Any model, same engine.
Claude this quarter, a better model next quarter, your own model after that. They all read from the same engine over an open MCP interface, so changing your mind costs a configuration change instead of a year.
A context engine
your company
owns.
Not a search box over your files. It reads your company the way a model needs to read it, then serves that understanding to whatever tool you point at it.
See how it works
If you do not like it,
you can leave.
A decade of documents in Microsoft. Two years of prompts and hard won working memory in OpenAI. The software is replaceable. The understanding is not.
Everything you build in Listening Post comes back out in a single export, whenever you ask. We earn your business. We do not hold it hostage.
Give agents judgment,
not credentials.
Connectors bring your systems into the engine. Agents read the context that makes them useful and nothing more.
Write access to production stays exactly where your team put it.
Nobody leaves their vendor, because nobody can afford to.
Your vendor knows it. Every month you stay, leaving gets more expensive, and that is the plan. Take the understanding with you and the only thing left to argue about is the software.
The keys stay yours.
Run it in your VPC, in your own building, or fully air gapped. You hold the encryption keys, so sovereignty is something your team can verify instead of something a vendor promises.
The work does not stop.
Seats run out of turns. Context does not. When a subscription caps out mid afternoon, point another model at the same engine and your people keep going.
Put it in front of your own data.
A live pilot in your environment, your systems connected, your security team asking the hard questions.