Before you choose tools, models or agents, build the layer they all need. Everything plugs in, swaps out and grows as your business does.
Book 30 minutesAn agent is only as good as the context it can see. Point one at your business today and it acts on fragments: one system, one dataset, no memory of why anything was decided. Pragma is the layer that gives every tool, agent and model the full context of your business.
Your most expensive people, interrupted for answers that are already written down.
Your people already paste company information into personal AI accounts. Unshared, unmanaged, invisible to you.
How things really work lives in a few heads. When one leaves, it leaves too.
Businesses that run on AI get faster every month. The distance between you and them never announces itself.
A customer repeats themselves for the third time while your agent digs through old tickets.
With Pragma: the full history and the right policy, in front of your agent in seconds.
Every proposal starts from a blank page while the answers that won last time sit in old bids nobody can find.
With Pragma: past bids, pricing and case studies surfaced in seconds, so you reuse what already won.
Your engineering lead says it will be ready in a month. The only people who can verify that are the ones on the hook to deliver it.
With Pragma: an independent, expert read on real progress, and a team that ships more each sprint because nothing has to be re-learned.
Your new hire's first month is spent interrupting your best people with the same questions.
With Pragma: they get the answer a five-year veteran would give, without asking one.
Every decision still routes through you, because you're the only one holding the full picture.
With Pragma: the business answers its own questions, and you get your week back.
It doesn't replace anyone. People still make every decision. Pragma just makes sure the right information is in front of them when they do.
Live in weeks. No setup fees, no 12-month timeline.
Swap LLMs with a config change. Never locked to one vendor.
Runs in your own cloud or on-premise.
Every answer cites its sources, from your own knowledge.