Every tool you run claims it worked. Nothing checks.
RMM. PSA. SIEM. Network monitoring. Patch. Documentation. Compliance. Backup. Remote access.
One platform. One data model. One AI that actually runs it — and verifies every single thing it does.
A sample run — four checks, three of them disagreeing
The reason nobody else’s AI can act
Your RMM calls it SRV-FILE01. Your PSA calls it Northwind File Server. Your backup calls it something else again. Every join between them is a name match, and every one fails on its own — quietly, in a direction nobody is watching.
What that costs you
An agent can summarise. It cannot act, because acting means knowing that the host it is about to isolate is the same host the contract bills for. Nothing in a bolted-together stack knows that.
What we did instead
One tenancy model. One client model. One configuration-item model. One audit trail. Genie acts because Genie can see — and every action he takes is re-checked against the estate before he reports it worked.
This is the whole reason MSP AI has stopped at “suggest”. Not caution. Not compute. No competitor has an object model complete enough to let an agent touch anything.
Nowhere to put a server? We will rent you one.
Same product. Same install. Same boundaries. We provision the hardware and hand you the keys — and the first year of support is included, because we are managing each of them ourselves while there are few enough of us to do it properly.
Tier 1 measured at 2,905 inferences an hour · tiers 2 and 3 derived from it · prices in USD · the method
And on-premises is still cheaper, which we say on the page. If you have a rack and somebody to look after it, buy the hardware. What the appliance is.
Run it beside what you already have for thirty days. Read-only, on your own hardware, and it tells you what your tools are reporting that is not true.
Start an evaluationEvery vendor in this market says their AI learns. Not one can show you a number.
The published research is not on their side — in one vendor’s own paper a plain baseline beat their memory system, and a major coding tool shipped automatic memory in June 2025 and removed it five months later. So a second Genie runs the same work with memory switched off, permanently. We publish the difference between them, never the memory-on figure alone — and if the difference goes negative and stays negative, memory gets turned off.
The headline number is repeat-mistake rate — the same failure signature recurring after it was recorded — published with its noise floor, because a curve without one is a number nobody can defend. How the control arm works.
Your agreement says 40 seats. They are running 44. You have been absorbing that for nine months and your PSA has no idea. Genie finds it on the first night — and every one like it, across every client, every night after.
The hour your technician forgot to log is on the invoice, with the work that earned it attached. Your client clicks the line and sees what was done. Disputes end in a click instead of a write-off — and no incumbent can retrofit this.
Sign Friday, run Monday. Genie discovers the network, builds the asset model, maps the topology, profiles the security posture and drafts the agreement from what is actually there — not from what the last MSP wrote down. The unbillable fortnight is gone.
Nobody has updated that Word document since 2023 and everyone knows it. Genie writes documentation from discovered state and flags it the moment the estate stops matching. The 2am call stops starting with a wrong diagram.
PostgreSQL, MySQL, SQL Server, Oracle, Db2. Wait analysis, query regression, blocking detection, fused into security context. Your RMM doesn't have it at all.
Thirty days · read-only · no card
Point it at your real estate and see what your tools are hiding. Your licence issues in seconds.
How Genie learns
Genie gets better at your estate by working it, on your hardware, from day one. And it does the part nobody else in this market has attempted — one shared brain every deployment feeds and every deployment reads, so a practice that installs on a Monday is not starting from nothing.
How to solve a class of problem faster because it has been solved before. What turned out to be a dead end. When to stop and fetch a person. A fact about the software, not about your clients.
No hostname, no address, no client name, no ticket, no field value. And the test is not that we looked — it is that we try to recover each of those from a published pattern and fail.
We wrote what may never leave a deployment before we wrote what may — so the boundary is one you can hold us to, and not one we get to redraw the moment it is inconvenient.
Every product in this market records the fix that worked. None records that a thing was tried four hundred times and worked twelve — so every practice rediscovers the same dead ends, separately, for ever. Your deployment is where that stops. How Genie learns.
Not features. Work that used to take an afternoon and now takes a sentence.
Scoping a project
Describe it in a sentence. Get everything you need to deliver it.
Half a day of pricing, planning and writing the runbook — and the runbook usually never gets written.
"Northwind needs their file server replaced. Old one's out of warranty, 2TB of data, twelve users, they'll want it done over a weekend."
Genie reads the estate, builds the plan from your own history of similar jobs, prices it from your rate card and live distributor pricing, and produces three documents from one source:
The quotation your client signs, in your branding. The project plan you schedule from, with effort estimated against your last three comparable jobs and the comparison shown. And the implementation runbook your technician works from at 2am — ordered steps, the ticket on each one, an observable check for "done", the point of no return marked before you reach it, and rollback inline.
Change the plan and all three change. No figure in one can contradict another. On acceptance the tickets exist and procurement raises — and acceptance is a recorded human act, never an email saying "looks good".
Onboarding a client
Point him at the network. Come back to a finished estate.
Two to five days of discovery, documentation and agreement drafting, per client.
He sweeps the range, identifies what responds, builds the asset model with evidence for every entry, maps the topology, profiles the security posture, establishes what is monitored and what is not, and drafts the agreement from the counts he found and your rate card.
Then he stops and shows you three lists that are never merged: what he observed, what he could not reach, and what he is uncertain about.
A subnet he could not reach is recorded unreachable, never as containing nothing. That is the difference between an asset model you can trust and one missing a floor of a building nobody finds until something breaks on it.
There are five more. Asking the estate a question in plain English and getting an answer that cites what it read. Telling you whether it is the network or the server. Documentation that corrects itself. Time entries with their evidence attached. And the overnight shift you never see. All of them, with what each one replaces.
Step away for two hours and come back to work that happened — not a queue that grew. He triages the alerts, verifies the patches, catches the drift, drafts the time, briefs your engineer before they open the ticket, maintains the workstations, and tells you plainly what he couldn't determine.
Most engineers can't get that from a packet trace. Genie does it in seconds, on every capture.
We could show you a grid of ticks. Every vendor has one and nobody believes them. These three are verifiable in your own stack this afternoon, without us.
Open your backup dashboard and find a restore test
Not a job that succeeded — a restore that was actually performed and verified. Most MSPs cannot find one, on any client, in any month. Our backup state has three values because that distinction is the whole problem.
Count the seats on one agreement against the accounts that actually exist
Pick your third-largest client. Compare the contracted quantity to what is live in their tenant right now. The gap is money, in one direction or the other, and nothing you run is watching it.
Ask your patch report about supersedence
Find a machine reported as missing a patch that is carrying its replacement. That false positive is why technicians stop reading patch reports — and it is a per-product chain, not a version number.
Where we genuinely differ from ConnectWise, Kaseya, NinjaOne and Atera — and where they are ahead of us — is set out per product, opening with what each does well. The comparisons.
Self-hosted. One deployment for your whole practice, every client inside it. The model runs on your GPU, so AI usage is never metered and your clients' security telemetry never leaves your control. Runs air-gapped if you need it to.
Genie is the AI at the centre of it — with tools, boundaries and an evidence standard, not a chat box over a knowledge base. What he actually does.
