Stop building UI wrappers. Start building AI Engines that actually know your data.
Lakehouse ops: query, transform, materialize, and profile datasets.
ML lifecycle: train, version, metrics/leaderboard, and predict.
RAG (Beta): gateway-based — models run elsewhere, lineage stays here.
The Logic-Language Convergence: Powering the next generation of Precision-First AI
Build AI systems that stay explainable from data to deployment.
DG-Fusion Framework
Combine D-Layer (Decision/SQL) accuracy with G-Layer (Generation/LLM) intelligence for verified and grounded outputs.
Lightweight Lakehouse
Enterprise-grade performance on a DuckDB + GCS backbone. Fast, scalable, and built for modern Parquet-native workflows.
Continuous Governance
Every AI response is grounded in versioned datasets with multi-tenant lineage. No black boxes, just traceable facts.
Control plane, not a black box
Xalorra keeps systems coherent: tenant isolation, namespace boundaries, versioned data + models, and lineage across lakehouse ops, ML runs, and RAG runs — behind stable HTTP contracts.
DuckDB-first lakehouse
Multi-tenant by default
Versioned datasets & models
Lineage & reproducible runs
Transform with clarity.
Teams that build workflows
Teams that ship lakehouse workflows
Transform Parquet datasets inside a tenant-safe namespace scope.
Keep every change auditable with lineage: inputs, SQL, outputs, artifacts.
Move fast without losing the truth behind “what changed”.
Xalorra Studio
v1
SQL Editor
ready
SELECT * FROM src
WHERE namespace = 'default'
ORDER BY created_at DESC
LIMIT 1000;
Operate safely.
Teams that operate systems
Monitor predictions with actual-vs-predicted views tied to a dataset + model version.
Serve versioned models behind stable HTTP contracts and predictable resolution rules.
Reduce drift by grounding outputs in dataset versions and persisted artifacts.
Xalorra Studio
v1
Actual vs Predicted
last 24h
dataset: v2model: logreg_v5drift: low
Govern without blind spots.
Teams that govern changes
Compare runs with explainability signals (e.g., feature importance) per model version.
Audit decisions with reproducible lineage — not screenshots and guesswork.
Keep controls enforceable as teams and tenants scale.
Xalorra Studio
v1
Feature Gain
top 8
f_1
92
f_2
86
f_3
74
f_4
62
f_5
54
f_6
44
f_7
33
f_8
26
AUC
0.91
F1
0.84
Built for serious teams
If you’re tired of prototypes that die in production, this is the opposite: strict contracts, tenant-safe storage paths, and reproducible runs with lineage you can defend.
Platform
Predictable platform contracts
Stable endpoints for lakehouse ops, transforms, ML serving, and RAG tooling.
Security
Governance-ready by design
Tenant isolation, namespace boundaries, and consistent access patterns across the stack.
Repro
Versioned data, models, artifacts
Reproducibility without brittle notebooks and ad-hoc scripts.
Teams
Built for multi-role workflows
Data teams operate. ML teams iterate. Product teams ship — without losing system truth.
Everyone ships demos.
We ship the parts that make it real: data versions, model versions, lineage, and governance.