Two software IPOs reopen a window the market called shut
Entrata and Liftoff filed the same week Josh Bersin warned enterprise AI prices are only going up.
This Week’s Strategic Signals for B2B AI & SaaS Executives
Capital & KPIs: Entrata and Liftoff filed to go public within 48 hours, the first real test that software's IPO window has reopened.
Enterprise Buyer Behavior: Anthropic's Claude Compliance API piped AI activity into 28 security platforms, turning the toughest procurement gate into a connector.
Product & AI Bets: Josh Bersin argued the AI buildout needs a trillion dollars a year in new revenue, so prices climb.
Moats & Models: Coupa bought Rossum and Tonkean inside ten days, assembling a single contract for autonomous procurement.
Some sections also include ‘other signals on our radar.’ Write back and let us know if you’d like to see more details on any of those.
The Stack is a weekly intelligence brief for B2B AI & SaaS executives, delivering high-impact developments shaping the B2B AI and software space: what happened, why it matters, and what to do about it. It is designed for product, engineering, GTM, marketing, sales, partnerships, and corporate strategy teams at SaaS companies, AI labs, and platform vendors. Each issue distills complex shifts into decision-grade insight.
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1. Capital & KPIs
Capital and KPIs Two Software IPOs Land in One Week, and the Exit Window the Market Called Shut Cracks Open
What Happened
On May 28, 2026, Entrata, a Silver Lake controlled property management software company in Lehi, Utah, filed its S-1 reporting Q1 2026 revenue of $143.5 million, up 23% year over year, and net income of $23.3 million. Goldman Sachs, J.P. Morgan, and Barclays are leading the roughly $500 million offering, with an NYSE listing under ticker ENT. On May 29, Liftoff, a Blackstone backed AI-native mobile advertising platform, relaunched its IPO roadshow with 19 million shares at $20 to $22, implying a valuation up to $3.66 billion and proceeds up to $418 million, led by Goldman Sachs, Jefferies, and Morgan Stanley, with pricing expected the week of June 1.
Why It Matters
Our May 18 issue noted no venture backed SaaS unicorn had filed for a U.S. IPO year to date against 20+ in 2021, and our April 20 issue documented SaaS public multiples compressing from 7.0x to 5.5x EV/revenue after January's Claude Cowork launch. Liftoff scrapped its earlier 2026 launch and is now back. Entrata and Liftoff arriving in the same week, both drawing top tier banks, is the first empirical signal the IPO window is reopening after a multi-year drought.
Implications
For founders and investors in scaled SaaS, the operative detail is composition: both archetypes are getting bid up at once.
Entrata represents the classic vertical SaaS story, property management, private equity owned, and profitable.
Liftoff represents the AI-native advertising infrastructure archetype, where investors must price disruption risk against AI growth.
The bifurcation is concrete information about which exits are actually available right now in 2026.
For corp dev teams, mark both deals as live comparables for any portfolio company weighing a 2026 listing.
Watch Liftoff’s pricing the week of June 1 as the cleaner read on whether public investors will pay for AI-native revenue or still discount it.
Other Capital & KPIs Signals on our Radar:
Snowflake reports re-accelerating growth and commits $6 billion to AWS
On May 27, 2026, Snowflake (NYSE: SNOW) reported first quarter fiscal 2027 product revenue of $1.334 billion, up 34% year over year, with total revenue of $1.39 billion and adjusted earnings per share of $0.39 against a $0.32 consensus. Net revenue retention rose to 126% from 125% the prior quarter. The company raised full-year product revenue guidance to $5.84 billion, signed a five-year, $6 billion commitment to Amazon Web Services covering Graviton chips and AI workloads, and agreed to acquire Natoma, an enterprise Model Context Protocol (MCP) governance platform. Shares rose more than 33% in after-hours trading following the report.
Salesforce Agentforce annual recurring revenue reaches $1.2 billion
On May 27, 2026, Salesforce (NYSE: CRM) reported first quarter fiscal 2027 revenue of $11.1 billion, up 13% year over year, with a record non-GAAP operating margin of 34.8%, up 250 basis points year over year. Agentforce annual recurring revenue (ARR) reached $1.2 billion, up 205% year over year, and combined Agentforce and Data 360 ARR reached nearly $3.4 billion, including roughly $1.1 billion from the Informatica acquisition. Salesforce delivered 3.8 billion Agentic Work Units to date and processed 28.6 trillion tokens, up 152% quarter over quarter. Free cash flow was $6.6 billion, and the company raised full-year revenue guidance to a range of $45.9 billion to $46.2 billion.
We regularly publish insights that go beyond reporting to help B2B AI and SaaS leaders make informed decisions as expectations, technology, and market dynamics continue to evolve.
