One model of how your company actually works.
Every driver, every effect, the time each effect takes to land, held as one living causal model. Everything below is that model, turned to face a different way. Don't just read it. Run it.
The structure does the thinking.The language model only talks.
At the center is a real graph of your company. Every node is concrete. Every edge is a measured cause and effect with a direction, a strength, a confidence, and a lag.
The reasoning happens there, in math. The hard part isn’t any single method. It’s the engine we built around them, which runs several at once, reconciles them where they disagree, and weighs what they find against what actually happened the last time Vyom acted. That is what holds up on messy, real-world data, where one method on its own falls apart. Pull the language model out and Vyom still runs. It only goes quiet.
Six things run on this one model at once.
Not six products. Six faces of one structure. Click a face.
See the consequence before you take it.
Vyom fixes the change you’re weighing as a real input and propagates it forward through your structure, in lag order, until it plays out. Toggle the branches. Watch the numbers move.
When you decide, that same forward pass becomes real, and it propagates: the person hit first hears first, and everyone affected is told what it means for the outcomes they own. Not a mass email.
A recommendation that can't act is only advice.
Execution runs across three surfaces, in this order of trust. Open each.
The reasoning is kept.The model tightens.
The most expensive thing a company loses is why. Vyom keeps it on the same graph the decision was reasoned on. Ask it.
Your company's model,built on a model of how every company works.
Your deployment builds a living causal model of your specific company. Underneath every deployment sits something larger: a world model of how enterprises actually operate, learned from the broad public record of how companies run, the numbers and the text that explains them. Because it has learned how operations respond to action, it can answer what happens if you act, not just what comes next, and it already tells a healthy process from a failing one before it sees your first record.
what happens if we do this, an intervention, not just a forecast.It reasons down the real wiring, not a chart. The same structure carries from a job site to a power grid to a plant floor.
It gets sharper with every company, privately.
Each deployment makes the shared model better for all the others, with no company's data ever leaving its own walls. A signature learned at one operation protects the next, and a company that joins later starts with what earlier ones already taught it. Prevention is the floor. A company that compounds its own intelligence is the ceiling.
Where this stands, plainly
The causal engine that reasons over your company and answers do(·) runs today, and everything the product does, it does on that engine. The full from-scratch world model is the frontier we're building toward. The architecture, the training approach, and the way we score it against known ground truth all exist. What remains is the compute and the research time to train it at scale. We won't pretend it's finished.
Real engineering, scored against ground truth.
Because the data is synthetic today, we do what no real deployment can: generate companies whose true cause-and-effect structure we already know, then score Vyom against that truth.
Genuinely outstanding: exactly two things
Large-GPU spend to pretrain a company-scale model beyond today's causal engine, and live external hookups to real partners' systems. Everything before those two lines is built and proven against ground truth. Vyom is pre-seed and pre-revenue, with zero live customer deployments, looking for design partners to be the first.
Where it runs, who sees your data, what you sign up for.
The plain terms, before anything else. No surprises later.
Come build the model of your company.
If you run an operations-heavy business and want to be among the first companies Vyom models, we should talk.
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