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Anthropic, Gamma, and Clay share what happens when enterprises actually deploy AI at TechCrunch Disrupt 2026. Anthropic, Clay, and Gamma on what it takes for an AI product to go beyond the demo at the AI Stage at TechCrunchDisrupt 2026. Register to join and ge An AI demo can look brilliant in five minutes. Then customers start using the product. They push it into workflows you didn't anticipate. They expect it to work reliably. And they quickly find out whether it solves a big enough problem to become part of how they work - or becomes another AI experiment they tried and abandoned. At **TechCrunch Disrupt 2026**, leaders from Anthropic, Gamma, and Clay will come together on the **AI Stage for "What Anthropic Sees When Enterprises Actually Deploy Claude."** The conversation will bring two sides of AI deployment: the patterns Anthropic sees across enterprise implementations and the firsthand experience of founders building AI products people actually use. **Secure your pass to Disrupt and save 50% on a second pass.** Hear what AI leaders and founders are learning when their products meet real customers. Insightful sessions like this are meant to be experienced with a colleague, partner, or peer. What happens after the AI launch? Most conversations about enterprise AI focus on what companies could do with it. Anthropic Head of Applied AI Cat de Jong starts somewhere more interesting: what happens after deployment. De Jong works directly with enterprises putting Claude into critical workflows. At Disrupt, she'll explore where deployments succeed, where they stall, and what separates organizations extracting real value from those still running pilots 18 months later. If you're selling AI into the enterprise, those patterns matter. De Jong's experience offers a firsthand look at what changes when AI moves from experimentation into critical workflows and why some organizations get to production while others don't. Want to know what separates AI pilots from deployments that make it into production? **Register for Disrupt and get a second pass for 50% off.** How do you get people to use what you've built? Anthropic can see patterns across enterprise deployments. Gamma Co-Founder and CEO Grant Lee brings another perspective to the conversation: what it looks like from inside a company building an AI product and getting people to actually use it. Gamma has grown its AI-powered platform from an alternative to traditional presentation software into a broader visual communication tool. TechCrunch reported in March that the company was approaching 100 million users as it expanded its AI tools into marketing assets and other forms of visual content. That kind of adoption gives Lee a useful vantage point on the questions at the center of this session: What makes an AI product useful enough for customers to keep coming back? What changes once people start using it in ways you didn't anticipate? And how do you turn powerful AI capabilities into a product that solves a problem people actually have? Building an AI product is one thing. Getting people to make it part of how they work is another. **Secure your pass to Disrupt** and hear what Gamma has learned along the way. What happens when AI becomes part of the workflow? Clay Co-Founder and CEO Kareem Amin brings the perspective of a founder building AI into the way companies find and reach customers. Clay provides infrastructure to pull in data, run agentic workflows, and launch GTM plays. In January, TechCrunch reported that Clay was one of the launch apps integrated into Claude when Anthropic introduced interactive workplace tools inside the Claude interface, so his perspective is particularly relevant to the conversation. That puts Amin close to the questions this session will explore: where AI is genuinely useful, how it fits into existing workflows, and what happens once customers start depending on it. Together, de Jong, Lee, and Amin bring different views of that transition. Anthropic can identify patterns across enterprise deployments, while Gamma and Clay can pressure-test those patterns against what they're seeing as customers put AI products to work. Want to learn what AI adoption looks like from both sides? **Explore your Disrupt ticket options and save 50% on a second pass of the same type** to hear crucial AI perspectives from Anthropic, Gamma, and Clay on the AI Stage. Hear what it takes for an AI product to go beyond the demo at Disrupt 2026. An impressive demo can show what AI makes possible. The harder test comes when customers start depending on it. At Disrupt, Anthropic brings a view across enterprise deployments, while Gamma and Clay bring the founder perspective on building AI products people actually use. Join them at Disrupt, October 13-15 at San Francisco's Moscone West, where 10,000+ founders, investors, operators, and tech leaders gather for **200+ sessions**** **across six industry stages, roundtables, and breakouts featuring **250+ speakers**, plus **300+ exhibiting startups**, matchmaking, and networking. **Register for your pass and get a second pass for 50% off.** Hear what Anthropic, Gamma, and Clay are learning about turning AI capabilities into products people actually use.

