Infrastructure Operations

AWS Cloud Deployment

Deploy secure, high-performance AI infrastructure on Amazon Web Services. Private VPC hosting, end-to-end encryption, and serverless auto-scaling.

Native AWS Services We Leverage

Utilizing Amazon Web Services industry standard backends for scalable architectures.

Our modular middleware runs inside isolated Docker containers managed by Amazon Elastic Container Service (ECS), avoiding VM overhead.

Optimizes model fine-tuning and hosting pipelines on secure Amazon SageMaker endpoints, minimizing inference costs.

Utilizes Amazon S3 with client-managed KMS keys to encrypt raw files, corporate documents, and training checkpoints at rest.

Redundancy, latency mitigation, and data sovereignty built-in.

Leverages serverless container scaling to dynamically accommodate pilot workloads up to tens of thousands of concurrent enterprise API calls.

Deploys directly into your company's Virtual Private Cloud (VPC), establishing private subnet endpoints so data never leaves your networks.

Deploy instances in local geographical AWS regions (US East, EU Central, etc.) to minimize network hops and conform to data residency compliance.

Flexible models designed to satisfy security audits and internal infrastructure policies.

Fully Managed Krivex SaaS (hosted on secure dedicated AWS endpoints)

Client-Managed Private VPC (deployed via secure Terraform and CloudFormation templates)

Hybrid Cloud Architecture (on-prem databases connected to AWS inference clusters via VPN)

Schedule a consultation with our Chief AI Architect to coordinate private VPC deployments and obtain capability decks.