# AI & Data Analytics Platforms

> The heavy lifting: lakehouses and AI platforms built to last. We design and build enterprise data and AI platforms on Databricks, Snowflake, Microsoft Fabric, Google BigQuery / Vertex AI or AWS-native services: ingestion, lakehouse storage, governance catalogues, BI, feature and vector stores, model

Source: https://aibyos.com/services/platforms

▣ Capability

# AI & Data Analytics Platforms

The heavy lifting: lakehouses and AI platforms built to last.

[Discuss Data & AI Platforms](https://aibyos.com/contact)[Compare options →](https://aibyos.com/platforms/platforms)

We design and build enterprise data and AI platforms on Databricks, Snowflake, Microsoft Fabric, Google BigQuery / Vertex AI or AWS-native services: ingestion, lakehouse storage, governance catalogues, BI, feature and vector stores, model serving and GenAI, sized for many teams and years of growth. See “Platforms & cloud” below for how to choose.

## Typical use cases

### Greenfield lakehouse for AI

**Challenge.** Data lives in dozens of operational systems and spreadsheets; every AI project starts with months of data wrangling.

**What we build.** A governed lakehouse with medallion layers, a unified catalogue, CI/CD for pipelines and self-service access for analytics and AI teams.

### Legacy DWH / Hadoop modernisation

**Challenge.** An on-prem warehouse or Hadoop cluster is expensive, slow and blocks GenAI use.

**What we build.** Phased migration to a cloud platform with automated code conversion, reconciliation testing and parallel runs until cut-over.

### Unified BI + AI platform

**Challenge.** BI, data science and GenAI teams each run their own stack with duplicated data.

**What we build.** One platform where the same governed data feeds dashboards, ML models, vector search and LLM applications.

## What you get

-   Platform architecture & choice rationale
-   Infrastructure & pipelines as code
-   Governance catalogue, lineage & access model
-   FinOps dashboards and operating model

## Typical stack

-   Databricks
-   Snowflake
-   Microsoft Fabric
-   BigQuery / Vertex AI
-   AWS Glue / Redshift / SageMaker
-   Delta Lake / Iceberg
-   dbt
-   Terraform

Examples

## Use cases with Data & AI Platforms.

[Finance & Insurance Lakehouse & AI platform for an insurer Replace an ageing data warehouse with a governed platform for BI, pricing models and GenAI. _Data & AI Platforms__AI Landing Zones__Data for AI_ Open →](https://aibyos.com/use-cases/lakehouse-insurer) [Retail & E-commerce Microsoft Fabric analytics + Copilot for retail One platform for sales analytics, demand forecasting and natural-language reporting. _Data & AI Platforms__Data for AI__LLM Apps & Copilots_ Open →](https://aibyos.com/use-cases/fabric-retail)