Philip Moyer

Today, we’re announcing that dbt Labs has acquired SDF Labs to power the next generation of dbt developer experiences. Read all about it here: https://lnkd.in/e2bVi2MF Over the past 8 years, we have been on a mission to empower data practitioners to create and disseminate organizational knowledge. During that time, we’ve seen two things happen: 1. dbt has become the standard for data transformation 2. The expectations for what it means to have a great developer experience have risen dramatically When we started building dbt in 2016, the idea of developer experience for data practitioners … didn’t even really exist. It was manual sql scripts, ad hoc reports and things like that. Today, the world is different. Data teams operate like software engineering teams and as such, they expect the types of experiences that modern software development workflows have afforded us. SDF has built this - and we believe it’s going to be the perfect complement to your existing dbt workflows. Things like: ⏰ Tooling built in Rust for dramatically faster run times: We’re big fans the way Astral has brought Rust-based tooling to the Python ecosystem. SDF is built on Rust; anticipate dramatically faster runtimes in dbt as we integrate SDF’s technology. 📚 Best in class SQL comprehension: SDF’s technology goes beyond naive sql parsing, with an understanding of column types and the ability to generate faithful logical plans. 🧤 Reasoning on your metadata: Based on Information flow theory (https://lnkd.in/eiG-Xe9p)) SDF actually understands what your data is and how it flows through your system - allowing you to verifiably ensure data quality and privacy. These are hard technical problems that the SDF team has been able to solve due to their deep experience building data systems at the most complex data orgs on the planet (think: Meta and Microsoft). Over the coming months, we’re going to be bringing this technology into dbt. The best news is while these will dramatically improve the experience of dbt developers and provide new ways for you to bring value to your organization, it will look and feel like the dbt you know and love. Think of this as taking the skills and the knowledge that dbt users have built up over the past 8 years, making it faster, making it more context-aware, and giving you access to improved tooling. I'll have tons more to say in the coming weeks about the specifics of the integration and what this means for the future of dbt. In the meantime, I’m looking forward to hearing from all of you what you’d like to see out of this next phase.

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Today, I’m excited to announce major contract wins deploying our Veritone Data Refinery (VDR) with leading hyperscalers and venture-backed AI model developers. With these recent VDR contract wins, Veritone’s near-time VDR pipeline and recent bookings total nearly $40 million, an increase of 100% from August 2025, including both commercial and public sector customers. Our VDR solution addresses one of the most critical challenges in AI today: transforming vast amounts of unstructured data into actionable, license-ready datasets. This is the foundation of the next era of cognitive and generative AI innovation, and Veritone is uniquely positioned to lead this charge. These wins are a testament to our team’s commitment to building trusted partnerships across industries and accelerating the AI revolution. We're looking forward to sharing more insights during our Q3 earnings call this November. Read more: https://lnkd.in/gXpyMxeR

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MIT just published a State of AI in business 2025 report. Worth a read, tl-dr: "For organizations currently trapped on the wrong side, the path forward is clear: stop investing in static tools that require constant prompting, start partnering with vendors who offer custom systems, and focus on workflow integration over flashy demos."

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Shipping today: Cartesia’s Ink-Whisper on Vapi. Latency is critical. Slow STT ruins conversations. With Ink-Whisper, just one line in your Vapi config gets you: - Faster, streaming-optimized transcripts - Better handling of background noise and accents Read more: https://vapi.sh/u4KRN67

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LLMs alone aren’t enough to scale agents in the enterprise. What makes agents reliable isn’t just model quality—it’s the system around them. We’ve learned that high-quality search is foundational not only for grounding agents in the enterprise context but also for mapping process knowledge, personalizing agents, and scaling agents usage of enterprise tools and workflows. Here’s what that system looks like at Glean: • Grounding agents in relevant, authoritative knowledge: Autonomous agents raise the bar — they can’t rely on outdated or incorrect knowledge. They need precise, task-aligned, enterprise-specific context. Knowledge bases alone aren’t enough — this challenge requires high-quality search. • Personalizing agents for each enterprise: Every organization works differently. We analyze usage to learn how work actually happens, then surface relevant, customer-specific examples to guide agent design. • Creating agents that understand how enterprises work: We’ve observed how Glean users progress from simple Assistant queries to more complex, agentic workflows. We’ve grouped these into distinct query classes — such as enumeration (“list all Jira tickets assigned to me”) or people-seeking (“who’s my manager’s manager?”). These classes help us guide agents in how to interpret intent and execute real work. • Scaling evaluation with LLM judges — For every query class, we build eval sets from real usage and design task-specific LLM judges. But building a judge isn’t enough — it must produce consistent results across similar inputs. Consistent, scalable evaluation is a precursor to agents tackling real work in the enterprise. We’re excited to keep pushing the boundaries of what agents can do at work. A huge credit to the team behind our agentic reasoning engine — every part of it is purpose-built for enterprise AI.

