Where AI meets your ecosystem
Crossbeam AI brings your go-to-market efforts into the future. It interprets and infuses ecosystem data at every step of your funnel, powering every seller and agent with the insights and actions they need to close deals faster.
The context layer that brings AI to GTM
Crossbeam is one of B2B’s richest sources of real-time ecosystem data — powering insights from thousands of GTM teams.
This proprietary data layer fuels every AI feature.
Your ecosystem sidekick
Our AI Chat gives your team a natural language way to discover, interpret, and act on ecosystem data — so you can grow pipeline, prioritize deals, and take action without leaving the keyboard.
Power any AI assistant or agent with Ecosystem Intelligence
Crossbeam MCP is designed to work with popular AI tools and assistants — like ChatGPT, Claude, or your own internal agents — to securely tap into your ecosystem data and deliver high-impact answers, actions, and automation where you need it.
APIs with context
Go beyond raw data. Pull enriched signals into your tools with a robust set of API endpoints, including webhooks that can trigger workflows and agentic actions.
See every opportunity and make them count
Crossbeam AI scans CRM and partner data to steer reps toward opportunities and actions that will create real outcomes.
Frequently asked questions
Crossbeam AI uses large language models to process incoming partner data, playbooks, user requests, and more in real time. The result is a stream of signals, potential actions, and intelligent assistants that can suggest the best opportunities for human attention and agentic action.
The Model Context Protocol (MCP) server is Crossbeam’s secure AI access layer. It makes ecosystem data “AI-readable” so assistants and agents like ChatGPT, Claude, or your company’s own homegrown agents can:
- Run reports or surface insights instantly
- Trigger workflows (e.g. export a list, message a partner)
- Answer questions in natural language
This ensures partner data is accessible in plain language while still governed by Crossbeam’s security and permissions frameworks
No. Crossbeam and its subprocessors do not train any large language models on your customer data. Data only passes through models for real-time processing, never long-term storage or training.