Private AI Systems
Private AI for Subsurface and Complex Energy Systems
Microflowtek builds local AI systems for documents, processes, and sensor data — without relying on external cloud services.
Your data stays within your organization. Always.
The Challenge
Industrial companies want to use AI, but sensitive data, technical know-how, and operational systems cannot simply be sent to external cloud platforms.
Sensitive documents must remain protected Sensor and measurement data is business-critical Cloud-based AI is often not acceptable Existing knowledge is fragmented across documents, systems, and experts
What We Build
Secure, local AI systems that integrate into existing technical environments.
Private Document AI
Structured search, Q&A, and summarization across manuals, SOPs, and reports with traceable references.
Sensor Data Intelligence
Operational signal analysis for anomaly detection, trend tracking, and maintenance-oriented insights.
Secure AI Infrastructure
Containerized runtime and internal API architecture designed for controlled private deployments.
Focus Areas
How It Works
Built for Secure Deployment
CloudFront and S3-ready frontend delivery model
Backend runtime deployable on EC2 with controlled network access
No external AI API dependency by default
Prepared for private VPC AI runtimes and internal data connectors
See how private AI can support technical teams without compromising data ownership.