Guidance and largest customer dynamics

Q: Sanjit Singh from Morgan Stanley asked if Q4 guidance assumptions changed regarding the largest customer or cohorts.

A: David Obstler (CFO) explained that the largest customer renewed in Q3 and spent above the minimum commitment, but guidance only includes the minimum. Olivier Pomel (CEO) added that some large customers renewed early, which creates short-term revenue headwinds but is positive for long-term growth.

Q: Gabriela Borges from Goldman Sachs asked how to model sequential growth given the AI cohort dynamics and early renewals.

A: David Obstler noted that the largest customer is at minimum commitment, and Olivier Pomel stated the AI cohort is broadening, which will bring more stability over time. David Obstler also noted Q4 has seasonality due to the late December effect.

Q: Samik Chatterjee from JPMorgan asked how much of the Q3 beat was due to the largest customer.

A: David Obstler stated they do not provide specific breakdowns, but spending above the minimum is an implicit beat. Olivier Pomel confirmed assumptions remained unchanged.

Q: Kirk Materne from Evercore ISI asked if early renewals create volatility in sequential guidance.

A: David Obstler acknowledged small variations in revenue timing but noted this is standard practice for the company.

Q: Alex Zukin from Wolfe Research asked how to model the largest customer for 2027.

A: David Obstler said they will provide more details on the year-end call.

Non-AI customer growth and AI impact

Q: Sanjit Singh from Morgan Stanley asked if the acceleration in the non-AI cohort is sustainable.

A: Olivier Pomel expressed confidence in a long period of growth as these customers adopt AI and cloud technologies.

Q: Raimo Lenschow from Barclays asked if early renewals create a headwind.

A: Olivier Pomel confirmed that while early renewals involve account optimization, they occur against a background of strong customer growth.

Q: Raimo Lenschow from Barclays asked if AI is changing the evolution of the non-AI business.

A: Olivier Pomel explained that customers are shipping more code, which increases pressure on CI and deployment, driving adoption of CI products.

Q: Karl Keirstead from UBS asked if enterprise spending behavior is changing due to token costs.

A: Olivier Pomel noted that token costs are a widespread problem driving demand for Cloud Cost Management, but early renewals are driven by business growth rather than budget pressure.

Product adoption and AI monetization

Q: Joel Omino from Citi asked about drivers of performance and investment posture.

A: David Obstler stated the company is investing aggressively in go-to-market and R&D to capture market share.

Q: Joel Omino from Citi asked about Bits AI penetration.

A: Olivier Pomel described it as the strongest product launch in company history and noted they have revamped packaging to use AI credits.

Q: Kirk Materne from Evercore ISI asked about the attach rate on early renewals.

A: Olivier Pomel noted broader product adoption compared to five or six years ago, and David Obstler confirmed renewals are at higher commitment levels.

Q: Peter Weed from Bernstein asked about Bits AI Scout monetization.

A: Olivier Pomel explained they use an AI credits model that stays close to inference costs to allow for scaling.

Q: Alex Zukin from Wolfe Research asked if agent observability is driving demand for Traces and about cybersecurity plans.

A: Olivier Pomel noted growing demand for agent observability and that the security platform is landing alongside observability.

AI training and infrastructure

Q: Samik Chatterjee from JPMorgan asked about average land size for new customers.

A: David Obstler noted an increase due to platform adoption, and Olivier Pomel highlighted new segments like the U.S. government and Japanese banks.

Q: Matt Hedberg from RBC asked about the AI training opportunity.

A: Olivier Pomel stated it is growing and moving beyond just Frontier labs, though it is still early.

Q: Matt Hedberg from RBC asked about the largest customer's long-term use cases.

A: David Obstler stated they do not project specific use cases but acknowledged many exist.

Q: Koji Ikeda from Bank of America asked about infrastructure monitoring growth.

A: Olivier Pomel clarified that growth is broad-based and not solely related to AI or GPUs.

Q: Patrick Colville from Scotiabank asked about proprietary versus open weight tokens.

A: Olivier Pomel explained that a mix of models is used and that margin impact depends on the level of differentiation.