Overview
MachineMetrics leverages artificial intelligence to power intelligent automation, contextual insights, and real-time decision-making across manufacturing environments. Our AI system is designed with privacy, scalability, and security at the forefront, operating entirely within our private AWS infrastructure using a robust agentic architecture and leading-edge models.
Cloud-Native AI Foundation via AWS Bedrock
All AI capabilities at MachineMetrics are built on AWS Bedrock, which provides seamless access to foundation models from various providers while maintaining enterprise-grade controls. We exclusively use models via AWS Bedrock, ensuring that:
- Customer data never leaves our private AWS tenant.
- No third-party service or external LLM provider has access to user inputs or model responses.
This approach allows MachineMetrics to confidently integrate AI across critical industrial workflows without compromising on data sovereignty or security.
Agentic Architecture Within a Virtual Private Cloud
MachineMetrics employs an agentic architecture hosted inside the same Virtual Private Cloud (VPC) that houses our core application infrastructure. This architecture orchestrates:
- Multi-step reasoning workflows
- Intelligent task decomposition
- Dynamic model selection and routing
These agents are containerized, stateless, and operate in an isolated manner, ensuring secure and auditable interactions with customer data.
Models in Use
To power various features of our platform, the AI system invokes foundation models made available through AWS Bedrock.
Model selection is dynamically managed by our agentic architecture, ensuring that all inference is performed securely within our private cloud. This strategy maintains our strict commitment to data privacy, compliance, and performance.
Inference Security and Privacy
All inference happens within our private AWS tenant, ensuring that:
- Customer prompts, telemetry, and any derived artifacts remain isolated
- Inference logs are stored in compliance with our internal security policies
- No customer data is used to train or fine-tune models
This strict control mechanism meets the security expectations of our enterprise manufacturing customers and aligns with compliance frameworks such as GDPR and CMMC.
Summary
MachineMetrics delivers AI capabilities by combining a secure, cloud-native infrastructure with powerful models and intelligent agents. Through exclusive use of AWS Bedrock and full isolation within our VPC, we guarantee the privacy, security, and performance required to bring meaningful, real-time AI to the factory floor.
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