Top-tier SMEs. Every platform.

Our AWS-certified architects and engineers cover the full spectrum — from serverless compute and managed AI/ML services to enterprise data platforms and container orchestration. We have deep hands-on experience with SageMaker for ML model training and deployment, Bedrock for enterprise LLM integration, Glue and Lake Formation for governed data pipelines, and EKS for production Kubernetes workloads.

For healthcare clients, we specialize in HIPAA-eligible AWS services with BAA coverage, including HealthLake for FHIR-native data storage, Macie for PHI detection, and CloudTrail for immutable audit logging. For government clients, we architect within AWS GovCloud with FedRAMP-aligned controls and ITAR-compliant data handling.

Our GCP specialists bring deep expertise in BigQuery — the world's most powerful serverless data warehouse — and Vertex AI, Google's unified ML platform for building, deploying, and scaling machine learning models. We design Dataflow pipelines for real-time data processing, Pub/Sub architectures for event-driven systems, and Cloud Run deployments for containerized workloads that scale to zero.

GCP's strengths in analytics, AI, and data engineering make it a natural fit for healthcare analytics platforms and government data intelligence systems. Our team has deployed production BigQuery environments processing billions of healthcare claims records — with the governance, lineage, and access controls that regulated data requires.

Azure is often the default choice for healthcare and government organizations already invested in the Microsoft ecosystem — and our Azure SMEs ensure that investment delivers maximum return. We specialize in Azure OpenAI Service for enterprise LLM deployment, Synapse Analytics for unified data warehousing and big data analytics, and Microsoft Fabric for the next generation of integrated data platforms.

Our Azure practice includes deep expertise in Azure Health Data Services for FHIR and DICOM workloads, Azure Government for classified and regulated workloads, and Azure Policy for automated compliance enforcement across complex multi-subscription environments. We have helped healthcare systems and government agencies achieve HIPAA attestation and FedRAMP authorization on Azure infrastructure.

Databricks is the foundation of choice for organizations that need to unify batch processing, real-time streaming, and machine learning on a single platform. Our Databricks architects have designed and operated Delta Lake environments storing petabytes of healthcare and government data — with Unity Catalog for fine-grained access control, MLflow for end-to-end ML lifecycle management, and DBRX for high-performance AI workloads.

We help organizations migrate from legacy Hadoop and Spark clusters to modern Databricks lakehouses that are 3× faster to develop on, significantly cheaper to operate, and dramatically easier to govern. The result is a data platform that your data scientists, data engineers, and AI agents can all use — from the same unified foundation.

Snowflake's separation of storage and compute, combined with its native data sharing capabilities, makes it the ideal platform for organizations that need to share data across organizational boundaries — a common requirement in both healthcare (payer-provider data exchange) and government (inter-agency data sharing). Our Snowflake engineers build governed data products that serve multiple consumers from a single, trusted source of truth.

We specialize in Snowflake Cortex AI for in-database machine learning, Streamlit for operational data applications, and Apache Iceberg for open table format compatibility. Our Snowflake implementations are always designed with FinOps principles — ensuring that compute costs scale with actual usage, not with the size of your warehouse configuration.