Dylan Becker

Sanjit credited strong product-market fit with large enterprises digitally transforming complex physical operations. Direct.

Sanjit said Samsara is experimenting with pricing for operational AI, SKU-based for waste intelligence, a data-product model for ground intelligence, and agents in beta.

Sanjit answered directly: focus stays on large, ready-to-digitize North America and Western Europe markets.

Sanjit answered directly: platform expansion widens value areas; customers already realize ROI within a year (8x ROI cited).

Sanjit said most public-sector physical operations sit at the state and local level, where customers share win stories, building momentum; it is a SLED, not Fed, opportunity.

Dominic cited an unchanged conservative guidance philosophy plus bookings linearity from Q1 deals closing early in Q2, a dynamic not recurring into Q3.

Sanjit agreed customers facing pricier procurement and changing lead times are driving up utilization and extending asset lifespan, which Samsara enables.

Sanjit said data density aids new-product coverage and operational visibility; still low-double-digit penetrated with a decades-long runway to go broader and deeper.

Sanjit said international market share is still low single digits with growing awareness and more market-specific features, but remains early.

Peter said faster, more accurate implementations make the applications more valuable and predicted a renaissance for tech-enabled specialized services.

Peter explained CROs would OEM Veeva technology for their biotech customers. A big study could be $500K-$1M in technology. Three major study-by-study products: EDC, RTSM, and eCOA. Not new products but a new go-to-market focus and operating model.

Peter described the puzzle-piece advantage: each new Veeva product fits with existing ones, sometimes providing unplanned synergies. Drew analogy to Microsoft desktop, customers see things fit together and value that alignment. Right to win comes from operating model and discipline.

Peter said customers are excited about safety architecture and AI overlay but very hesitant to change safety systems due to critical nature. Still in early customer phase, hoping for middle majority in a couple of years. Eight-year R&D investment creates competitive moat.

Peter described Veeva as building an industry cloud with three integrated capabilities: software, data, and consulting. Customers prefer Veeva as general contractor over 100 different vendors. Unique approach no other vendor has tried.

Paul revealed nine top 20 committed (seven public + two verbal) vs Salesforce at three. Veeva wins become near-certainties; Salesforce wins require years of custom work with low completion probability. All three Salesforce wins have Veeva as contingency plan.

Peter described structural advantage of ~50 deep applications on one platform. AI agents embedded in user workflow like Google has advantage in email AI. MCP enables cross-vendor agent interoperability.

Paul highlighted Service Center, Campaign Manager, and patient CRM as uniquely enabling customer centricity in one database for the first time in life sciences.

Neil cited system-of-record position, data, workflow depth, regulated-market trust, network effects and distribution as the moat.

Jason said strong start but only one quarter in. Q2 AS nonrecurring slightly more impacted, TEP comping high watermark. Second half improves with SubSplash and CentralReach turning organic plus easing AS comps. All blends into holding 5-6% range.

Neil described three monetization paths: consumption-based for businesses like SoftWriters and Convoy where customer unit economics are consumption-driven, subscription plus overage for broader portfolio to balance adoption with budget predictability, and AI features embedded in cloud to pull conversions. Jason added CentralReach is furthest along, pricing AI per learner.

Neil ranked bolt-ons first for organic growth advancement plus back-office synergy. Noted 60% of bolt-on pipeline is proprietary/founder-driven, completely new motion. Platform side has enormous pipeline with high-quality assets but valuation is the open question.

Jason explained Deltek putting AI functionality into cloud product is driving conversion consideration. Neil added no pronounced J-curve expected because on-prem base converts at 2-3x recurring, offsetting net new perpetual-to-recurring conversions.

Neil cited high teens bookings as evidence of healthy end markets. Emphasized less macro-sensitive verticals (education, legal, insurance, healthcare) and unprecedented AI opportunity.

Neil explained payments opportunity is software-led across ProCare, Subsplash, and Transact. Emphasized it's coincidental, not thematic. ALCO is different, AI-native factoring for carriers.

Management pointed to revenue as the direct output of product, data and model quality; direct.

Management confirmed the framing and noted ex-ironSource Grow grew double digits sequentially; direct.

Management described AI as central to both Create and Grow via the platform's data; direct.