WisdomAI is a San Mateo-based enterprise software company building a new category it calls agentic analytics. Founded in 2023 by a team of former Rubrik engineers, its platform lets business users ask questions of their structured, unstructured, and even messy data in plain language. Rather than letting a language model write answers (where it might hallucinate), WisdomAI uses LLMs only to generate the queries that pull real data from warehouses like Snowflake, Databricks, and BigQuery. An Adaptive Context Engine governs metrics, definitions, permissions, and business logic so insights stay accurate and consistent. The company has raised $73M total and grown from two enterprise customers to roughly 40, including Cisco, ConocoPhillips, Patreon, and Descope.
Zenlytic is a New York based AI analytics company behind Zoe, an AI data analyst that answers complex business questions in plain language and returns verifiable, source-cited results. By pairing large language models with a governed semantic layer, Zenlytic lets non-technical teams self-serve trustworthy analytics from warehouses like Snowflake, BigQuery and Databricks, generating dashboards, presentations and models without a data team in the loop.
Reza Zadeh is the founder and CEO of Matroid, a Palo Alto computer vision company that lets people build and deploy AI detectors without writing code. He is an adjunct professor at Stanford, a founding team member at Databricks, co-author of Apache Spark's machine learning library MLlib, and the person who built the algorithm behind Twitter's first machine-learning product, Who To Follow. Born during the Iran-Iraq war in Ahvaz, raised in London and Toronto, he turned a Stanford PhD on large-scale graphs into a company betting that one day every camera will understand what it sees.
Sigma is a cloud-native analytics and business intelligence company that lets anyone explore live data from cloud warehouses like Snowflake, Databricks and BigQuery through a familiar spreadsheet-style interface - no SQL required. Now pivoting into 'agentic analytics,' Sigma layers no-code AI agents on top of governed warehouse data so business teams can ask questions, build apps and trigger actions directly against the data, with security and governance intact.
Acceldata is an enterprise data observability and agentic data management company that helps large organizations monitor, govern, and optimize the pipelines, warehouses, and lakes powering modern analytics and AI. Founded in 2018 by former Hortonworks engineers, it now serves customers like Oracle, Verisk, PhonePe, and Dun & Bradstreet, and recently launched an Autonomous Data & AI Platform built around its xLake Model Context Protocol for agentic workloads.
Atlan is a data and AI control plane - a metadata-driven workspace that helps data teams catalog, govern, and collaborate across the modern data stack. Built like Figma for data, it sits between tools like Snowflake, Databricks, dbt and BI dashboards to give companies a single source of truth for what their data means, who owns it, and whether it can be trusted by humans or AI agents.
Hightouch is a San Francisco-based B2B SaaS company that pioneered Reverse ETL and built the leading Composable Customer Data Platform (CDP). Founded in 2018 by Tejas Manohar, Josh Curl, and Kashish Gupta - all alumni of Segment - Hightouch lets companies activate their warehouse data directly into 250+ business tools like Salesforce, Braze, and Google Ads without copying data to a separate CDP. Since launching AI Decisioning in 2024, Hightouch has evolved into an agentic marketing platform, helping brands like Warner Music Group, Chime, PetSmart, and Spotify orchestrate personalized customer journeys using live warehouse data. The company reached $100M ARR and a $2.75B valuation in April 2026, backed by Goldman Sachs, Bain Capital Ventures, and Sapphire Ventures.
Gopalakrishna Kuppuswamy is Co-Founder and CTO of Cognida.ai, an enterprise AI company headquartered in Sunnyvale, California, that raised a $15M Series A from Nexus Venture Partners in February 2025. With 30+ years in technology - starting at CMC Limited in 1994 and spending a decade as VP at Hitachi Vantara - he now leads the engineering behind Zunō, Cognida's agentic AI platform that cuts enterprise AI deployment timelines from 6-8 months down to 10-12 weeks. Based in Hyderabad, he holds master's degrees from both the University of Hyderabad and the University of Illinois Urbana-Champaign, and has helped grow Cognida.ai to 250+ employees and $37.7M ARR.
Raj Bains is the Founder and CEO of Prophecy, a Palo Alto-based low-code data engineering platform that lets analysts and engineers build Apache Spark pipelines visually - generating real, production-grade code to Git. With a background spanning compiler engineering at NVIDIA (where he was a founding CUDA team engineer), product management at Hortonworks through its IPO, and a patent for designing a language for insurance contracts, Bains launched Prophecy in 2017 to solve a problem he had watched the data industry ignore for two decades: making data transformation fast and accessible for everyone, not just Spark specialists. The company has raised $114M+ from Insight Partners, SignalFire, JPMorgan, and HSBC, and counts Fortune 50 enterprises including HSBC, JP Morgan, Microsoft, and Toyota among its customers.
Rohit Choudhary is the Founder and CEO of Acceldata, the company credited with coining the term 'data observability' and building the world's first enterprise data observability platform. A career data engineer who spent years at InMobi and Hortonworks before striking out on his own in 2018, he has raised over $105 million and built a platform used by Fortune 500 companies to monitor, manage, and ensure reliability of their data pipelines in an era where bad data feeding AI models is no longer just an inconvenience — it's an enterprise liability.
