An open standard for programmatic commerce flows between buyers, AI agents, and businesses.

Use shared payment tokens (SPTs) to receive a customer’s payment method from an agent. The agent grants SPTs to your account with usage and expiration limits.

Learn how to start selling your products in-context using AI agents.

Accelerate productivity gains throughout the enterprise.
Build AI Agents and Assistants quickly and easily.

Seamless orchestration of your agents and assistants.
Reduce costs, save time, and comply with regulations

Increase developer productivity.
Build and ship code faster, from simple projects to the most advanced AI applications

When shifting from chatbots to autonomous agents, security is the core challenge. Auth0 for AI Agents provides the identity layer to secure every interaction - from human intent to AI execution. We handle the technical heavy lifting: Authentication for GenAI, Token Vaults, Asynchronous Authorization, and Fine-Grained Authorization for RAG. We help PMs and engineers ship agents with identity-driven authority while keeping data compliant. Securing agents, humans, and whatever comes next.

We build advanced conversational AI that can understand context, reason through tasks, and respond with natural-sounding voices. With ElevenLabs Agents, developers and enterprises can create voice-first assistants that not only communicate in real time but also take meaningful actions on a user's behalf.

Our AI Flow API enables seamless phone integration for AI agents, allowing them to handle real customer conversations via voice. It connects AI-driven workflows directly to telephony infrastructure, making it easy to automate calls while keeping interactions natural and human-like.

Our AI training and testing solutions source and integrate global, diverse data and perspectives to inform the most innovative apps, devices and experiences.
- Optimize performance with more testing coverage
Test and validate countless scenarios to optimize AI performance for all users, in every environment.
- Provide a seamless UX with end-user perspective
Get rapid, iterative feedback and fine-tuning from real end users and domain experts.
- Mitigate bias and other harms
Leverage red teaming to effectively discover and manage generative and agentic AI’s risks.

Giskard secures AI agents through exhaustive testing with hallucination detection, security scanning, and threat monitoring. Our platform provides instant alerts for vulnerabilities and annotation tools for business experts to incorporate domain-specific knowledge.

Giskard secures AI agents through exhaustive testing with hallucination detection, security scanning, and threat monitoring. Our platform provides instant alerts for vulnerabilities and annotation tools for business experts to incorporate domain-specific knowledge.

Arato Simulate helps teams get the assurance they need to ship their conversational AI systems faster and with confidence.
We simulate thousands of realistic user interactions across a detailed persona matrix - roles, demographics, intent - customized to your business logic, workflows and industry. We test through the UI, in your test or production environment, LLM agnostic, with no code access needed. With every run, teams get a deep Behavioral Readiness Analysis that shows exactly where their AI excels, where it fails, what patterns emerge, and what compliance risks you may have before launch.

Monitor everything: Flag policy breaches, hallucinations, and PII exposure in real time.

Measure performance: Track accuracy, satisfaction, and topic trends to pinpoint root causes.

Manage knowledge: Keep agent knowledge current and high-quality over time.

Safely update agents: CI/CD process led by business teams to ensure alignment with business directives.

Unify oversight: Manage all agents across vendors, LLMs, or internal builds in one platform.

If customers can’t pick the right variant, they hesitate, buy wrong, and return. Then your support drowns in “which one fits?” tickets. I fix complex product discovery end-to-end: product data model, guided-selling UX patterns, and “answer-first” support automation. Typical outcomes: higher AOV, fewer returns, and ~60% fewer support tickets. Start with a fast deep-dive to pinpoint the top revenue and cost leaks.