We provide independent Google Cloud consulting on architecture and service selection, particularly for data-heavy and AI-driven workloads where GCP often excels.
Google Cloud has particular strengths in data analytics, BigQuery, and AI/ML tooling. Our consulting helps you determine whether and how to use GCP for your workload, with realistic cost and architecture guidance.
We combine deep technical expertise with a focus on performance, security, and long-term reliability.
Matching GCP services — Compute Engine, BigQuery, GKE — to your workload.
Particular expertise in BigQuery and data pipeline architecture on GCP.
Realistic cost projections before committing to an architecture.
Guidance on GCP IAM, VPC design, and compliance configuration.
Independent review of proposed or existing GCP architecture.
Honest recommendations, including when another provider fits better.
A comprehensive suite of capabilities packaged into every engagement.
Designing or reviewing GCP architecture for cost, security, and scale.
BigQuery and data pipeline architecture guidance for analytics workloads.
Evaluating your workloads for GCP migration suitability.
Retainer-based advisory support for recurring GCP decisions.
A proven, transparent process that keeps your project on time and on budget.
Understanding your existing infrastructure and data workloads.
Clarifying workload, budget, and analytics or AI requirements.
Delivering clear, prioritized architecture and cost recommendations.
Available to support your team as recommendations are implemented.
Get a free consultation with our experts and a tailored proposal within 48 hours.