2. Enterprise Buyer Behavior
Behavior Anthropic's Claude Compliance API Turns the Hardest Procurement Gate into a Connector
What Happened
On May 21, 2026, Anthropic released the Claude Compliance API, integrating Claude Enterprise with 28 security and compliance platforms including CrowdStrike, Microsoft Purview, Okta, Wiz, Cloudflare, and Palo Alto Networks. The API exposes two data streams. The first is conversation content from Claude Enterprise (chats, uploaded files, project contents) that DLP tools can scan against existing classification rules. The second is activity event logs covering authentications, admin actions, and configuration changes for SIEM and identity platforms. On May 20, Cloudflare extended the API with a Cloud Access Security Broker integration, letting security teams monitor Claude Enterprise usage inside Cloudflare Zero Trust, trigger DLP policies, and restrict access without endpoint agents.
Why It Matters
The biggest friction in enterprise AI procurement is the security and data governance review, the most reliably elongating stage of the buying cycle. AI procurement has been stretching to six to nine months because security teams cannot answer where LLM data goes or whether existing DLP and SIEM policies extend to AI conversations. The Compliance API attacks that friction by piping Claude activity into tools enterprises already run, extending the agentic governance thread our May 18 issue opened.
Implications
For CIOs and procurement leads, the evaluation question shifts from whether deploying Claude is a risk to whether the Compliance API key has been connected yet.
Map your DLP, SIEM, and identity coverage of Claude usage now, before the Q3 renewal cycle.
Competing model vendors without equivalent compliance infrastructure face harder procurement conversations as governance integrations become baseline.
Native governance integrations are now a baseline requirement, not a differentiator, in enterprise AI evaluations.
For security adjacent SaaS vendors, the Cloudflare CASB move is the template: once the API exists, the ecosystem can build governance products on top in days.
Other Enterprise Buyer Behavior Signals on our Radar:
EU AI Act high-risk requirements take full effect August 2
The European Union AI Act's high-risk application requirements take full effect on August 2, 2026. Enterprises deploying autonomous AI agents for fraud detection, credit decisioning, human resources automation, or regulatory reporting must demonstrate technical documentation covering decision logic, structured human oversight with defined intervention points, and control mechanisms to stop or override agent operation. As of May 2026, procurement teams in Europe and at United States vendors selling into regulated EU sectors are inserting contractual clauses demanding disclosure of AI sub-processors, jurisdiction of AI processing, Data Privacy Framework contingency plans, and conformity posture under Annex III. Violations carry fines of up to 35 million euros or 7% of global annual turnover.
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3. Product & AI Bets
Josh Bersin's Cost Curve Argument: A Trillion Dollars a Year, So AI Prices Climb
What Happened
On May 26, 2026, Josh Bersin published an analysis arguing AI pricing is set to rise structurally. The Big Four hyperscalers (Amazon, Alphabet, Microsoft, Meta) spent $370 to $410 billion on AI infrastructure in 2025. With Oracle, CoreWeave, and xAI, the builder universe runs at $500 billion annualized, moving to $700 to $750 billion in 2026, with chips and memory pushing 2026 toward $1 trillion. To earn a 15% compound return at five-year depreciation, the ecosystem needs above $1 trillion per year in new incremental revenue. Bersin's conclusion: AI tools are getting more expensive, and vendors will pass compute costs through rising per-seat fees, consumption charges, or tier increases.
Why It Matters
The prevailing assumption that AI features would commoditize and ease ASP pressure collides with Bersin's infrastructure math. If hyperscaler capex is $500 to $750 billion per year and must be recouped, AI features embedded in SaaS carry rising inference costs vendors cannot absorb at current margins. This advances our May 4 coverage, where The SaaS CFO put AI inference at 23% of revenue for AI-shipping companies, and ServiceNow's GAAP gross margin fell from 79% to 75% year over year.
Implications
For product and pricing leaders, vendors pricing AI on per-seat or flat-rate subscriptions face gross margin compression as usage scales.
Vendors who shift to outcome-based or consumption-based models, where revenue scales with usage, can protect margins.
Model your cost per thousand AI requests at two and five times current usage before the next pricing decision, not after the first earnings call where the number surfaces.
For procurement leads and CIOs, treat Bersin’s analysis as a 12-month leading indicator for budget planning.
2027 AI tooling budget assumptions should be set materially higher than today’s invoice, not flat.
Multi-year agreements should carry consumption caps or committed-use drawdowns with overage protection.
Other Product & AI Bets on our Radar:
Workday says agentic AI revenue approaches a $500 million run rate
On May 21, 2026, Workday (NASDAQ: WDAY) reported first quarter fiscal 2027 total revenue of $2.542 billion, up 13.5% year over year, with adjusted earnings per share of $2.66 against a $2.51 consensus and a full-year non-GAAP operating margin forecast lifted toward 30.5%. More than 4,000 enterprise customers now use at least one Workday-built AI agent, a figure that more than doubled quarter over quarter, and annualized revenue from agentic AI solutions is approaching $500 million, President of Product and Technology Gerrit Kazmaier said on the earnings call. Deals that included AI components were more than 50% larger on average, and over 25% of new expansion contract value in the quarter included at least one AI component. Co-founder Aneel Bhusri has returned as chief executive officer, succeeding Carl Eschenbach.
