Technologies
Our Google Cloud–First Technology Ecosystem
We build on Google Cloud as our primary innovation platform, complemented by select partners in AI, data, and cybersecurity. This lets us deliver solutions that are secure, scalable, and ready for what’s next.
Our teams combine managed Google Cloud services with best-in-class tools for data, applications, and automation—so every project benefits from modern architecture, strong security, and reliable performance in production.
Google Cloud–First, Multi-Cloud Aware
Google Cloud is our primary platform for modern data and AI. When your landscape includes other clouds, we design architectures that anchor analytics and AI on Google Cloud while interoperating securely with existing AWS, Azure, Oracle, and IBM workloads.
Google Cloud
Primary platform for our data and AI solutions — BigQuery, Vertex AI, Dataflow, Pub/Sub, Looker, and secure global infrastructure.
Amazon Web Services (AWS)
Interoperate and migrate from AWS to Google Cloud, connecting services like S3 and Redshift into BigQuery-centric architectures.
Microsoft Azure
Integrate Azure applications, identity, and analytics with Google Cloud to enable hybrid and multi-cloud data and AI scenarios.
IBM
Ingest and modernize data from IBM and hybrid systems into Google Cloud–based analytics, AI, and reporting platforms.
Oracle Cloud
Modernize Oracle databases and ERP data into BigQuery and Google Cloud, improving performance, analytics, and long-term flexibility.
Data Engineering & Analytics on Google Cloud
We design and operate modern data platforms on Google Cloud—from ingestion and transformation to BI and AI. Using native GCP services and opinionated architectures, we help you build reliable pipelines, governed datasets, and analytics experiences that scale with your business.
BigQuery Lakehouse
Enterprise data warehouse and lakehouse on BigQuery, supporting ELT, federated queries, and near real-time analytics at petabyte scale.
Looker & Looker Studio
Semantic modeling and interactive dashboards on Looker and Looker Studio, with governed access to BigQuery and other Google Cloud data sources.
Dataflow & Pub/Sub Pipelines
Batch and streaming data pipelines using Dataflow and Pub/Sub to ingest, transform, and enrich data for analytics and AI workloads.
Dataproc & Spark on GCP
Managed Spark, Hadoop, and open-source ecosystems on Dataproc for heavy data engineering, migration workloads, and custom ML pipelines.
Data Governance on Google Cloud
Centralized governance with Dataplex, Data Catalog, and Cloud DLP to manage metadata, quality, security, and lifecycle across your Google Cloud data estate.
AI Tools Orchestrated on Google Cloud
We integrate leading AI and automation platforms into Google Cloud so they work with your data, apps, and security controls. From LLMs and open-source models to RPA and CRM automation, we design opinionated patterns that turn these tools into reliable, production-grade solutions.
Vertex AI & OpenAI
Orchestrate OpenAI GPT models together with Vertex AI on Google Cloud to power chatbots, copilots, and natural-language experiences grounded in your data.
Hugging Face
Deploy open-source NLP, vision, and embedding models from Hugging Face onto Google Cloud, integrated with Vertex AI and BigQuery for custom AI solutions.
UiPath
Connect UiPath RPA bots with Google Cloud services, triggering workflows from Pub/Sub, BigQuery, and Vertex AI to automate end-to-end business processes.
Automation Anywhere
Build intelligent automations that blend Automation Anywhere bots with Google Cloud APIs, analytics, and AI for closed-loop, event-driven operations.
Salesforce Agentforce
Integrate Salesforce Agentforce with Google Cloud data and AI, enabling CRM automation, conversational agents, and predictive insights powered by shared customer data.