Overview
Tethys is a scalable, cloud-native data management platform designed to deploy, orchestrate, and monitor AI-enabled data processing pipelines across the full mission lifecycle. Built with a Kubernetes-based architecture, Tethys enables real-time data ingestion, federation, routing, and AI model integration - all within a secure, modular environment. It supports a wide range of data types, from FMV to SIGINT and OSINT, ensuring that actionable insights are always within reach, whether operating at the tactical edge or in the enterprise.
Real-World Use Case
Organizations are increasingly overwhelmed by massive volumes of ISR and sensor data that require fast processing, real-time fusion, and AI-enabled interpretation. With Tethys, users can ingest structured and unstructured data from multiple sources, apply AI models for object detection or pattern recognition, and seamlessly route results to analysts and systems at speed. This reduces time-to-decision, automates complex workflows, and increases overall mission agility.
Key Features & Benefits
- AI/ML Model Management - Integrates and orchestrates model performance, GPU usage, and inference results.
- Scalable & Resilient Architecture - Kubernetes-based with self-healing, containerized services.
- Open Integration - Language-agnostic and API-ready for rapid tech insertion.
- Federated Data Flow - Supports real-time ingestion and dissemination across multiple domains.
- Observability & Debugging Tools - Intuitive UI for monitoring, auditing, and refining pipeline performance.
- Cloud, Edge, or Hybrid Deployment - Operates seamlessly in any topology.
