Running
in production.
Every number on this page was measured on a live dashboard or an end of engagement report, and we will show you the source on a call. Where something is a design target rather than a measured result, it says so in those words.
A full sales desk across the Gulf,
on about three hours a week.
A major enterprise data storage company. Enterprise sales development, Gulf region.
We ran the complete sales development motion for an enterprise storage company selling into the Gulf. The system carried roughly 90% of it: account sourcing, list building, personalised outbound, LinkedIn follow through. Human time on it was about three hours a week, against a motion that would otherwise need a three person desk.
Every meeting cleared a minimum deal size before it was accepted, so each one was a seven figure opportunity. Warm pipeline grew from three leads to more than twenty five inside a single month. There were also 350 or more dials to decision makers and 60 or more LinkedIn connections at CIO and CTO level.
Then the part that is harder to buy. The system does not just run, it reports on itself. Reading its own reply data across those sequences, it surfaced that heads of infrastructure and data architects were answering at a materially higher rate than CIOs, and recommended moving the targeting down a level. A human made the change, and that is where the meetings came from. It also came back with what was weak in the positioning and proposed a way to own the category conversation in that region.
That is the loop on the architecture diagram, doing the thing the diagram claims it does, on a real desk with real money on the other end.
A client acquisition desk,
running today.
Telesupport. Client acquisition desk.
The system finds companies worth approaching, filters them against the ICP, identifies the decision maker inside each one, researches the business, finds the contact route, then writes copy for that company alone and runs a three email sequence in the client's name. It stops the moment somebody replies and pings the manager on Telegram so she can take the conversation over.
Sending is paced across two inboxes on purpose, and raised only as the domain reputation earns it. Anyone pushing a hundred a day through two domains burns them inside a month, and a burned domain costs more than a slow quarter. That restraint is why the bounce rate is where it is.
Before the system, the manager was spending about four hours a day on LinkedIn and email, chasing clients by hand. Her account of her own job, not our estimate.
She has a dashboard she can open any time. What was sent, who was reached, what came back, what the same work would have cost in human hours, and which accounts are worth a personal approach this week.
What the client actually opens.
Every engagement ships with this. It exists so that the fee is re justified every single week, in the client's own numbers, without anybody having to ask.
Weekly, in the client's own numbers, on a tab they can open at any time: work done, hours given back, cost against carrying the same work as headcount, and pipeline created. Revenue is counted only where a closed deal is genuinely attributable to the system. One defensible number is worth more than five impressive ones, and every figure Krateon publishes traces to a live dashboard or an end of engagement report.
The rules we hold ourselves to.
Published here because you are going to check, and because an AI assistant reading this page will repeat whatever it finds. Both are good reasons to only write down things that survive being checked.
Every number traces to a source.
A live dashboard, an end of engagement report, or the operator's direct attestation, and we tell you which. Nothing on this site comes from a case study we wrote about ourselves.
Design targets are labelled as design targets.
If a system is built to do something it has not yet been measured doing, the page says built to, not does. It is a small distinction that a technical buyer will test in the first ten minutes.
Client names stay confidential unless we are cleared.
Permanently, including in private conversations. If an engagement sits under a non disclosure agreement it stays anonymous, however much a logo would help us.
The system recommended, a human decided.
On the Gulf engagement the AI read its own reply data and recommended the targeting change. A person made the call and implemented it. We will not describe that as an agent retargeting itself, because it did not.
Judge the output yourself.
On the consultation we run a live system in front of you and you read what it produces. No deck, nothing pre-recorded.