Insights6 min read
Semantic Gap: Can agents truly understand product value?
Keywords are dead. To sell to AI, you must bridge the semantic gap—translating human nuance into mathematical vectors.
SemanticsVector SearchData Science
The latest announcements, product updates, and research from Hyperfold AI.
24 articles found
Keywords are dead. To sell to AI, you must bridge the semantic gap—translating human nuance into mathematical vectors.
When bots go shopping, they don't browse one by one. They arrive in swarms. Is your infrastructure ready for the crush?
Your monolith wasn't built for AI. The hidden cost of legacy infrastructure is the inability to participate in the autonomous economy.
We are witnessing the birth of a new Operating System for commerce—one designed not for clicks and scrolls, but for intents and transactions.
Stop looking at AI as a way to cut support costs. Start seeing it as a way to clone your best sales people and generate net-new revenue.
Fragmented APIs break agentic workflows. A Universal API layer is the missing link for seamless autonomous execution across the enterprise stack.
Traditional payment gateways are too slow and expensive for the AI economy. Enter tokenized billing: the financial rail for autonomous agents.
The next billion customers won't be human. Is your enterprise data ready for the speed and precision of agentic commerce? The boardroom must address the data readiness gap now.
We are entering a commerce cycle where autonomous agents negotiate most transactions. The winning enterprises will be those with governance layers that turn agent speed into controlled outcomes.
As e-commerce shifts from human browsing to agentic execution, traditional product catalogs must evolve into semantic repositories that AI agents can navigate, understand, and purchase from autonomously.
Google's Universal Commerce Protocol establishes an open standard for AI-driven shopping, enabling seamless interactions between autonomous agents, retailers, and payment providers.
Vector search enables merchants to prepare their agent-ready catalogs with SoTA LLM embeddings and surface better results through autonomous AI agents.
ML-powered product recommendations are now available on the Agentic Commerce platform, enabling businesses to deliver personalized shopping experiences through AI agents.
Exploring how multiple AI agents can coordinate effectively to complete complex commercial transactions, inspired by principles of self-organization found in nature.
Today in private beta agent-first payment tokens—enabling AI agents to make autonomous purchases on behalf of users with built-in safety controls and spending limits.
We're expanding our Agentic Commerce platform to enterprise customers, enabling businesses to deploy AI agents for procurement, payments, and vendor management.
Hyperfold AI announces strategic partnerships with major financial institutions to bring agentic payment capabilities to millions of users.
How our platform handles agent authorization, spending limits, and transaction approval workflows to ensure user safety and control.
ChatGPT can now help you shop—researching products, comparing options, and completing purchases, all in one place.
In collaboration with Stripe and OpenAI, we're introducing the Agent Commerce Protocol (ACP) - an open standard for enabling secure commerce between AI agents.
Introducing our developer API platform that enables developers to build applications powered by agentic AI capabilities for commerce and payments.
Announcing our comprehensive safety framework for AI agents that handle financial transactions, including spending limits, human oversight, and transaction verification.
Today we're announcing Agentic Pay, a revolutionary payment infrastructure that enables AI agents to conduct secure financial transactions on behalf of users.
Introducing the HAC architecture—a distributed system that enables multiple AI agents to coordinate, share resources, and execute complex tasks together.