01 / 09 · Nebula
Thesis
Stated · tested · confirmed
One model at the top. Under it, an AI runs each department and reports back.
03The strategy · Science for marketing
Measured, automated and reporting to the CEO model around the clock.
AI CEO
Chief Executive Intelligence
Social
Dept.
Search
Dept.
Convert
Dept.
Ops
Dept.
Nurture
Dept.
Measure
Dept.
04The method
Three phases. Each reduces entropy; each compounds the last.
01 Observe
Customer, revenue, marketing and operations data become one measured model. Every metric gets a definition, an owner and a baseline.
02 Model
On the model we deploy AI: marketing that learns, revenue intelligence that forecasts, agents that take the repetitive work.
03 Compound
Each week of data improves the next. Growth stops being a campaign and becomes a property of the company.
Companies on the OS
23
+6 this quarter
Agents deployed
148
+31
Agent actions / day
12,400
+18%
Hours returned / month
9,600
+22%
Agent actions per day · thousands · trailing 12 months
Agent activity
05The platform · AI OS
Every client runs on the same AI OS, and every company gets its own way in: a dashboard, a chat, a phone number. The agents and the humans read the same numbers.
Ask it anything about the business, in plain language, from any device.
Every automated action: visible, attributable, reversible.
What changed, why, and what it did. Memory that stays with the company.
06Proof
Illustrative outcomes until named case studies are added.
Illustrative until real results are added
Companies we work with
Multi-location services
Illustrative2.9× revenue
Revenue $14M → $41M in 20 months.
Eleven tools replaced by one model. AI marketing engine and voice agents took bookings around the clock.
SaaS · Series B
Illustrative−34% CAC
Cost per customer down 34%. Forecast error from 40% to 8%.
Revenue intelligence with cohort forecasts ended the sales-versus-marketing attribution fight.
Healthcare
Illustrative0 missed calls
Zero missed calls. 2,000 staff hours a year returned.
Inbox and voice agents with human handoff answered every call at peak, then booked it.
07How it works
It starts with a two-week diagnostic and ends with a system that runs without us.
Two weeks. We measure your business and hand you the map.
We design the systems and the order to build them in.
We build them with your team, one at a time, each one live before the next.
They compound. We stay on as the intelligence layer.
$5,000 per month
One system, built and run for you.
Full AI OS
$7,000 per month
The whole AI OS, every department.
Questions
We are technology consultants for business growth who build what we recommend. You get the strategic view of a consultancy, the execution of an engineering team and a platform that stays with you.
Companies with real revenue and the intention to multiply it: typically from a few million to a few hundred million in annual revenue. The systems are sized for where you are going, not where you are.
The diagnostic returns in two weeks and usually pays for itself in the first budget decision. The first system is live within a quarter. Compounding is measured in years.
Rarely. The growth architecture sits above your tools and unifies them. We replace a tool only when it is the source of entropy.
You do. Everything is built in your accounts, on your infrastructure, documented so your team can run it.
Still deciding?
Book the diagnostic. It is the smallest engagement, it returns in two weeks, and it tells you exactly what the rest would do.
Book a diagnostic08 / Full circle
Measurement feeds the model; the model runs the systems; the systems return new measurement. Book a diagnostic.
Two weeks. One measured model of your company. No obligation past the readout.