Vibe opens Connected TV advertising to APIs and AI agents. Vibe Makes CTV Advertising Programmable Connected TV advertising is beginning to move beyond the dashboard. Vibe, a streaming TV advertising platform aimed at performance marketers, has expanded access to its campaign infrastructure through a public API, Model Context Protocol connection, command-line tool and reporting agent. The company says the changes are designed to let advertisers manage CTV campaigns through their existing software workflows, including scripts, internal applications and AI assistants, rather than requiring every campaign operation to happen inside a dedicated advertising interface. Vibe's latest product expansion reflects a broader change in how performance marketing teams are using software. Instead of treating advertising platforms as standalone destinations, marketers increasingly connect campaign systems to internal data, automation tools and AI assistants. The company's Vibe Developer Platform provides a public API that allows technology partners and in-house development teams to integrate CTV campaign management into their own applications. Vibe's MCP connection extends that model to AI interfaces, allowing advertisers to query campaign performance, explore streaming inventory, review audiences and launch campaigns through tools such as Claude, ChatGPT and Gemini Enterprise using their Vibe accounts. A command-line interface gives technical teams another route for scripting campaign operations, while Vibe Agent provides natural-language reporting inside the platform. The underlying proposition is straightforward: campaign management becomes a programmable service rather than something confined to a graphical user interface. Vibe tested that approach internally. According to the company, its growth team used the API to create 250 account-based CTV campaigns, each with its own audience and creative. The company says the work required less than 15 minutes of hands-on effort, compared with an estimated 40 to 125 hours if configured manually. It also reported that the system matched creative to the correct account on 98% of campaigns on the first pass. Those figures are Vibe's own internal results rather than an independent benchmark, but they illustrate the type of workflow the company is targeting: high-volume, customized campaign creation driven by automation. The expansion also extends beyond campaign execution into the data and measurement layer. Vibe added integrations with Stella for causal CTV measurement; Clay and Omnisend for enriched account and email-based audiences; L2 for voter and consumer audiences; Freshpaint for HIPAA-compliant conversion tracking in healthcare; and Segwise for converting existing brand footage into CTV advertising creative. That integration strategy matters because performance marketers rarely keep audience, CRM, analytics and creative data inside a single system. Connecting those sources to CTV activation can reduce the operational work required to move first-party information into television campaigns. The addition of SOC 2 Type 2 certification also addresses an important enterprise consideration. Advertisers increasingly want to use first-party customer information across media platforms, making security controls and compliance documentation part of the technology evaluation process. Vibe's approach puts it into an increasingly competitive CTV technology market that includes established programmatic platforms, streaming publishers and broader advertising ecosystems from companies such as Google, Amazon and Microsoft. Its differentiation is less about introducing another CTV buying interface and more about making CTV infrastructure accessible through APIs and AI-driven workflows. For enterprise teams, that could make CTV easier to incorporate into automated marketing operations. A campaign could theoretically begin with an instruction in an AI assistant, draw audience information from an existing system, activate through Vibe and return performance data to the same workflow. The challenge will be maintaining governance as those workflows become more autonomous. Access permissions, audience eligibility, creative approvals, budget controls and measurement standards all need to remain explicit when software can execute advertising actions. Vibe's expansion therefore points toward a broader evolution in media buying: CTV platforms may increasingly function as infrastructure that other applications and AI agents can operate, rather than destinations marketers must continually navigate themselves. Market landscape. CTV advertising has traditionally relied heavily on platform interfaces, managed-service workflows and fragmented technology integrations. APIs and AI agent connections introduce a different model in which media buying becomes increasingly programmable. The shift is particularly relevant to performance marketing teams running large numbers of customized campaigns. API access can support automation, while MCP-style connections allow AI systems to interact with advertising infrastructure through structured tools and account permissions. At the same time, advertisers need stronger controls around first-party data, privacy and security. Vibe's SOC 2 Type 2 audit and integrations covering healthcare conversion tracking illustrate how enterprise requirements are becoming part of CTV platform architecture. The broader market is moving toward interconnected media stacks in which DSPs, audience platforms, measurement providers, creative tools and AI systems exchange data rather than operating as isolated destinations. Top insights. * Vibe expanded CTV campaign access through an API, MCP connection, CLI and reporting agent, making streaming TV infrastructure more programmable. * The platform connects campaign activation with audience, measurement, creative and compliance tools, addressing fragmented workflows across performance marketing teams. * Vibe's internal test created 250 account-based CTV campaigns through its API, demonstrating the potential for automated high-volume campaign personalization. * New integrations with Stella, Clay, Omnisend, L2, Freshpaint and Segwise extend Vibe's reach across measurement, audience data, healthcare and creative production. * SOC 2 Type 2 certification strengthens Vibe's enterprise positioning as advertisers increasingly connect first-party customer data with CTV campaigns.

Clay hits $7.1B valuation as the revenue-generating agent market runs hot. The sales agent startup more than doubled its valuation in 13 months. Investors are betting that agents tied to revenue are more resilient than those tied to productivity. Dana Ellison Forkast mind | 2026-09-10 2:11 AM PDT Clay has reached a $7.1 billion valuation following a $115 million Series D funding round led by Wellington Management. The round included participation from Sequoia, a16z, StepStone, Perennial, CapitalG, and DST. This valuation marks a significant increase from the $3.1 billion mark the company held in August 2025, representing more than a doubling of value in just 13 months. The company has scaled to over 17,000 customers, including major enterprise players like Google, Anthropic, OpenAI, Stripe, ElevenLabs, Workday, and Siemens. According to company data, 80% of the Forbes AI 50 now use the platform. Financially, Clay has crossed $50 million in annual recurring revenue (ARR) and is targeting $100 million ARR by April 2026. These figures suggest that enterprise decision-makers are prioritizing tools that directly impact sales workflows. There is a clear distinction between the type of agents Clay builds and the engineering-focused tools currently capturing headlines. While companies like Cognition have reached valuations as high as $48 billion, their focus remains on automating the software development lifecycle. Clay operates in a different category: sales agents. These tools are designed to analyze business data to help sales teams decide and execute actions, aiming to generate measurable, external revenue rather than just improving internal developer efficiency. Despite the capital flowing into this space, the broader enterprise landscape remains challenging. Data from IDC and Lenovo indicates that 88% of enterprise agent initiatives never actually ship to production. This gap between a successful pilot and a functional, revenue-generating agent is a primary hurdle for organizations looking to deploy these technologies at scale.