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.
Lakehouse · Bounded contexts · RBAC + ABAC + ReBAC · Durable journeys · Governed RAG
Every primitive you'd otherwise stitch from a dozen vendors — one platform, one authoring model
the platform
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.
developer experience
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.
sap.*, with schema, auth, retries, and circuit breakers built in.out of the box
Nine subsystems that usually mean nine procurement cycles. In Intellixity they share one identity, one policy engine, and one observability plane.
One engine composing RBAC, ABAC, ReBAC and a clearance lattice — with Decide, Filter, and Project modes consulted by every layer.
HTTP, TCP, SQL, and big-data connectors stream into a Delta lakehouse, then sync to operational entities — exactly once.
Domain-driven boundaries with entities, domain models, and an enforced context map — sync via API, async via events.
Schema'd events from domain logic or database CDC, with server-side filtering and consumer groups before anything is consumed.
State machines on a durable runtime: retries, sub-journeys waiting on signals, sagas, and compensation that actually replays.
Rate limits, retries, and auth at the edge — delegating every decision to the one engine. WebSocket fan-out with per-tenant isolation.
Distributed tracing in your abstractions — per journey, saga, and tenant — plus read-auditing: who saw which PII field, when.
Physical or logical isolation per tenant, fair-share quotas, tenant-scoped invariants, and BYOK customer-managed keys.
Branded, versioned apps with a page builder, role-aware views, wizard forms, and tenant-authored React or Vue components.
ai-native, for real
"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.
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 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.
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
Connect sources, land data in the lakehouse, and define each entity once — operational or lake-fed, your call.
Build bounded contexts with the typed SDK, wire events across them, and attach policies and guardrails.
One engine decides, filters, and projects across data, APIs, journeys, and UI — no second authorization system.
Assemble journeys, forms, and branded apps. Agents help author; the platform enforces and audits everything.
why teams switch
"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."
"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."
"Governed RAG sold our security team. Retrieval that respects per-user permissions meant we could finally put an assistant in front of regulated data."
Model a domain, attach a policy, and ship a governed app today. Migrate the rest at your own pace with the strangler pattern built in.