Company.
Built for audits, not applause.

Xalorra exists because most AI prototypes collapse the moment real constraints show up: multi-tenant isolation, governance, reproducibility, and “prove it later” requirements. We build the boring-critical control plane that keeps systems coherent.

Control plane, not a black box
Versioned datasets & models
Tenant isolation by design
Open Studio

Why

We optimize for operational truth.

We’re not trying to look magical. We’re trying to make AI workflows auditable months later.

Audits don’t accept “trust us.”
Teams need lineage, artifacts, and deterministic resolution—not screenshots and guesswork.
Multi-tenant is not an afterthought.
Isolation must be designed-in. Otherwise governance becomes an incident response plan.
Reproducibility is a product feature.
Versioned datasets and models turn “it changed” into “here is exactly what changed.”
Stable contracts beat clever glue.
HTTP contracts, artifacts, and predictable workflows reduce tribal knowledge and hidden coupling.

What we build

A backend-first control plane for AI workflows.

Core is stable: lakehouse ops and versioned ML workflows. Beta evolves: gateway-based RAG and deploy flows. Xalorra does not host foundation models.

Lakehouse operations (Core)
Query, transform, materialize, and profile datasets on a DuckDB + Parquet-native backbone.
ML lifecycle (Core)
Train and version models with clear dataset scope, metrics/leaderboards, and stable predict endpoints.
RAG (Beta)
Gateway-based RAG runs: index, retrieve, and assemble context with traceable runs—without hosting LLMs.
Deploy (Beta)
Serve versioned models with stage control and predictable resolution rules tied to artifacts and lineage.
What we are not
Not a hosted foundation model provider. Not a black-box agent platform. Not notebook glue. Xalorra is the control plane that keeps data, versions, and governance coherent.
Stable HTTP contracts
Tenant isolation
Versioning
Lineage
Artifacts

How we think

Built for teams that ship responsibly.

We’re opinionated about the fundamentals, because that’s what makes AI usable beyond the demo.

Principle
Truth over theatrics
If a claim can’t be traced to artifacts and lineage, it’s not product value—just copy.
Principle
Constraints are a feature
Guardrails make teams faster because mistakes become harder to ship.
Principle
Operational coherence
Stable contracts, predictable artifacts, and scoping rules reduce chaos as systems grow.
Principle
No hosted LLMs by default
LLMs run outside. Xalorra provides gateway, context assembly, governance, and traceable runs.

Build something you can explain later.

If you’re done with fragile prototypes, let’s talk about stable contracts, tenant isolation, and traceable runs.