⚖ Patent Pending·U.S. Provisional Patent Application No. 64/074,007
Steaded
Steaded Ground — the substrate for governed AI applications
Pre-launch · USPTO 64/074,007 · provisional filed 2026-05-25

A foundation that audits itself, holding the things we build on top.

Steaded Ground is the first product built on the Substrate — a locked-foundation + configurable-layer architecture where AI-led construction phases produce components that inherit governance, audit, versioning, and reproducibility from the foundation itself.

The substrate is patent-pending. The product is in pre-launch. This site is informational while we get ready — browse the capabilities, functions, and architecture below.

The four claims

What the substrate guarantees — and why those guarantees are the patent claim.

Reproducibility-grade audit

Every write produces an immutable envelope bound to actor, rationale, prior/new values, and timestamp. The database itself refuses to delete audit rows. Capability invocations bind the exact prompt version, model, inputs, and result — replayable months later.

Unified dispatcher for every AI call

No bypass path. Every capability has both a live AI implementation and a deterministic static fallback that returns the same shape — the app stays functional whether the API key is present or not. Cost, tokens, duration recorded per invocation.

Unified event principle

Every event — domain events, meta-events for onboarding, governance ops, gap-spawned tech events, naming reviews — lives in one table with one shape. Pending isn't a place; it's a where-clause. Status is a column.

Customer extension without forking

Per-tenant capabilities and event-type definitions resolve via NULLS LAST against platform defaults. Customers personalize their version of any record; cross-tenant isolation is RLS-enforced. Vertical packs add domain stores without touching the foundation.

What Steaded Ground is

Browse what's on its way.

Every AI call in Steaded Ground goes through one place — a unified dispatcher that records the exact prompt version, model, inputs, and result against the originating event. No bypass path. Every capability has a live AI implementation and a deterministic static fallback that returns the same shape, so the app keeps working whether the API key is present or not.

Documents
doc.detect_type

Classifies every incoming document against the tenant's type registry. Refuses to bin into a junk category — if no type fits, the doc lands in operator triage with AI-suggested new types.

doc.extract_fields

Pulls the schema-defined fields out of any classified doc and binds them onto the document's payload for downstream steps to reference.

doc.compare

Compares two documents and surfaces discrepancies with severity, evidence, and a recommended action.

doc.generate

Composes new documents from event context — engagement letters, status reports, regulatory filings — bound to the originating event for full audit trail.

Compliance & risk
cls.regulatory

Classifies an event against active regulations and surfaces which clauses apply, with citation paths.

cls.stakeholder_routing

Pulls the org map and identifies required approvers, notification recipients, and escalation chain — surfaces gaps in crimson when a role is unfilled.

comp.audit_narrative

Composes a prose narrative of every change on an event, with evidence references and decision points spelled out.

comp.communication

Drafts stakeholder communications keyed to event state, audience, and risk tier.

Operations
val.pre_existence

Detects duplicates, updates, and conflicts against existing records before an inbound payload is admitted to substrate stores.

anom.detect

Flags suspicious patterns inside an event's activity stream — unusual approvers, off-hours decisions, anomalous spend.

exc.classify

Categorizes failures, exceptions, and edge-case outcomes so they route to the right reviewer with the right context.

res.reference

Resolves natural-language references ("the Northwind wire from last Thursday") to canonical substrate record IDs.

Onboarding & execution
onboarding.flow_extraction

Reads the in-flight onboarding chat and progressively paints the procedure flow as the operator describes it — live diagram refresh every turn.

step.summarize

Captures a 1-2 sentence narrative for each completed step plus structured outputs bound to context — downstream prompts surface this automatically.

step.assist

AI replies to step contributions when an operator @-mentions @ai or asks a question on a step thread.

event.simulation

Runs 50 adversarial scenarios against a landed event-type definition to stress-test robustness before it goes live.

Customer-facing
client.concierge

The chat-first concierge surface external customers interact with. Action-token vocabulary launches requests, checks status, attaches/requests docs, escalates to a human — all without leaving the chat.

Substrate integrity
agent.ui_health

Tests the substrate's own user-facing surfaces. Reports findings as comments anchored on substrate-itself.

agent.event_integrity

Verifies in-flight events still reference real type definitions, capabilities, and stakeholders.

agent.data_integrity

Checks cross-store invariants — ingress lineage, doc payloads matching their classification, audit chain completeness.

agent.substrate_integrity

Verifies the substrate's claims about itself agree across capability registry, prompt registry, and meta-event registry.

audit.query

Prompt-driven query layer over the central audit log. Operators ask in plain English; the agent translates into a scoped audit search with citations.

training.grader

Scores synthetic event runs in the training surface against a gold-standard. Results land in operator-competency signals.

Inventor

Matthew Mena

Sole inventor on the provisional. Holds the patent rights pending assignment to Steaded. Reach out at matthew@steaded.ai.

Company

Steaded

Builds and ships Steaded Ground. Pre-launch — we're not signing customers yet. When we open access, this page will tell you.