v1 One engine. Every layer. Zero glue.

The unified, AI-native platform for data and apps.

Ingest anything, model your domain once, and ship secure apps on top — over a single authorization engine that every layer consults. Intellixity is the substrate; you write the product, not the plumbing.

Start building Read the SDK

Lakehouse · Bounded contexts · RBAC + ABAC + ReBAC · Durable journeys · Governed RAG

~/sales — intellixity deploy

# author your domain, the platform writes the plumbing

❯ intellixity apply sales/*.yml

entity orders registered · type=table

connector sap.invoices bound · secrets ← vault

policy orders.read compiled → query AST

lake → entity stream live · exactly-once

journey order-fulfilment deployed

✔ live in tenant acme — 1 context, 0 servers managed

❯

the platform

Code your domain.
The platform writes the plumbing.

Define entities, policies, events, and journeys as versioned YAML — by hand, in the visual editor, or with an agent. Intellixity provisions the lakehouse, the streams, the gateways, and the access rules automatically. No context-switching between six consoles.

One source of truth. A single canonical user id and one policy engine every layer consults — no second authorization system anywhere.

Land everything, reconcile later. Schema-on-read ingestion with DLQ, idempotent upserts, and tombstone deletes. Bad data lands; it never blocks.

Authoring is code. Visual editor, agents, and hand-written YAML all compile to the same versioned, auditable artifacts.

sales/entities/order.yml

entity: Order
  type: table
  fields:
    id: uuid
    total: decimal
    email: string  # pii
  pii: [email]  # encrypt at rest, project on read
  relations:
    customer: { ref: Customer, kind: n:1 }
  source: { lake: orders_raw, sync: stream }
  access: orders.read  # filter mode → row scope

developer experience

A typed SDK for your whole stack.

Every connector, entity, and endpoint becomes a typed client, generated from the registry. Query across stores, call external systems through the anti-corruption layer, emit events, and run journeys — all from one bounded-context module in your IDE.

Persistence that hides the engine. ANSI SQL core with typed extensions for vector and graph. Aggregate = transaction boundary: ACID within, sagas across.

External world, behind a registry. Your code never calls SAP directly — it calls sap.*, with schema, auth, retries, and circuit breakers built in.

use-case.ts

policy.yml

journey.yml

// bounded context: sales — one module, the whole stack
export async function placeOrder(input) {
  const order = await sales.orders.persist(input);

  // authz-scoped query across entities
  const view = await sales.query`
    SELECT o.*, c.tier FROM orders o
    JOIN customers c ON c.id = o.customer`;

  // external system via the endpoint registry
  await sap.createInvoice(order.id);

  // fire a domain event onto the bridge
  emit("OrderPlaced", { id: order.id });
  return order;
}

policy: orders.read
modes: [decide, filter, project]
rbac: role in [sales_rep, manager]
abac: ctx.region == subject.region
rebac:  # relational row scope → query AST
  scope: order.owner ~ subject OR
       order.team in subject.teams
clearance: confidential  # ceiling, not a grant
project:  # field-level decisions
  email: mask unless role == manager
# deny-overrides · zookie-consistent · tenant-scoped

journey: order-fulfilment
start: placed
states:
  placed:
    on: approve → packing
    form: ApprovalForm  # role-aware variant
  packing:
    await: signal(warehouse.shipped)
    saga: [reserve, charge, label]
    compensate: [refund, unreserve]
  shipped: { close: on-deliver }
# durable execution · retry · replayable

out of the box

The platform tooling, without bolting on tools.

Nine subsystems that usually mean nine procurement cycles. In Intellixity they share one identity, one policy engine, and one observability plane.

Unified Access Control

One engine composing RBAC, ABAC, ReBAC and a clearance lattice — with Decide, Filter, and Project modes consulted by every layer.

Ingestion & Lakehouse

HTTP, TCP, SQL, and big-data connectors stream into a Delta lakehouse, then sync to operational entities — exactly once.

Bounded Contexts

Domain-driven boundaries with entities, domain models, and an enforced context map — sync via API, async via events.

Event Bridge

Schema'd events from domain logic or database CDC, with server-side filtering and consumer groups before anything is consumed.

Durable Journeys

State machines on a durable runtime: retries, sub-journeys waiting on signals, sagas, and compensation that actually replays.

API & Socket Gateways

Rate limits, retries, and auth at the edge — delegating every decision to the one engine. WebSocket fan-out with per-tenant isolation.

Observability & Audit

Distributed tracing in your abstractions — per journey, saga, and tenant — plus read-auditing: who saw which PII field, when.

Multi-tenancy & Isolation

Physical or logical isolation per tenant, fair-share quotas, tenant-scoped invariants, and BYOK customer-managed keys.

Custom Apps & Forms

Branded, versioned apps with a page builder, role-aware views, wizard forms, and tenant-authored React or Vue components.

ai-native, for real

Built for agents — and the guardrails they need.

"AI-native" shouldn't mean a chatbot bolted on. It means the platform's hardest capability — authorization — becomes the thing that makes AI safe to ship.

flagship

Authorization-aware retrieval

Filter mode runs inside the vector search. Every RAG query respects row- and field-level permissions per user — governed retrieval you can't buy off the shelf.

Agents propose, the log proves

Agents draft policies and entities as YAML. Before anything ships, the replayable decision log shadow-runs the change and shows the exact access diff for sign-off.

Typed context for reasoning

Every entity, endpoint, and policy is a typed, versioned artifact. Agents reason over real schemas and contracts — generated code type-checks before it lands.

from raw events to running apps

Four moves, one platform.

Ingest & model

Connect sources, land data in the lakehouse, and define each entity once — operational or lake-fed, your call.

Compose domains

Build bounded contexts with the typed SDK, wire events across them, and attach policies and guardrails.

Govern centrally

One engine decides, filters, and projects across data, APIs, journeys, and UI — no second authorization system.

Ship apps

Assemble journeys, forms, and branded apps. Agents help author; the platform enforces and audits everything.

authorization engine for every layer

storage modalities, one query surface

servers to manage per bounded context

∞

tenants, isolated by design

why teams switch

Less glue. More product.

"We deleted three internal services — auth, an event bus shim, and a permissions cache. Intellixity's one engine does all of it, and the row-level scope just shows up in our queries."

Priya N.Platform Lead, fintech

"The typed SDK is the whole pitch. A new engineer writes sales.query() on day one and gets governed data back. Onboarding went from weeks to an afternoon."

Marco D.Staff Engineer, logistics

"Governed RAG sold our security team. Retrieval that respects per-user permissions meant we could finally put an assistant in front of regulated data."

Amara K.Head of Data, healthtech