Stop waiting for connectors.Grw builds the integration.
Most AI tools ship a connectors page and make you wait for the rest. Grw works differently: describe your system, an API, an MCP server, a warehouse, a database, and Grw builds the connection itself.
The short answer: every software vendor has a connectors page, and if your system isn't on it, you wait. Grw works differently. Describe your system, an API and a key, an MCP server, a data warehouse, a database, a storage bucket, and Grw builds the connection itself. Integrations stop being a roadmap item you wait on and become a capability you use.
The connectors page is where deals go to die
You know the moment. The demo went well, the team is excited, and then someone asks: "does it connect to our system?"
The vendor opens the connectors page. Your CRM is there. Your call recording is there. But your billing system, your internal deal-desk API, the product-usage warehouse your CS team swears by? Not there. The answer arrives in vendor-speak: "it's on the roadmap."
The roadmap means quarters. Or a services quote. Or, most often, that data simply staying outside your AI's reach forever, which quietly caps what the AI can do for you.
Every sales org runs on the same five or six core systems plus a long tail of systems nobody else has. The long tail is exactly where the connectors-page model breaks, because no vendor will ever build a connector for an audience of one.
Describe your system, and the connection gets built
So we built it the other way around. Instead of us shipping connectors one at a time, Grw builds the connection when you describe your system to it.
Provide an API and a key, and Grw works out the endpoints and builds the tools to use them. Point it at an MCP server and it picks up whatever the server exposes. And now the same applies to the layer underneath: data warehouses like Snowflake, databases like Postgres and Supabase, and object storage like S3.
One of our customers did this recently with a platform we had never integrated with, Enterpret, a voice-of-customer platform. She described the system in Grw, provided an API key, and had records flowing before her call with that vendor even happened. Nobody at Grw wrote a line of code. There was no ticket, no roadmap item, no waiting. She described the system, and the integration existed.
What this looks like on each side of the org
If you're an enterprise buyer, the headline is: Grw connects to your data warehouse and your internal systems. Snowflake, custom APIs, MCP servers. The product-usage data, the billing history, the systems your team built in-house, all of it becomes context your sales AI can use, without a services engagement.
If you're the RevOps person at a 30-rep company, the headline is nerdier and better: Supabase, S3, Postgres, any custom database your own agents and scripts are already running. The stack you duct-taped together becomes something Grw can read and work with, and you didn't have to ask anyone's permission but your own admin's.
Same capability. Your data, wherever it lives, in reach.
Why this is the part that compounds
A connectors page grows linearly: one connector at a time, prioritized by whoever shouts loudest. A system that builds its own connections grows with your stack. Every new tool your company adopts, every internal API your engineers ship, every table your analysts stand up is already reachable.
It also changes what "we'll build what you need" means from a vendor. When we say it, it isn't a promise to schedule engineering work. Most of the time it means a working session where Grw does the building, with your admin watching.
Access stays inside your rules: you decide what Grw can reach, and CRM writes keep their human approval. Connecting a system doesn't mean surrendering it.
The gap this closes
The most common state of AI in sales right now: useful on the data it can see, blind to the data that matters most. The deal context lives in the CRM, but the truth about the account often lives in the warehouse, the product database, the billing system.
Close that gap and the everyday outputs change. Prep briefs that include product usage. Deal risk flagged from billing signals, and pipeline questions answered against the same warehouse your board numbers come from.
If there's a system you've always wanted your sales AI to see, tell us what it is. Better: book a demo and bring the API docs. The connection will probably exist before the call ends.
