Evidence before confidence.
A plausible explanation isn't a dependable model of a business. Relationships should have sources, assumptions should be inspectable, and unknowns should stay unknown until there's evidence.
An operational world model for AI
Rehearse the future.Then act.
We're building a living model of your company so frontier AI agents could rehearse a change, trace its ripple effects, and surface what might break before taking action.
CONTEXT · CONSEQUENCE · CONTROLUnderstand the system. Then change it.
01 / The product
A view of the whole.
Ahead of the change.
Frontier models supply the reasoning.
Martian is building the world they reason over.
Today, company knowledge is scattered across documents, tools, and people. We're building an operational world model that connects system state, dependencies, and the reasons behind past decisions. The ambition: give Opus-class agents an environment to explore what a proposed change could affect, identify what they still don't know, and bring a plan back for human review.
01Context that stays aliveA graph that evolves with your systems, workflows, and decisions.WORLD STATE
02Rehearse the ripple effectsExplore how a change could propagate across the business.SIMULATION
03Make uncertainty visibleSurface missing context, test assumptions, and review the plan.HUMAN REVIEW
02 / The living graph
A company is a system.
Context should be, too.
A document captures a moment. A company keeps moving. Martian's ambition is a shared world state that connects what exists, how it depends on everything else, and why it became that way.
S / 01SystemsServices & dependencies
S / 02WorkflowsProcesses & handoffs
S / 03DataState & provenance
M / WORLD STATEmartianRelationships. History. Change.
D / 01DecisionsIntent & tradeoffs
D / 02PeopleOwners & approvals
D / 03ConstraintsPolicies & boundaries
Conceptual architecture · Explore the layers above. The model is only as useful as the relationships it can explain.
01 / BEYOND RETRIEVAL
From finding facts to following relationships.
The goal is to connect a service to the workflow it supports, the team that owns it, and the decision that shaped it.
02 / BEYOND A SNAPSHOT
Yesterday's context isn't today's reality.
A useful world model needs to track change, retain its history, and reveal when an assumption has gone stale.
03 / BEYOND ONE AGENT
A shared frame of reference.
We're exploring a context layer that different frontier agents could reason over without rebuilding the company from scratch.
03 / The rehearsal
Every action has a shadow.
Explore it first.
Before changing the real system, an agent should be able to ask a harder question: what else changes with it? We're building toward a place to explore those consequences, including the ones nobody thought to ask about.
What if we release a new billing service?
ILLUSTRATIVE REHEARSAL01 / PROPOSE
Replace the billing service
Define the change, its intended outcome, and the boundaries the agent must respect.
02 / TRACE
Follow the dependencies
Map the payment gateway, invoice jobs, and finance reports that depend on the service.
03 / REHEARSE
Explore downstream effects
Test whether a changed event format could interrupt reconciliation or delay invoices.
04 / REVIEW
Return a plan, not a surprise
Bring the evidence, unresolved questions, and proposed safeguards to the people who own the decision.
A consequence to investigate
The finance pipeline may rely on the existing event schema. A successful deploy could still create a failed business workflow.
A question that stays open
Which downstream consumers are undocumented? Missing relationships should remain visible instead of being treated as proof that no risk exists.
An illustration of the intended experience. These scenarios are authored examples, not live simulations or product results.
04 / The design principles
Powerful reasoning.
Grounded in reality.
Frontier models keep getting more capable. The environment they work in needs to catch up. We're focused on the layer between intelligence and the consequences of using it.
Rehearsal before execution.
Reasoning about an action and taking it belong in different environments. Exploring a possible change should leave the real business untouched.
People at the decision boundary.
The goal is a richer basis for human judgment: a plan with its dependencies, potential consequences, and open questions laid out for review.
Better models. A deeper world.
We're building around frontier reasoning, including Opus-class agents. As the models improve, a connected operational world could give that intelligence more meaningful work to do.
05 / What's next
The next frontier isn't another answer.
It's understanding what follows.
We're early in building an environment where AI can reason about a company's moving parts before moving them. A living graph. A place to rehearse. A clearer view of what comes next.
Follow for updates