Adaptive Engine - Reinforcement fine-tune enterprise agents (FDEs)

Adaptive ML Professional Services help customers design, deploy, and operate enterprise-grade LLM and AI agent systems on AWS. Our forward-deployed ML engineers work directly within customer AWS environments to accelerate adoption and optimization of AWS-native machine learning and infrastructure services.

We support customers building and running AI workloads on AWS using services such as Amazon EC2, Amazon EKS, Amazon SageMaker, Amazon S3, AWS VPC, AWS IAM, and Amazon CloudWatch. Our team embeds alongside your organization to design model architectures, generate and curate training data, fine-tune and evaluate models, and manage secure, production-grade deployments within your AWS account.

Using a reinforcement learning–native approach, Adaptive ML helps customers optimize model performance, cost, and latency for workloads running on AWS, including containerized and GPU-backed deployments. We assist with deploying, monitoring, and operating AI agents and LLM systems integrated with AWS infrastructure and AWS Marketplace software, enabling reliable and scalable production use cases without requiring customers to become experts in model specialization or RL techniques.

Once deployed, we establish continuous improvement loops using real production feedback, system metrics, and business KPIs captured through AWS-native monitoring and logging services. Engagements can be delivered entirely within customer VPCs or in isolated, compliance-focused AWS environments, ensuring data sovereignty, security, and operational control while helping customers achieve measurable outcomes from their AWS-based AI initiatives.