NineTwoThree builds custom AI on your AWS infrastructure as a registered AWS Partner, deploying production workloads inside your own account so you retain full ownership of data, models, and root credentials.
Production infrastructure is always set up in the client's name: you own the AWS account, the data, and the root keys. NineTwoThree configures the environment, deploys the models, and hands over full control, part of our broader AI expertise.
NineTwoThree is a registered AWS Partner listed in the AWS Partner Solutions Finder. The partnership provides direct access to AWS technical resources, co-sell support, and early visibility into new AWS generative AI services as they ship.
NineTwoThree handles AWS infrastructure intervention, instance recovery, and troubleshooting inside the client's environment. If an EC2 instance fails or a SageMaker endpoint drops, the team diagnoses and resolves it while clients retain root access.
Every deployment follows the AWS Shared Responsibility Model: AWS secures the cloud, the client owns the data, and NineTwoThree builds within existing IAM roles, KMS keys, and VPC boundaries. No data leaves your AWS account.
NineTwoThree has delivered more than 150 AI projects.
Reported success rate across NineTwoThree's AI project portfolio.
Measured projects that returned positive ROI.
Deploy AWS generative AI services like Amazon Bedrock and Amazon Q inside your existing environment. NineTwoThree builds RAG pipelines, fine-tuning workflows, and conversational AI systems that use your enterprise data without exposing it to external vendors.
Set up AWS machine learning services for training and inference with SageMaker pipelines and EC2 GPU clusters on infrastructure you control. NineTwoThree also handles monitoring, autoscaling, and disaster recovery in your AWS account using your IAM roles.
Connect AI models to your existing AWS data sources: S3 data lakes, RDS databases, and Redshift warehouses. NineTwoThree builds the ETL pipelines and feature stores that make enterprise data usable for AI without moving it outside your AWS perimeter.
Build a new platform or add AI to existing AWS workloads, all running in your own account on your own data with your own keys.
Meet with founders Andrew Amann & Pavel Kirillov
Custom AI implementation roadmap
No sales pressure
