AI-ready data strategy, vector database setup, cloud infrastructure, and private secure AI deployment — across AWS, GCP, and Azure.
AI Data & Infrastructure covers the data strategy, vector databases, cloud architecture, and secure deployment patterns you need to run AI workloads reliably in production. It includes meeting GDPR, HIPAA, and SOC 2 requirements.
Norvik builds the foundation that makes AI work in production. Without AI-ready data, even the best models fail. Without proper infrastructure, production AI is unreliable and expensive. We design and build data pipelines, vector database architectures, cloud infrastructure, and private deployment patterns — the engineering layer between your raw data and your AI applications.
A proven four-phase methodology that takes you from first conversation to production AI — with full accountability at every step.
We catalog your data assets, assess quality and lineage, and evaluate your current infrastructure against AI workload requirements.
We design the data architecture, select the vector database, specify cloud infrastructure, and plan security: network topology, access controls, and encryption at rest and in transit.
We build the pipelines, deploy the vector database, provision infrastructure with Terraform, and run data quality tests. All infrastructure is defined as code and version-controlled.
We conduct a security review, produce compliance documentation (GDPR, HIPAA, SOC 2 as applicable), pen-test the AI endpoints, and hand over operational runbooks and monitoring dashboards.
We catalog your data assets, assess quality and lineage, and evaluate your current infrastructure against AI workload requirements.
We design the data architecture, select the vector database, specify cloud infrastructure, and plan security: network topology, access controls, and encryption at rest and in transit.
We build the pipelines, deploy the vector database, provision infrastructure with Terraform, and run data quality tests. All infrastructure is defined as code and version-controlled.
We conduct a security review, produce compliance documentation (GDPR, HIPAA, SOC 2 as applicable), pen-test the AI endpoints, and hand over operational runbooks and monitoring dashboards.
We catalog your data assets, assess quality and lineage, and evaluate your current infrastructure against AI workload requirements.
We design the data architecture, select the vector database, specify cloud infrastructure, and plan security: network topology, access controls, and encryption at rest and in transit.
We build the pipelines, deploy the vector database, provision infrastructure with Terraform, and run data quality tests. All infrastructure is defined as code and version-controlled.
We conduct a security review, produce compliance documentation (GDPR, HIPAA, SOC 2 as applicable), pen-test the AI endpoints, and hand over operational runbooks and monitoring dashboards.
We select tools based on your requirements, not vendor relationships.
“Predicting demand before it happens — so shelves are never empty.”
Read the full story“From 3-week backlogs to same-day review — at a fraction of the cost.”
Read the full story“Intelligent intake that routes patients faster — and frees clinicians to care.”
Read the full storyStraight answers to the questions we hear most often.
Still have questions? Talk to our team
Book a 30-minute call with our AI experts. No sales pitch — just honest, practical insights about what AI can do for you.
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