Cloud · Data · AI Engineering

Move to the cloud. Automate the work. Put AI into production.

Satva Group helps enterprises migrate to Azure, AWS and Google Cloud, build reliable ETL pipelines and BI reporting, automate testing end to end, and deploy AI and machine learning that runs in real operations.

pipelineerp-to-azure / prod
sourceOracle 19c · 4.2 TB
targetAzure SQL + Synapse
etl.jobs148 / 148 passing
regression.tests2,316 automated
cutover readiness
ml.forecastdeployed · drift 0.4%
3Hyperscale clouds: Azure, AWS, GCP
7Practice areas, one delivery team
24×7US-based delivery and support
100%Automated test gates on every release
What we do

Seven practices that cover the full data and cloud lifecycle

From the first assessment to production AI, one team owns the outcome. When you need people on your own team, our staffing practice supplies them.

AI-first delivery

AI that runs in production, with automation built around it

We design models alongside the pipelines, monitoring and governance they need, so results hold up after go-live.

Predictive ML

Demand forecasting, churn prediction, anomaly and fraud detection.

Generative AI

LLM assistants, RAG over company documents, and AI agents connected to your systems.

Intelligent automation

Document processing, RPA and workflow automation that removes manual steps.

MLOps and governance

Model registries, CI/CD for models, drift monitoring and responsible-AI review.

Cloud platforms

Certified across the three major clouds

Microsoft AzureSynapse, Data Factory, Fabric, AKS, Azure OpenAI, Azure ML
Amazon Web ServicesRedshift, Glue, Lambda, EKS, SageMaker, Bedrock
Google CloudBigQuery, Dataflow, GKE, Vertex AI, Looker
How we deliver

A five-stage engagement model

Stage 1

Assess

Inventory systems, data and risks. Define the target state and business case.

Stage 2

Design

Architecture, security, landing zones and data models signed off up front.

Stage 3

Build

Pipelines, migrations and models delivered in two-week sprints.

Stage 4

Validate

Automated regression, data reconciliation and performance testing.

Stage 5

Run

Managed operations, monitoring and continuous optimization.

Planning a migration or an AI initiative?

Talk to an architect