ServiceNow and Salesforce extend the enterprise AI control layer contest
At Knowledge 2026 in May, ServiceNow (NYSE: NOW) launched Otto, combining Now Assist, the acquired Moveworks, and its AI Experience layer, and made its Model Context Protocol (MCP) Server generally available through Action Fabric, opening governed enterprise workflows to external agents built on Claude, Microsoft Copilot, or customer-developed stacks. Salesforce’s first quarter fiscal 2027 results confirmed 28.6 trillion tokens processed and 3.8 billion Agentic Work Units delivered across Agentforce and Slack. ServiceNow also launched Autonomous Security and Risk, integrating the acquired Armis and Veza, and expanded its AI Control Tower into a broader governance product covering discovery, observation, governance, security, and measurement of AI across enterprise systems.
4. Moats & Models
Coupa Buys Rossum and Tonkean Inside Ten Days, and Procurement Suite Consolidation Goes Live
What Happened
On May 12, 2026, Coupa announced the acquisition of Rossum, an intelligent document processing company. On May 21, Coupa announced its acquisition of Tonkean, an Israeli founded agentic intake and orchestration platform with a no-code process builder and 250 native connectors. Tonkean integrates into Coupa's platform and Navi agent fleet. Tonkean is Coupa's fourth strategic acquisition under its autonomous spend management initiative, after acquiring Cirtuo, Scoutbee, and Rossum. Coupa, taken private by Thoma Bravo in an $8 billion deal in 2023, frames the architecture, built on $10 trillion in spend data across 3,500-plus buyers and 10 million suppliers, as an agentic trade network for autonomous procurement, invoicing, and supplier transactions.
Why It Matters
Two acquisitions in ten days on one arc, autonomous procurement, is a deliberate suite assembly strategy: buy the best AI in each functional layer, integrate, and price the outcome as a single contract. This extends our May 18 Deel/Sastrify thread. The competitive pressure on point solution vendors in procurement and supply chain is real: when one platform can offer document processing, supplier intelligence, agentic intake, and spend analytics in a single renewal, the CFO's consolidation logic becomes hard to resist.
Implications
For point solution founders in procurement, intake, and sourcing, audit your defensibility against the Coupa bundle now.
If your value compounds in a workflow Coupa cannot easily replicate, you survive; if not, the strategic question is timing and exit terms, not product roadmap.
For corp dev teams, Coupa’s M&A tempo signals that private equity backed platform players are the most aggressive buyers in vertical SaaS right now.
The specific preference is AI-native point solutions that can be absorbed into suite value, which sharpens which targets get bid up.
For CIOs and procurement leads, run the Coupa agentic trade network through your next renewal as a comparison point, even if you do not use Coupa today.
The bundle resets the price benchmark for the procurement category, so failing to run the comparison leaves money on the table.
Other Moats & Models on our Radar:
Cloudflare and Anthropic pair infrastructure with the Claude Compliance API
On May 19, 2026, Cloudflare (NYSE: NET) announced Cloudflare Environments for Claude Managed Agents, letting organizations run core agent loops on the Claude platform while using Cloudflare's global network and Workers developer platform for code execution, private connections, and specialized tools. On May 20, Cloudflare extended its Cloud Access Security Broker (CASB) to support the Claude Compliance API, enabling enterprise monitoring of Claude activity inside the Cloudflare Zero Trust dashboard. On May 21, Anthropic released the Claude Compliance API with 28 security platform integrations. The three announcements present enterprises with a governed, deployed, observable AI agent system without requiring them to stitch the components together independently.
Seat-based and consumption pricing divergence shows up in May earnings
Across the May 2026 earnings cycle, vendors split between absorbing AI costs into subscriptions and passing them through consumption models. Salesforce prices Agentforce on Flex Credits, at $500 per 100,000 credits with actions consuming credits, Workday is embedding AI into expansion contract value rather than per-agent seats, and ServiceNow included its Model Context Protocol (MCP) Server in the Assist currency already in customer contracts. Gartner forecasts that 70% of businesses will prefer usage-based pricing over per-seat models by the end of 2026, and IDC forecasts 70% of vendors will move away from pure per-seat models by 2028. HarbourVest analysis documented the margin math, noting that on a per-interaction basis, a small cost per request can erase a $5 cost buffer.
Our analysis is designed for strategy, product, and executive leaders at SaaS companies, AI labs, and platform vendors navigating the shift to AI-native software.
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The Intelligence Council publishes sharp, judgment-forward intelligence for decision-makers in complex industries. We publish weekly briefs, deep dives, competitive intelligence briefings, and analytical reports designed to sharpen competitive judgment and expose blind spots before they become strategic risks. No puff pieces. No b.s. Just the clearest signal in a noisy, complex world.
Our content for B2B AI and SaaS spans capital and KPIs, enterprise buyer behavior, product and AI bets, and moats and models. From market sensing to go-to-market clarity, we deliver the strategic signals leaders need to move first and act confidently.
