Data Platform Modernization

AI Readiness

Most AI projects fail at the data layer. Models are only as good as the pipelines feeding them. We assess and rebuild your data foundations so Gen AI workloads on GCP have clean, governed, reliable data to work with.

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What we deliver

The data layer your AI actually needs

AI Readiness Assessment We audit your current platform against Gen AI workload requirements: data quality, freshness, access patterns, and governance gaps. You get a concrete readiness score and a remediation plan.
Data Quality Foundations Automated data quality checks, anomaly detection, and lineage tracking so your models train and serve on data you can defend. Quality at the pipeline level, not the dashboard level.
Feature Store Design Governed feature pipelines on Vertex AI Feature Store or BigQuery — so features are computed once, versioned, and reused across models. No more ad-hoc feature engineering per project.
BigQuery ML Integration Bring ML inference into your existing BigQuery workflows. Batch predictions, real-time scoring, and model monitoring — without a separate ML infrastructure team.
Agentic Workflow Infrastructure Data pipelines and orchestration layers built to support agentic AI systems on GCP: structured outputs, retrieval pipelines, and event-driven triggers your agents can rely on.
Governance for AI Data lineage, access controls, and audit trails for AI training data. Compliance-ready from day one — GDPR, NIS2, and internal policy — before regulators ask.
Who this is for

You might need this if…

AI projects stall at the data layer

Your ML team keeps finding data quality issues after training starts. The model works in the notebook but breaks in production. The problem is upstream of the model.

You're building on Vertex AI or BigQuery ML

You've chosen the GCP AI stack but the data infrastructure wasn't built with it in mind. We close the gap between your warehouse and your models.

Leadership is pushing AI adoption

There's pressure to ship AI features fast. Before you build on top of a shaky foundation, you need a senior engineer to tell you what's actually ready and what will bite you.

Technologies
BigQuery ML
Vertex AI
Vertex AI Feature Store
BigQuery
Dataform
Cloud Composer
Dataplex
Pub/Sub
Terraform

Ready to start?

Let's check if your platform is AI-ready

Send us your current data architecture. A senior engineer will come back with an honest readiness assessment — what's solid, what needs work, and what to fix first.

Book a free Platform Health Check →