Raimo Lenschow

Olivier said inference will be the dominant workload and creates observability opportunity at every layer, from GPU infrastructure to LLM and tool calls up to agent outcomes, and noted growing adoption of GPU and agent monitoring products.

David said the guidance methodology has not changed, using observed inputs plus the commitment-and-usage model, and Olivier added they chose to fully derisk the largest customer this quarter with the same overall conservatism.

David attributed the acceleration to multiple factors: platform expansion, consolidation wins, and successful sales capacity ramp. Olivier added they are outperforming all competitors at scale and taking share.

Olivier described how customers come to Datadog to unify fragmented monitoring stacks. Highlighted that even hyperscalers with unlimited resources are now choosing Datadog over internal builds, validating the platform consolidation thesis.

Pomel explained the situation mirrors all customer lands: DIY is rarely cheaper when accounting for engineer compensation and velocity. AI natives adopt Datadog for the same reasons as all customers, just at different volumes.

Pomel described the AI native cohort as fairly representative of the space: model vendors (text, video, sound), coding assistants, infrastructure companies, and pure AI-powered applications, some new, some 5-8 years old.

Pomel outlined three layers: current infrastructure monitoring of inference apps, GPU-specific monitoring products, and a new category of observing nondeterministic AI-written applications in production.

Obstler confirmed successful execution on sales hiring with evidence of productivity through new logo production and pipeline growth, though ramping still ongoing.

Obstler explained no change in guidance philosophy; raised based on run rate with conservatism, second half unchanged due to uncertainty.

Pomel explained inference observability is still early with customers using third-party models, while running own inference stack is coming next.

Obstler cited bottoms-up evidence from geographic white space, growing channel partner contributions, and large enterprise account momentum.

Mike directly pointed to consistent 29% Atlas growth, a 300bps full-year raise, and a ~$2.3B run rate as the basis for confidence.

CJ characterized demand as modernization and AI-readiness migration, including from Postgres, rather than a pure consolidation play.

CJ said the January dot local SF event drew strong builder turnout, ~70% of them non-MongoDB users, signaling growing mindshare among AI-native developers.

Mike gave a concrete steer: non-Atlas full-year growth is ~4%, and mid-to-low single digits is a reasonable range to model for next fiscal year.

Dev credited data-driven self-serve experiments and a new motion targeting SQL developers unfamiliar with MongoDB; direct, but cautioned against declaring victory early.

Dev framed the moves as validation that the operational data store is strategic high ground for AI, and argued building organic OLTP is hard.

Mike gave a bullish read, a scaled $2B+ business growing 20%+ with 70%+ gross margin and a model with inherent operating leverage.

Serge said it is not a change in trend but a mechanical effect - a lower non-Atlas renewal base in FY26 after two exceptionally strong multiyear years.

Dev said relationships across AWS, Azure, and GCP are strong, with large deals closed and deep integrations, calling the data layer critical for AI.

Challenged on whether stronger frontier AI models threaten UiPath's deterministic workflows; Dines argued AI cannot learn on the job, so enterprises still need a governed automation harness around models.

Asked why revenue has run ahead of ARR growth and how to think about it going forward; Gupta attributed it to ASC 606 license-vs-cloud mix as more platform is sold upfront.

Direct: Ashim attributed the gap to 606 revenue timing and services mix, and said the two converge over a longer period.

Direct: Daniel said UiPath is model-agnostic, infusing agentic AI into deterministic orchestration with the auditability enterprise workflows require.

Dines said customers span the spectrum but most now see automation as essential to power agentic initiatives, which uncover more automation.

Gupta credited a consistent philosophy of guiding to pipeline and field data plus momentum from go-to-market and agentic improvements.

Sheldon McMeans (on for Raimo Lenschow) asked about consumption pricing; Dines noted the IRS already consumes Document Understanding on a consumption basis but flagged a 30-day moratorium and urged prudence.

Sheldon McMeans (on for Raimo Lenschow) asked about AI-maturity hesitation; Dines said customers now take a more moderate stance on AI, favoring pragmatic agentic value over hype.

Daniel positioned UiPath's edge in multi-system agents spanning modern and legacy apps, distinct from in-application agents built by SaaS vendors.

Brian said performance is not region-specific and all regions are operating well and factored into guidance, without giving regional detail.

Brian said there was no change to guidance philosophy; the larger beat reflected CoCo launching in the quarter (guidance is based on Observe behavior, so CoCo could only be layered in after a quarter of data) plus observed core-business acceleration now included for the full year.

Sridhar framed zero-copy sharing as a win-win keeping Snowflake the single pane of glass for customer data.

Sridhar said Europe is developing and contributing as the U.S. hunter/farmer motion is replicated.

Sridhar said Snowflake works with complex ecosystems while leaning into ease-of-use consolidation.

Sridhar said streaming and ingestion are critical areas while continuing to partner with Confluent and others.

Sridhar framed Datavolo as a connectivity multiplier bringing more data into Snowflake.

Zane clarified that contract duration has been consistent. The RPO vs CRPO growth differential is simply driven by mix, more customer base renewals (which have slightly shorter duration) versus net new deals, not a change in contract terms.

Rob highlighted European business with solid quarters, strong ASEAN growth, India market entry with initial deal closings, and Canadian business performing well. Expects organic agents to help reignite growth in customer base across Europe, Australia, New Zealand, Japan and broader Asia.

Carl highlighted all three international regions (Europe, APAC, Japan) delivered solid results, not just Europe as in prior quarters. Attributed strength to product internationalization, partner leverage, and strong talent in regional leadership.

Zane clarified the existing business guide would hold at $8.8B absent Paradox. Comfortable with the underlying outlook and pleased with execution. The $15M increase reflects Paradox contribution, with no synergies assumed.

Carl confirmed strong European logos including large German customers in competitors' backyard. Highlighted continued Japan momentum and new India market entry with dedicated president, data center, and partner ecosystem buildout.

Carl credited Doug Robinson's 14 years and noted smooth transition. Rob already traveling internationally and leveraging deep customer and partner networks. No major go-to-market changes expected.

Carl described multipronged approach: embedded AI drives win/renewal rates, standalone SKUs like Recruiter Agent and Talent Optimization command premium pricing, and upcoming agents will be priced on value delivered.

Miguel emphasized Salesforce has 40% market share in customer domain with 4,000 production customers and no competitor matching that scale and complexity.

Miguel described 20% capacity in place today finishing at 15% enabled, with pipeline growing double digits and the agentic enterprise creating exponential monetization.

Miguel cited strong pipeline growth, H2 acceleration potential, customers refilling Agentforce credits multiple times, and high confidence in next fiscal year outlook.

Marc highlighted Tableau Next built on the ADAM framework deeply integrated into Data Cloud and metadata platform, with Srini explaining the enterprise data strategy.

Marc explained Robin Washington's unique qualifications and introduced the new leadership team including Miguel Milano as CRO and expanded roles for Srini and David Schmaier.

Millham confirmed $2/conversation consumption pricing. Benioff illustrated value with a hospital call example costing $100 that Agentforce could handle for $1.50, making pricing conversations easy.