There is an outcome you are accountable for.
A recovery rate. A quarter's demand. A candidate that has to survive the next gate. Something with a number on it and your name next to it.
It is pulled by causes you can see…
Treatment. Price. Dose. Staffing. The things on your dashboard.
…and by causes you can't.
Who gets treated. Which customers see the offer. Which compounds made it to the assay. The quiet forces that decide what your data looks like.
A forecast tells you where it's heading.
It can't tell you how to change it. Acting changes the world the forecast was built on, and most AI stops here.
Changing it means finding the lever that actually moves it.
Not the correlation. The cause. And knowing how sure you are, and what it costs to be wrong.
Act, and be able to say why.
A decision you can explain to a regulator, a board, or a patient, with the reasoning attached.
That is outcomes engineering.
Run it yourself, or run it with us.
Outcomes Engineering Loop
Outcomes engineering is a repeatable loop: five steps from a stuck outcome to one you can change.
Darkstar
Run the loop yourself. Darkstar is our browser-based workspace for probabilistic graphical models, in production today: model the outcome, test the levers, and solve for the decision, with every assumption and its uncertainty in view.
Free to start, no credit card. Paid plans when you need more. SDKs and an agent interface put the same engine inside your own software.
Learn
Probabilistic graphical models map the causes behind an outcome as a graph, with the uncertainty made explicit. Build your confidence with them, one model at a time.
One real decision per post
Loyalty offers, demand under weather and events, sepsis alerts, drug candidates, a goalie change. Each post frames the decision, builds the model, tests the levers and shows the code.
Read the blog YouTube · @rocketvector-aimlProbabilistic modeling, on screen
A nine-part series that starts with a first model and works up through time-series models, decision-making and structured graphs, built live in Darkstar.
Watch the seriesAbout us
AI is very good at predicting outcomes. Most dashboards can forecast one; almost none can show you how to change it. Rocket Vector exists to close that gap, and we build the engine ourselves, from the math up.
Make the assumptions visible.
Every model is inspectable, and the software says so when a method doesn't apply.
The decision stays yours.
You stay in control, with the reasoning ready to inspect.
Teach what we know.
Free articles, videos and examples you can run.
When you want a hand, we work alongside your team on:
- Framing and modeling your outcome
- Private deployment and licensing
- Drug discovery and materials programs
Rocket Vector is a small, founder-led company based in Virginia, United States, and a service-disabled veteran-owned small business (SDVOSB). Our examples span healthcare, retail and operations, sports, and the life sciences.