The autonomous driving stack for finance.

A price feed is a sensor. A market is a road. We build the self-driving stack on top.

Explore the platform Open live feed

Autonomous vehicleHow machines drive

CausaQuantHow capital allocation drives

The sensorLidar, camera, radar

InputPrice time series

The asset's live reading of the world

Driving simulatorPossible trajectories

LiveForward price cone

The full distribution of where price could move

Multi-agent modelRoad users interact

ValidatedJoint Market Map

Co-dependence and tail contagion across the book

Lane keep and routingMPC and RL plan ahead

ValidatedAutonomy Engine

Looks ahead, then rebalances within constraints

Safety caseA crash can be reconstructed

ScalingCausal Attestation

Explains how shocks propagated through the system

The same autonomy stackA different vehicle

Capital can execute. It cannot yet see the road.

01A price is a sensor reading

A point forecast hides the full shape of what an asset can do next.

02A portfolio needs a map

Assets bind together differently in normal markets and in the tails.

03Allocation needs a test track

Every rebalance should be evaluated inside coherent futures before capital moves.

The self-driving stack for capital.

A price feed is the sensor. The joint distribution is the map. The simulator is the test track. The Autonomy Engine is the planner.

SenseForward distributions

MapJoint movement

SimulatePortfolio futures

AllocateConstrained calls

AttestEvidence and forensics

Map first. Simulate next. Then act.

Each product is a view into the same forward-generative engine.

Working prototype

Market Map

The joint movement of the whole book, including the tails.

Cross-asset attention learns co-dependence that a covariance matrix cannot express, especially when markets sell off together. The map refreshes as market structure changes.

Autonomy roleMapping layerBuilt forCIO offices and multi-strategy teams

Joint structureEveryday dependence

Building with design partners

Portfolio Simulator

Stress your book inside coherent market futures.

Change volatility, flip a regime or shock one asset. Real sampled paths are reweighted so the entire joint distribution responds coherently, rather than producing an isolated stress that breaks the rest of the book.

Autonomy roleSimulation and test trackBuilt forRisk, validation and portfolio teams

Joint portfolio responseContained dispersion

Validated prototype

Autonomy Engine

Closed-loop allocation with constraints inside the solver.

Model Predictive Control evaluates the paths ahead, manages tail risk and returns bounded rebalance calls inside customer infrastructure. The gradient that measures risk also helps steer the allocation.

Autonomy rolePlanning and controlBuilt forRobos, agents and automated portfolios

SimulatePlausible futures

EvaluateTail-aware objective

AllocateConstraints enforced

ObserveState updates

Control loopBounded autonomy

Working prototypes, measured out of sample.

The allocation prototype was evaluated after the training cutoff with daily rebalancing and modeled transaction costs.

See our results

Best tested Sharpe2.54

Sortino5.68

Test windowJan-Apr 2026

The system knows when to distrust itself.

Model health and evidence complete the decision loop without competing with it.

Building

Regime Watchtower

The model continuously scores how probable new observations are under what it learned. When reality becomes persistently surprising, the Watchtower marks the downstream risk view as suspect.

Research stage

Causal Attestation

Market shocks become natural experiments. Attestation reconstructs the propagation path and reports calibrated confidence without claiming certainty from correlation.

The perception layer is already running.

Distribution Feed turns each asset into a forward risk surface: the full price cone, four distribution moments, volatility clustering, drawdown ranges and tail metrics from one generative object.

Open Distribution Feed

Build with the autonomous driving stack.

Bring a portfolio, a workflow or an allocation system. We will show where forward simulation fits.

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