We build in four disciplines

Data

Platforms that go live in weeks

We design the data platform and then move you onto it. Our accelerators handle the schema conversion, the pipeline work and the validation, which is the part that usually turns a migration into a multi-year program.

Capabilities

• Data strategy & governance
• Data platform architecture (Lakehouse, Mesh)
• Migration accelerators (Teradata, Oracle, Synapse to Snowflake)
• Data pipeline automation & DataOps
• Data quality & master data management
• Real-time streaming & CDC

AI & Machine Learning

From pilot to production

A pilot becomes a product when someone builds the path to production. We industrialize that path, from training to deployment, with the monitoring and governance you need to put a model in front of an auditor.

Capabilities

• AI strategy & use case qualification
• Generative AI & LLM integration
• ML engineering & MLOps
• Predictive analytics & forecasting
• NLP, computer vision & multimodal AI
• Responsible AI & governance

Cloud

Production-grade from day one

We architect and run cloud platforms on AWS, GCP and Azure. Our Terraform modules, security baselines and network blueprints replace the manual setup that usually eats the opening months of a program.

Capabilities

• Cloud architecture & migration
• Infrastructure as code (Terraform, CloudFormation)
• Kubernetes & container orchestration
• DevOps & CI/CD pipelines
• FinOps & cost optimization
• Security & compliance (SOC2, GDPR, ISO)

Training

So your team can run it without us

Every engagement ends with a handover, and a handover only works if your team can run what we built. The engineers who build the accelerators teach the courses, on your own infrastructure, along the official certification paths.

Capabilities

• Snowflake & cloud data platform training
• AWS / GCP cloud architecture bootcamps
• Data engineering & Python for analytics
• AI / ML fundamentals & advanced workshops
• DataOps & MLOps practices
• Custom enterprise training programs