OptOps Archiver

Time-series data archiving designed for the age of AI

Data Archiving, Reimagined

Most data archiving systems for industrial facilities were designed decades ago, long before machine learning and AI became practical tools for operations. They work well enough for basic retrieval, but they weren't built for the way modern AI systems need to access and process data.

OptOps Archiver is different. We've designed it from the ground up with machine learning at its heart, making it faster and easier for both users and AI to query and use data for monitoring, analysis, and decision-making.

Key Features

Virtual Metrics

Define derived metrics that are evaluated on demand rather than stored. Calculate complex relationships between signals without consuming storage space or compute resources until the data is actually needed.

Guaranteed Accuracy

Temporary metrics can be generated and calculated on the fly, ensuring absolute accuracy in calculations. This eliminates the possibility of AI hallucination by grounding all derived values in real, verified data.

Optimised for AI Queries

Purpose-built query interfaces that make it easy for AI systems to retrieve exactly the data they need, in the format they need it, without complex preprocessing or transformation.

Built on TimescaleDB

Powered by TimescaleDB, a proven time-series database built on PostgreSQL. Get the reliability and ecosystem of PostgreSQL with the performance optimisations needed for high-volume time-series data.

EPICS Integration

Native integration with EPICS control systems via Kafka, enabling seamless data ingestion from your existing facility infrastructure without complex middleware or custom adapters.

Fully Modular

Use OptOps Archiver as a standalone solution or integrate it with the rest of the OptOps suite. It's designed to work independently or as part of a larger AI-enabled operations platform.

Why It Matters

Traditional archivers store data and retrieve it. That's it. But when you're trying to use AI for monitoring and analysis, you need more. You need an archiver that understands context, can compute derived values on the fly, and provides data in formats that AI systems can work with efficiently.

By building machine learning into the core of our archiver, we've created a system that doesn't just store your data, it makes your data useful. Virtual metrics mean you can define complex calculations once and have them available instantly, without pre-computing and storing every possible derived value.

And because all calculations are performed on real data at query time, you get guaranteed accuracy. There's no risk of stale derived values or AI systems making up numbers that look plausible but aren't grounded in reality.

Ready to Modernise Your Data Infrastructure?

Get in touch to learn how OptOps Archiver can transform your facility's data capabilities.