Model orchestration, autonomous workflows, a security-cleared knowledge base and a low-code API ecosystem — deployed in a working week.
Look at the last 90 days of paid acquisition across North America and Europe. Find what is driving the drop in return on ad spend, and tell me what to do about it.
These are exchanges the team published, replayed here. Nothing on this page calls a language model, and nothing claims to.
A prompt library, a node-by-node board, a financial model you can argue with, and the API as it is actually documented.
Each agent below is configured for General enterprise AI platform work, and carries its own measured throughput, accuracy and latency.
Connects to the warehouse, turns a question in plain language into SQL, runs the attribution, and returns a chart with the reasoning attached.
Answers in 52 languages across every channel you run, reads the actual returns policy rather than guessing at it, and hands over to a person the moment it should.
Reads a filing the way an analyst does — footnotes first — and tells you what changed against the last one and against the sector.
Writes and lays out campaign material per market, against your own tone rules, and flags the claims that need legal sign-off before anything ships.
Reviews the diff for the bug rather than the style, and tells you which advisory in the dependency tree actually reaches your code.
Every template is a chain of nodes with a trigger at one end and something the business actually needed at the other.
A form submission arrives; the company is researched, the lead scored against your ideal customer profile, a first email drafted from the actual pain point, and the deal created with the right owner.
A shared agent hub, workflows that run without supervision, and a knowledge base that answers from your own documents.
Problem
Every team has bought a different assistant, and none of them can see the company's own documents.
After
One hub, one retrieval layer, one place to see what is running and what it costs.
Problem
The people who know the process cannot automate it without an engineer.
After
Workflows are built from the same nodes an operator can read, and reviewed before they run.
Problem
Nobody can tell whether the answers are right.
After
Every answer carries its source. An agent with no source says so instead of inventing one.
One catalogue for the whole company, with usage and cost per agent visible to whoever pays for it.
Permissions are respected at retrieval time — an agent cannot surface a document its user could not open.
Every automation is read by a person before it touches production, and the diff is kept.
We stopped arguing about which assistant to buy and started arguing about which process to automate next. That is a much better argument to be having.
A worked example, not a promise. Change the inputs on the full model and the arithmetic changes with them.
repetitive hours a year across 40 people at 8 hours each per week
hours automated at a 62% automation rate
labour value released a year, at $40 an hour fully loaded
Forty-six working weeks a year, before licence cost. Released hours are hours people spend on something else — whether that becomes cash depends on what you redeploy them to, and this figure does not assume you will.
One REST surface, documented request and response for each route, and a token you can revoke.
Routes
{
"data": [
{
"id": "agt_8fk2",
"name": "DataPulse",
"model": "nexus-dense-70b",
"status": "ready",
"quota": { "used": 4120311, "limit": 120000000 }
}
],
"has_more": false
}
Every tier states its own ceilings. Where a limit is not listed, there is not one.
For a team automating its first few processes.
Billed monthly, cancel at any time
For a department running automation as part of how it works.
Billed monthly, cancel at any time
For an organisation with regulators, auditors and a security review.
Billed monthly, cancel at any time
For deployments that cannot touch a public network at all.
Scoped to your deployment
For a team automating its first few processes.
20% below the monthly rate of $299
For a department running automation as part of how it works.
20% below the monthly rate of $1,290
For an organisation with regulators, auditors and a security review.
20% below the monthly rate of $4,900
For deployments that cannot touch a public network at all.
Scoped to your deployment
The honest part is what won people over. When an agent does not know, it says so, and our teams stopped double-checking everything within a month.
11,400 hours returned in year one
Verified customer, 14 months on the Professional plan.