Enterprise Data & AI Platform Infrastructure
Assembled, Managed, Sovereign. Everything your data team needs — one platform, your cloud.
Everything your data team needs — lakehouse, catalogs, governance, pipelines, and AI agents — one platform, deployed in your environment.
Managed Snowflake-Class Lakehouse
GCP, OVH, AWS, Azure
Complete open-source lakehouse — query/analytics engine (Trino), Iceberg with Hive/PG, catalog governance / Global Catalog, RBAC, observability, and backup/recovery. Everything assembled and production-ready.
Connect Any Data Source
Any Source
Register Postgres, MySQL, MongoDB, S3, Prometheus, SaaS APIs, and 20+ connector types. Auto schema discovery.
SaaS Lake
100+ SaaS Sources as SQL
Query your SaaS applications — CRM, HRIS, DevTools, cloud billing, marketing — as SQL tables. First-in-market RBAC governance on SaaS data. Control who sees what, across every source.
SQL Workbench
Query & Visualize
Browser-based SQL workbench with smart variables, 24+ chart types, and reusable query library. Built for analysts.
Governance & Quality
Data Catalog & RBAC
Column-Level Control
Fine-grained access policies — column masking, row filtering, schema-level grants. Full audit trail with decision logs.
Data Quality Monitoring
Scheduled Checks
Automated data quality checks with anomaly detection and threshold alerts.
Data APIs & Products
SQL to REST API
Turn any SQL query into a secured REST API endpoint. Build and publish data products for consumption across teams.
Aria — AI Data Agent
Natural Language to Results
Set-up semantic layer, ask questions in plain English, get accurate SQL results. Powered by your lakehouse data, scoped to your RBAC policies. Connect from anywhere.
Managed Flink
Real-Time Streaming
Stream processing for real-time data pipelines alongside your Iceberg lakehouse.
Managed Spark
Large-Scale Processing
Batch processing at scale, fully integrated with your Iceberg tables and data catalog.
Managed DBT
Transform Layer
SQL-based transformation with version control, lineage tracking, and scheduled runs.
Lakehouse Ops
Automate & Maintain
Materialized view scheduling, Iceberg table maintenance, compaction, log archiving, and managed DAG execution. Your lakehouse runs itself.
ML / AI Ops
Fine-Tuning Engine
Your Data, Your Models
Fine-tune open-source models (LLaMA, Mistral, Qwen) on your data. Managed training runs with experiment tracking.
Unified Model Endpoint
One API, Many Models
Single API endpoint across OpenAI, Azure, Anthropic, and your fine-tuned OSS models. Automatic failover and load balancing.
Model Deploy & Auto-Scale
Cloud-Native Serving
Deploy any model to your cluster with automatic scaling — scale to zero when idle, scale up on demand. GPU-aware scheduling with cost optimization.
Managed MLflow
Full MLOps Lifecycle
Experiment tracking, model registry, and deployment pipelines. End-to-end model lifecycle management.
Managed Kubeflow
Distributed Training
End-to-end ML pipelines with distributed training, hyperparameter tuning, and model serving.
Model Monitoring
Drift & Performance
Data drift detection, performance degradation alerts, and automated retraining triggers.
Contact Us
Ready to transform your AI operations? Let's discuss how we can help.