Capability Maturity And Status¶
What you can use today, and what is coming next — stated plainly.
We think a platform aimed at regulated institutions should be honest about what is built. This page tells you, capability by capability, what is available today and what is on the roadmap. Nothing here is aspirational dressed up as delivered.
Available Today¶
These capabilities are in production and exercised by the running platform.
| Capability | What it does for you |
|---|---|
| Governed intake and translation | Market data, trades, portfolios, and reference data enter as validated submissions and are translated into canonical objects |
| Readiness and approvals | Every run passes explicit readiness evaluation, approval, and waiver workflow before it executes |
| Config Doctor | Pre-run readiness assessment that tells you exactly why a run is runnable or blocked, and how to fix it |
| Deterministic execution | Regulator-grade analytics run on isolated, dedicated compute |
| Evidence custody | Every run's evidence and artifacts are retained immutably |
| Analytical truth in BigQuery | Results are persisted as canonical analytical facts across six governed dataset families |
| Run registry | A complete, authoritative operational history of what ran and when |
| Workbench | A first-party experience for onboarding, configuration, runs, approvals, results, and evidence |
| Result and insight APIs | Programmatic access to governed results and explainability cases |
| Structural tenant isolation | Your data, execution, and evidence are isolated by Google Cloud project, IAM, and KMS |
On The Roadmap¶
These are designed and, in several cases, already specified as typed API contracts. They are planned, not yet delivered, and we will say so until they ship.
| Capability | Where it is heading |
|---|---|
| Per-entity REST APIs (trades, portfolios, curves) | Direct create/update endpoints alongside today's submission-based intake |
| Run templating and scheduling APIs | Reusable run templates and scheduled execution as first-class APIs |
| Narrative explainability | Rich, conversational explanation of results grounded in your analytical facts, using BigQuery ML and Vertex AI |
| Reporting and dashboards | Governed report packs and embedded BI over your analytical truth |
| Federated multi-geo operating model | Local data, local execution, globally aggregated approved facts for multinational groups |
| Marketplace and self-service | Google Cloud Marketplace subscription and self-service onboarding |
How To Read The Rest Of This Overview¶
Several chapters that follow — particularly AI Architecture and parts of Data, Explainability, And AI — describe the designed target so you can see where the platform is going. Where a chapter describes something not yet delivered, it is labelled on the roadmap. This page is the controlling summary: if a chapter reads as forward-looking, this status page tells you what is real today.
Why This Matters For A Regulated Buyer¶
You are not buying a demo. The deterministic governance-and-execution spine — intake, validation, readiness, approval, execution, evidence, analytical truth, and the workbench over them — is live. The expanding surface (richer explanation, reporting, multi-geo, self-service) builds on top of that proven core, not in place of it.