motion failed, and sales cycles were slow, taking up to a year for $100k & up deals.
Enterprise-focused companies with usage-based pricing bore the greatest increase at 44%. Often, a straight UBP pricing model doesn’t scale into the enterprise. This behavior is commonly observed with luxury goods, but it also manifests in SaaS sales processes, particularly for enterprise customers.
Julie Iskow, CEO of $600m+ public SaaS leader Workiva joined Norwest Venture Partners Sean Jacobson at SaaStr Annual for a deep dive on going More Enterprise. Just look at the numbers: Enterprise customers bring 95%+ best-in-class retention vs. 85% in mid-market. Waiting too long to start their enterprise planning.
In April, Thoma Bravo agreed to acquire Boeing’s Digital Aviation Solutions unit for $10.55 2025 is shaping up to be a stronger year for PE + Corporate M&A SaaS deals , with Q1 alone seeing 210 enterprise SaaS M&A transactions totaling $29.1 ” The Bigger Picture This deal is part of a broader pattern.
Build the infrastructure that makes your solution sticky and creates natural expansion opportunities. Make your product the center of a larger ecosystem, not just a point solution. Once developers learned CUDA and game studios optimized for GeForce, moving to competitors became painful.
They provide a comprehensive solution that automates cloud infrastructure management, enabling development teams to deploy, scale, and manage applications without the traditional DevOps overhead. Their expertise and solutions directly address the pain points our community faces daily.
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.
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. The Price War : Google’s Gemini 2.5
This is a classic enterprise SaaS challengebalancing the need to close big deals with the risk of overextending your team on custom work. Charge for It, Generally : If custom features or integrations are a pre-requisite for enterprise deals, customers are often OK paying. When Do We Say Yes? So try to monetize them.
Several macro factors are converging to create this perfect storm: Enterprise Budget Scrutiny : CFOs are demanding higher ROI thresholds for software investments. AI Disruption Anxiety : Companies are hesitating to invest in traditional SaaS solutions while waiting to see how AI will reshape their operations.
What “Working” Means in the Era of AI Apps: The New Enterprise Benchmarks That Matter One of the most common refrains in the generative AI era is that “startups are growing faster than ever” — often with fewer resources. But for the average enterprise AI company (not the top 0.1%), what does growth really look like?
Enterprise data is the differentiator: While public data dominates foundation models, enterprise-specific data represents less than 1% but delivers exponentially more value when properly leveraged. cost savings, 35% time savings The Partner Ecosystem Play IBM isn’t going it alone.
Salesforce charges $2 per solution for AgentForce on top of $250/month or more per seat. Even leaders like Canva that were always cheap raised prices dramatically for their enterprise edition. Right now, many vendors are looking for AI in SaaS to be, in essence, inflationary. To charge even more for resolutions, for actions.
To supplement our Core product and provide an even higher level of functionality, we offer our Pro products, which provide value-additive capabilities such as Marketing Pro, Pricebook Pro, Dispatch Pro and Scheduling Pro, as well as our FinTech products, which include payment processing and third-party financing solutions.
This consumer base provides: Brand recognition : ChatGPT has become synonymous with AI for many users Data flywheel : Millions of interactions improve model training Market validation : Consumer enthusiasm drives enterprise interest Revenue diversification : Both subscription and API revenue streams Anthropic’s Enterprise-First Approach Anthropic (..)
The Audit Imperative The solution isn’t to abandon AI in sales. The ROI on this review time is massive when you’re targeting enterprise accounts or key strategic partners. If you’re positioning yourself as an AI-powered solution, getting basic facts wrong is exponentially more damaging.
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 answer today is: very few. But that could change rapidly as AI tooling improves and more case studies emerge.
“Some teams consistently sold more enterprise SKUs, others had high volume but low ACV. Implementing a framework and criteria for product and pitch certification with your frontline managers will ensure prospective customers better understand the solution they’re buying. Sales methodology reinforcement.
The Deceleration Evidence Ramp’s card spend data reveals several concerning trends that suggest the AI adoption curve is indeed slowing: The growth rate from Q4 2024 to Q1 2025 was significantly lower than previous quarters, even accounting for typical seasonal variations in enterprise spending. ROI scrutiny is intensifying.
Enterprise-Grade at Scale Major companies like Zillow and HubSpot use Replit for production systems. One enterprise customer built a customer routing system that handles thousands of requests daily—all without traditional development. We’re grateful, and we’re just getting started.
Sometimes months for complex products or enterprise sales cycles. The AI generates solutions quickly while humans verify the output. But only if you treat them like the sophisticated tools they are, not like magic solutions to all your sales problems. response rates. Master one use case completely before expanding to others.
Thread AI’s founder and Palantir alum Maya Gonimah has cracked the code on enterprise AI implementation through their strategic partnership with Google Cloud. With experience dating back to 2015 with Google products, he specializes in connecting enterprises with the right tools and teams to make their AI initiatives successful.
Forward deployed engineers (FDEs) are the new customer success managers, the new solutions architects. OpenAI has offered consulting services as well as Anthropic for custom enterprise deployments. Anthropic builds specialized enterprise implementation teams. Sierra employs agent engineers. Palantir created this model.
A 30-60 day notice is standard, but for larger enterprise customers, you might want to give even more time. Listen to their concerns, and if necessary, offer temporary discounts or custom solutions to ease the transition. Customers appreciate honesty, and it helps build trust. Give Advance Notice. No Surprises.
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