Press & Media Kits

Product-market fit is no longer enough for AI startups. Drawing on real lessons from founders across industries, this article explores five critical “fits” that can make or break an AI-native company.

Guest, Aliisa Rosenthal, former Head of Sales, OpenAI discusses: How to Drive Impact at Scale. Aliisa expanded sales to 100 strong & Grew from $10M to $10B.

In the long arc of technology, Artificial General Intelligence may be looming somewhere beyond the horizon—faint, inevitable, and over-discussed. But in the enterprise—where risk is institutionalized and change moves at human speed—we are not ready to hand the keys to the machines. Not yet.

Peter Day shares how Superset approaches company building in the AI era. From investment strategy to supporting technical founders, the discussion highlights what it takes to back and scale AI-native startups today. A thoughtful look at venture, operators, and long-term conviction in AI.

This article explores why modern AI systems need more than just models and prompts — they need a control plane. It breaks down how orchestration, observability, and governance become critical as AI stacks grow in complexity. A sharp read for teams building serious, production-grade AI infrastructure.

In this episode of "Leaders in Tech," host David Mansilla sits down with Vivek Vaidya, General Partner at Superset, to pull back the curtain on the "Company Builder" model.

The article argues that 2025 marked a true explosion in AI — not just hype — and that 2026 will test whether that acceleration leads to sustainable value or ends up as over-inflated expectations. As AI moves rapidly from vision to deployment, the key challenge ahead is discerning long-term impact from short-term noise.

This blog breaks down what the OpenAI Apps SDK is, why it’s a game-changer for startups, and how you can get started building the next generation of conversational apps.

The “AI revolution” is really augmented intelligence: humans + tools. super{set} backs teams that are AI-native—putting AI at the core, not as an add-on. For students, the risk is either over-relying on AI (and skipping fundamentals) or under-using it (and falling behind). Universities should teach both rigorous reasoning and modern AI workflows. For developers, agentic tools (e.g., Cursor, Copilot) turn one engineer into a mini dev team—automating boilerplate, tests, docs, and legacy audits—so humans can focus on architecture, edge cases, and creative problem-solving. AI won’t erase jobs; it shifts them, rewarding those who adapt. The near future belongs to builders who pair deep software craft with AI fluency.

This VMblog Q&A with super{set} founding GP Vivek Vaidya explains how the studio builds AI-native enterprise companies by pairing capital with hands-on company building (engineering, GTM playbooks) and focusing on proprietary data as the core moat. It spotlights the $200M acquisition of Habu by LiveRamp (2024) as proof of the model, and details what they seek in technical co-founders, how they hard-wire governance/privacy from day one, and which enterprise workflows are ripe for AI over 2025–2030.

As a co-founder at Lucenn, an innovative AI Dev shop, Adrien Le Gouvello, a partner at super{set} gets to see how AI is automating and transforming all kinds of business processes daily. Not a software engineer, not an expert, but understands the requirements and functionality needed to create an effective coordination tool for Burning Man.

A Healthy Debate at super{set}’s Evening Roundtable on AI Possibilities for Marketing

Read coverage in the San Francisco Examiner and the San Francisco Chronicle of super{set}'s recent move to the flagship 140 New Montgomery building in downtown SF, next to SFMOMA.

Jeremy Klein is a general partner at super{set}. Jeremy helped build super{set} from day one alongside Tom Chavez and Vivek Vaidya, designing super{set}’s structure, recruiting co-founders, and laying the plans for a scalable buildout. super{set} recently announced the closing of its $90 million Fund II. He sat down with Jon Suarez-Davis (jsd) to provide insights into the strategic timing and vision behind launching Fund II, his professional journey from a legal expert to an integral part of super{set}'s fabric, and how his unique background and approach have been instrumental in building super{set} and recruiting top-tier co-founders.

Startup studio super{set} has a fresh exit under its belt with the sale of marketing company Habu to LiveRamp for $200 million in January. Now, super{set} is adding another $90 million to its coffers as it doubles down on its strategy of building enterprise startups.

LiveRamp Enters Into Definitive Agreement to Acquire Habu, Reinforcing super{set}'s Unique Company Building Model of Founding, Funding, and Scaling Data+AI Businesses

Vivek Vaidya writes that America needs more H-1B workers. Common sense reforms to the program will even the playing field for startups, not Big Tech, to bring innovative talent to American's shores.

Tom Chavez writes in The Information that "OpenAI’s board needs a data ethicist, a philosopher of mind, a neuroscientist, a computer scientist with interdisciplinary expertise and a political strategist."

Read Vivek Vaidya's latest in CDO Magazine and learn why in this new AI landscape, those who harness the potential of proprietary data and foster a culture of collaboration will lead the way—those who don't risk obsolescence.

It's still early for the startup studio asset class - and we hear misconceptions about the studio model every day, ranging from the basic confusion of accelerators versus studios to downright incorrect assumptions on our deep commitment to the build-out of every company. Read Tom Chavez' latest in Forbes.

Writing in the Huffington Post: "My Mom Sent Me And My 4 Siblings To Harvard. Here's The 1 Thing I Tell People About Success."

Tom Chavez, writing in TechCrunch, calls for new approaches to the problems of Ethical AI: "We have to build a more responsible future where companies are trusted stewards of people’s data and where AI-driven innovation is synonymous with good. In the past, legal teams carried the water on issues like privacy, but the brightest among them recognize they can’t solve problems of ethical data use in the age of AI by themselves."

Justin Davis and Josh Newman, Co-founders of Spectrum Labs (acquired) launch Nurdle to get AI into production faster, cheaper & easier.

Tom writes a nuanced take on the TikTok controversy and outlines ethical data principles that will restore people’s sense of trust and offer them true control over how and when they grant permission for use of their data.

Announcing Jon Suarez-Davis (jsd) as super{set}’s Chief Commercial Officer: jsd tells us in his own words why he's joining super{set}

The Move Accelerates the Rapidly Growing Startup Studio’s Mission to Lead the Next Generation of AI and Data-Driven Market Innovation and Success