Sold by: Automat-it LTD
Get AI models to production in weeks, not months. Automat-it builds new AI/ML capabilities on AWS from scratch, covering Amazon Bedrock applications, SageMaker training and inference, MLOps pipelines, RAG systems, generative BI, computer vision, and AI-powered features. Backed by the AWS AI Competency and AWS Generative AI Competency, with 500+ AWS certifications and verified outcomes including 50% GPU cost reduction and 40-60% inference cost savings.
Overview
Startups and scaleups building AI-powered products need to move from idea to production quickly, but standing up the full AI/ML stack on AWS requires specialized knowledge across model selection, infrastructure, data pipelines, and operational tooling. Without it, teams spend months on infrastructure instead of building differentiated AI features.
Automat-it’s Generative AI & MLOps Production Accelerator offering delivers end-to-end AI/ML capabilities on AWS, from greenfield proof-of-concept through production-grade deployment.
The solution covers the full spectrum of AI workloads: Amazon Bedrock applications (chatbots, RAG pipelines, AI agents, document processing), Amazon SageMaker training and inference, MLOps pipeline automation (MLFlow, DAGster, Karpenter-based training clusters), generative BI and natural language analytics, computer vision (Amazon Rekognition and custom CV models), Amazon Bedrock AgentCore integrations, and AI-powered business features such as fraud detection, classification, and recommendation systems.
Every engagement includes LLM benchmarking against your production data to identify the optimal model or model combination for each use case, often reducing inference costs by 40-60% while maintaining response quality. The team also implements AI safety guardrails, bias detection, and model evaluation frameworks as standard practice.
The solution is built entirely on AWS-native services including Amazon Bedrock for generative AI workflows, Amazon SageMaker for model training and managed inference, Amazon OpenSearch for vector search, Amazon Rekognition for computer vision, and AWS Lambda, Amazon S3, and Amazon EKS for scalable ML pipeline infrastructure.
Automat-it holds both the AWS AI Competency and the AWS Generative AI Competency, is an AWS Premier Tier Partner with 150+ engineers and 500+ AWS certifications, and has a Strategic Collaboration Agreement with AWS focused on AI initiatives. Verified customer outcomes include 30% improvement in model inference performance (Umbrella/Anodot Bedrock migration), 50% GPU cost reduction (BetterPic), and production deployments completed in weeks instead of months.
Highlights
- Production-grade AI in weeks: Go from greenfield POC to production-ready Amazon Bedrock applications, SageMaker training pipelines, and MLOps automation without months of infrastructure work. Automat-it’s AI/ML engineers handle the full stack so your team stays focused on product differentiation.
- Cut AI costs by 40-60%: Every engagement includes LLM benchmarking against your real production data to identify the right model on Amazon Bedrock for each use case. Verified outcomes include 50% GPU cost reduction and 30% inference performance improvement across customer deployments.
- Full-spectrum AI/ML capabilities: Covers Amazon Bedrock (chatbots, RAG, agents, document processing), SageMaker, MLOps (MLFlow, DAGster, Karpenter), generative BI, computer vision (Rekognition, custom models), AgentCore, and AI-powered features like fraud detection and recommendation systems. Backed by AWS AI and Generative AI Competencies.
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