Privacera (now operating as Trust3 AI by Privacera) is a Newark, California-based enterprise software company that runs a unified data and AI access governance platform. Built by the co-creators of Apache Ranger, it gives Fortune 500 teams a single place to discover sensitive data, set policies, and enforce access across Snowflake, Databricks, AWS, Azure, GCP, and the new generation of LLM-powered apps.
Prophecy is an AI-powered data engineering platform that turns visual workflows into production-grade Spark and SQL code, letting analysts and engineers build, deploy, and govern pipelines together on Databricks, Snowflake, and BigQuery.
Vikas Marwaha is the Co-Founder of Prophecy, an AI-powered data transformation platform trusted by Fortune 500 enterprises for building data pipelines at scale. With a career spanning Satyam, HP, Headstrong, and Wipro, he brings over two decades of enterprise sales and global partnerships experience to a company that raised $155M in total funding and achieved 3.5x revenue growth in FY2024. Prophecy's platform lets data teams build, deploy, and monitor pipelines visually while generating clean, open-source code - bridging the gap between business users and data engineers.
Alfred Chuang is the General Partner of Race Capital, a San Francisco venture firm investing in Web2 and Web3 infrastructure. Before becoming a VC, he co-founded BEA Systems in 1995 and led it as CEO until Oracle bought it in 2008 for $8.6 billion. Andreessen Horowitz has called him the Silicon Valley CEO's CEO.
Ashu Garg is a General Partner at Foundation Capital in Palo Alto, where he writes the first check into deeply technical, pre-revenue founders building AI-first enterprise companies. He was an early investor in Databricks and six unicorns including Cohesity, Eightfold, Amperity, Turing, Anyscale, and Alation. He hosts the B2BaCEO podcast and convenes Foundation's annual CEO Summit.
Dharmesh Thakker is a General Partner at Battery Ventures, one of the world's longest-running technology venture capital firms, where he leads investments in infrastructure software, AI-powered applications, cloud/DevOps, data, security, and open source. An immigrant from India turned engineer turned VC, he joined Battery in 2015 after leading Intel Capital's global cloud and big-data practice. He holds a BS in electrical engineering from UT Austin and an MBA from Wharton. His portfolio spans category-defining companies including Databricks, Postman, Gong, ClickHouse, and Weaviate, with notable exits including Confluent (IPO), JFrog (IPO), and Sumo Logic (IPO). He hosts the 'Billion-Dollar B2B' podcast, writes for TechCrunch and Forbes, and was named to the Forbes Midas Brink list in 2016.
Everett 'Ev' Randle is a General Partner at Benchmark, one of Silicon Valley's most legendary and selective venture capital firms. A Colorado native who graduated top of his class from CU Boulder's Leeds School of Business, Randle cut his teeth at Vista Equity Partners before moving through Bond Capital, Founders Fund, and two stints at Kleiner Perkins. He backed companies like Rippling, Anthropic, Databricks, Flock Safety, and Huntress across those roles. He is also a respected essayist in the VC world, best known for 'Playing Different Games' (2021), a widely-cited breakdown of Tiger Global's disruption of venture capital, and 'Operating Yield' (2023), a new framework for measuring SaaS growth efficiency. In April 2025, Benchmark announced Randle as its newest General Partner - a firm that manages roughly $425M per fund with only five partners.
Kyle Harrison is a General Partner at Contrary, the talent- and research-driven venture capital firm based in San Francisco. He joined in 2022 to co-found the firm's later-stage investment practice, bringing nearly a decade of experience from Index Ventures, Coatue Management, and TCV, where he backed companies including Ramp, Pave, Anduril, GitLab, Databricks, Snowflake, Figma, and Robinhood. Beyond deploying capital, Harrison built Contrary Research - one of the largest private market research platforms in the world, with 100,000+ subscribers and 500+ published reports. He also publishes the Investing 101 newsletter on Substack (26,000+ subscribers) and co-authored 'The Anduril Thesis,' a 300-page deep dive that took two years and 500+ sources to produce. Married to Camden, father of four, and a member of The Church of Jesus Christ of Latter-Day Saints.
Ramu Arunachalam is a General Partner at A.Capital Ventures, the San Francisco-based VC firm known for a founder-friendly approach and a portfolio spanning Notion, Anthropic, Databricks, Coinbase, and Replit. An engineer turned product manager turned investor, Ramu brings a rare depth of technical credibility to the table - he helped build VMware's first virtual switch, shaped a16z's Cloud and Big Data thesis during his time as Partner there, and now leads A.Capital's $180M Fund V with a focus on AI and crypto-native companies.
Chris O'Neill is a veteran technology executive with 25+ years of leadership across Google, Evernote, Glean, and Xero. Best known for leading Evernote's turnaround as CEO (2015-2018) and doubling its user base, he joined GrowthLoop as CEO in August 2024, steering the composable CDP startup through its AI transformation and Series D funding. A Tuck School of Business (Dartmouth) MBA and former Google Canada Managing Director who scaled that business to billions in revenue, O'Neill is also a board director at Gap Inc. and a published contributor to Fast Company and Fortune on the themes of AI, leadership, and compound growth.
