Emily GlassbergSands
@emilygsands
Head of Information at Stripe
Agentic commerce is coming 🔥 — @emilygsands, Head of Information at @stripe unpacks how autonomous “buying bots” and MCP are reshaping the very mechanics of online transactions - and how Stripe’s AI models and rails are adapting for tokens, one-time virtual cards, and…
I think this partnership between @perplexity_ai and @stripe to enable inline purchases directly from search results is very neat. (And, as a reminder, we launched an agent toolkit last week -- check it out if you want to enable similar experiences: stripe.dev/blog/adding-pa….)
Perplexity Shopping: a one-stop solution to both research and buy products. We’re excited about the transition from just providing answers to enabling native commercial transactions within Perplexity, starting with everyday shopping.
Had fun talking about all things AI at @stripe with @mattturck - agentic commerce, our new foundation model, and how we're boosting users’ revenue. youtube.com/watch?v=nvwglW…
The @stripe product keynote just finished! We announced a lot of new stuff. (We actually couldn't fit everything into the keynote.) Some highlights: • We've built and deployed the first general-purpose Payments Foundation Model. Trained on tens of billions of transactions and…
Yesterday, we announced Smart Disputes at Sessions. Stripe automates the evidence collection and submission process for eligible disputes on card transactions—on your behalf. And, you’ll only be billed for disputes that are won. Get started: docs.stripe.com/disputes/smart….
At Stripe, we've built and deployed the first general-purpose Payments Foundation Model. It's trained on tens of billions of transactions and already yielding very large fraud reductions.
TL;DR: We built a transformer-based payments foundation model. It works. For years, Stripe has been using machine learning models trained on discrete features (BIN, zip, payment method, etc.) to improve our products for users. And these feature-by-feature efforts have worked…
Had a lot of fun talking all things AI at @stripe with @patio11
This week on Complex Systems I talked with Emily Sands about Stripe's 15 year experience with AI/ML and current observations on the AI economy. I think you'll really enjoy the conversation. complexsystemspodcast.com/episodes/the-p…
Stripe has long optimized checkouts and payments flows for humans, and now we’re doing the same for AI agents. Autonomous invoicing, always-on email support for purchases, agent pricing… And yes, I’m fully ready for the robots to clothe my fast-growing kiddos, too. 👗👚👟
Build @stripe agentic workflows—with @OpenAI's new Agents SDK. 💰 Charge customers, send payment links, create invoices, manage subscriptions, and issue refunds ♾ Decide actions using transaction data ⛽️ Price based on usage or outcomes Get started: github.com/stripe/agent-t….
Just as we powered past technology waves—from marketplaces to SaaS platforms—@stripe is now powering the AI ecosystem. Every company in the Forbes AI 50 that is accepting online payments is doing so with Stripe. And as our 2024 data makes clear, AI startups are building…
The billions of dollars Stripe handles every day span 10,000+ banks and hundreds of currencies, countries, and cards. Our real-time ML system fixes glitches across 16,000 variables—including for the tiniest subsets of traffic—so payments can go through: stripe.com/blog/using-ml-….
Card testing is one of the most significant fraud threats today. @stripe has built a powerful ML flywheel to reduce card testing attacks by 80%. Learn how our innovations can protect your business: stripe.com/blog/the-ml-fl…
Today(), @stripe is launching a SDK built for AI agents: - LLMs can call payment, billing, issuing, etc APIs - Integrates with @vercel, @LangChainAI, @crewAIInc - Use any model via functions (w/ per token billing) Excited what you, and your bots, build: stripe.dev/blog/adding-pa…
Our friends over @Stripe just released an LLM Agent toolkit with AI SDK integration
New data from payments group Stripe suggests artificial intelligence groups are making revenues at an unprecedented rate on.ft.com/3MYEPfP
As late as October 2022, there was no ChatGPT, and there were very few AI-native products generally. AI Grant, the leading early-stage AI investor, exhorted founders to create some: web.archive.org/web/2022100716…. Two years later, the world looks very different. We analyzed the AI…