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We founded Row64 to help enterprises process, understand, and act on today's high volumes of rapidly changing data, allowing leaders to make decisions with clarity and confidence. I’m excited to share that Row64 has raised a $4 million seed round led by Galaxy Interactive, with additional participation from Differential Ventures and Alumni Ventures, to do just that. The round builds on the momentum started by our innovative angels Anorak Ventures, Pathbreaker Ventures, Mana Ventures, Verissimo Ventures, Gaingels, Michael Stoppelman, Marc Petit, Paul Trinh, Gert Lanckriet, Reza Behforooz, Tim Converse, Jonathan Wilson, Jeff Wilson, and fueled by the early customers who share our vision. In today’s fast-paced environments, waiting days or hours to answer critical business and operational questions isn’t enough. Executives need information when it matters the most. Row64 is the only real-time business intelligence platform delivering interactive visual analysis of massive datasets. It allows businesses to react faster to changing conditions and seize opportunities when it matters most. Read more at https://lnkd.in/e55AqHN8. I'm grateful to be building the future of business intelligence alongside two incredible co-founders, Michael Isner and June Isner. I couldn't be prouder of the work they and the entire Row64 team have done thus far, and we are only getting started. 

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Today, AI model improvements depend a great deal on expert human data. Fun #NoPriorsPod with Brendan Foody founder Mercor on - how to identify outlier talent - the data we need - the future of the labor markets - verifiability, evals - if we can capture “taste”

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CoreWeave falls 20% a day after reporting market-beating revenue for its second quarter and offering upbeat guidance for the future. IMO it’s a sign that just raw compute (capacity) vendors won’t have huge margins in the long run and market is getting educated on that fact. Mainly its ‘capacity’ vs ‘capability’ discussion. Or is it? Shashi Bellamkonda David Vellante John Furrier Crawford Del Prete David Floyer

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The team at OpenComp pushed a very significant release today, one that easily allows for the import of 3rd party market data sources. This feature now allows #compleaders to easily compare multiple data sources that are aligned to either roles or employees. Bravo to Noah Bennett, Eric Wang, Conor Devine, Renu Mathia and Daniel Solberg. For all the #companalysts and #totalrewards leaders out there, we invite you to check it out at https://lnkd.in/g_yAgEPS

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We are happy to announce, we’ve raised an additional $30 million to scale Simetrik’s AI reconciliation platform across the U.S. and high-growth markets. This brings our Series B to $85 million, led by Goldman Sachs Asset Management, and joined by our incredible partners: FinTech Collective, COMETA, Moore Capital Management, Monashees, and Upload Ventures. Why the momentum? Because finance teams everywhere are facing the same reality: ◆ Fragmented systems ◆ Exploding transaction volumes ◆ Tightening regulations ◆ And legacy reconciliation tools just can’t keep up At Simetrik, we’re changing that: ✅ Automating 100% of reconciliation workflows with no-code AI ✅ Delivering real-time alerts—so discrepancies don’t become disasters ✅ Standardizing financial data for forecasting, audit, and innovation ✅ Reconciling 1B+ records daily across 40+ countries We’re not just helping companies catch up—we’re helping them leap forward. This milestone wouldn't be possible without our incredible team, investors and customers. ➡️ Read more here: https://lnkd.in/e3iwXS6Q

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Just rewatched Paz's presentation at CMX — one of the more thoughtful breakdowns I’ve seen on scaling community. She shared how she used Intros AI 🤝 to automate different types of member introductions, making it easy to create meaningful connections without manual coordination. One line stuck with me: “We connected hundreds of people across 12 countries in minutes.” As community building evolves, so should our tools. Automating logistics isn’t about removing the human — it’s about making space for deeper, more intentional engagement.

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