Owen Frivold is the CEO of Cleartelligence, a modern data and AI consulting firm headquartered in Newton, Massachusetts. A Stanford-educated co-founder of Hero Digital, Frivold brings 14+ years of experience shaping customer experience and digital transformation for brands like Apple, Sephora, Airbnb, and Lucid Motors. After founding Winter Sun LLC as a boutique strategy advisory, he joined Cleartelligence as President in April 2024 - when the company acquired Winter Sun - and was elevated to CEO in April 2025. He is known for turning complex data problems into actionable intelligence and driving enterprise AI readiness across financial services, life sciences, manufacturing, and retail.
Siddhartha Agarwal is CEO of JazzX AI, the first end-to-end AI platform built for the mortgage industry. With over 30 years steering product strategy and go-to-market transformation at Oracle, Google Cloud, Databricks, and Freshworks — where he helped drive more than $700M in annual recurring revenue — he now leads a SAIGroup-backed company that is rewiring mortgage lending with governed, auditable AI automation. He holds degrees from Grinnell College, Caltech, and Stanford, sits on the Wisconsin School of Business advisory board, and publishes widely on why digital employees will eventually outnumber human ones by a factor of 10 to 20.
Sean Knapp is the founder and CEO of Ascend.io, an AI-native data engineering platform that unifies ingestion, transformation, orchestration, and observability into a single product. A Stanford-trained computer scientist, he previously built iGoogle at Google and co-founded Ooyala — a video platform that raised $120M and sold for $400M+. At Ascend, he is building what he calls 'Agentic Data Engineering,' where AI agents handle the operational burden that buries data teams, freeing engineers for strategic work.
Jason Cui is a Partner at Andreessen Horowitz (a16z) investing at the intersection of foundational AI, developer tooling, and scientific platforms. A Harvard computer science graduate, he co-founded Jemi (acquired by Brat TV in 2023), led product at Databricks, and previously worked at Uber and Hulu. Named to Forbes 30 Under 30 in 2021, he joined a16z to back the infrastructure layer of the AI era, with bets like the $150M seed round for Inferact, the next-generation commercial inference engine built by the vLLM maintainers.
Sarah Wang is a General Partner at Andreessen Horowitz (a16z), where she leads growth-stage investments across AI, enterprise applications, and infrastructure. A Harvard and Stanford GSB alumna with rare dual-mode investor instincts - equally comfortable asking 'Is it working?' and 'What if it works?' - she has backed defining companies of the AI era including Cursor, Wiz, Character.ai, Gamma, Decagon, and Thinking Machines Lab, while working closely with a16z's positions in OpenAI, Databricks, SpaceX, SSI, and Figma.
Ali Mannan Tirmizi is a Pakistani IT leader and engineer who went from co-founding a Harvard-backed water filtration startup at 23 to becoming a Senior IT Manager at Procter & Gamble, where he leads supply chain cloud platforms across Asia, Middle East and Africa. With a background in Electrical Engineering from LUMS and comparative public policy from UMass Amherst (US State Department SUSI program), he bridges technical depth with social purpose - slashing $220K in cloud costs at P&G while previously building a $2 water filter that removes 99.99% of bacteria for Pakistan's underserved communities. He also writes on data management for DATAVERSITY and holds a YouTube channel where he shares insights from his journey.
David George is a General Partner at Andreessen Horowitz (a16z), where he leads the firm's Growth investing practice - a $15 billion operation he built from scratch after joining in 2019. A former General Atlantic investor who backed Airbnb, Slack, CrowdStrike, and Uber at growth stage, George brings a ruthlessly analytical, 'business model snob' approach to late-stage venture. He has since backed Roblox, Databricks, SpaceX, Stripe, Figma, OpenAI, and Anduril, developing distinctive frameworks around 'what vs. how' innovations, push vs. pull market dynamics, and winner-take-all market structures. A Kentucky native with a wrestling background, a Notre Dame summa cum laude degree, and an MBA from Stanford GSB, George is known for his competitive intensity, deep intellectual frameworks, and a Post-it note on his computer that reads: 'Is the market demanding more of my product?'
Benjamin Rogojan, known online as SeattleDataGuy, is a data engineer turned full-time independent consultant and content creator based in Denver, CO. After leaving Facebook/Meta in December 2021, he built a media and consulting empire: 100k+ YouTube subscribers, 100k+ Substack newsletter readers, and a thriving consulting firm serving healthcare, fintech, SaaS, and private equity clients. He also runs the Technical Freelancer Academy, helping engineers launch 6-7 figure consulting businesses.
Carly Taylor is a data scientist, ML engineer, and Field CTO for Gaming at Databricks who blends computational chemistry roots with cutting-edge machine learning to transform how the gaming industry understands player behavior. As founder of Rebel Data Science and creator of the Taylor on Tech newsletter, she advocates fiercely for diversity in data science while holding two ML patents and a track record that includes reducing player churn by 17% at Activision.