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Runtime

The AI agent harness for payment teams

Runtime is a platform for building and running AI agents across payments, risk, compliance and support workflows. Agents can run in the customer's own cloud, and sensitive steps such as releasing funds or sending replies wait for human approval. The footer says it is built in San Francisco.

Visit runtm.com

In the news

Restate raises $20M to 'define the infrastructure layer for AI agents and workflows' — its lightweight durable runtime journals every agent step so invocations survive crashes. The round underlines durable execution as the best-funded sub-category of agent infrastructure.

Featured

The de-facto standard toolkit for building LLM applications and agents.

LangChain makes the LangChain framework and LangGraph, the low-level orchestration standard for stateful, controllable agents, plus the LangSmith platform for tracing, evaluating and monitoring them in production.

~$75M raised

4 pros · 4 cons
Featured

Conversational AI agents for customer experience.

Sierra, co-founded by Bret Taylor and Clay Bavor, builds production conversational agents that resolve real customer issues with guardrails, evaluation and human escalation — a template for deploying vertical agents at the enterprise edge.

~$10B valuation (Oct 2025)

4 pros · 4 cons

Multi-agent orchestration, from open-source framework to enterprise platform.

CrewAI popularized role-based multi-agent teams ('crews') with a simple mental model and ships an enterprise control plane for deploying, monitoring and governing them.

$18M Series A led by Craft Ventures (2024)

3 pros · 4 cons

Connections

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Sources

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