Research • Analytics • Decision Support

Research & analytics,from theory to production.

Orionics delivers research-grade modelling and practical analytics systems—built to reduce risk, improve performance, and make complex environments measurable.

Machine learning & AI research
We develop modern ML & AI systems with a focus on robustness, deployment constraints, and verifiability, including confidential execution.
Consensus-based algorithms have been a key focus of our work. We developed a minimal SDK template that uses OpenRouter to run multiple LLMs and iteratively refine a final answer via consensus and self-critique.
We contributed to the Flare AI Kit, an open-source SDK for building verifiable AI agents using trusted execution environments.
Our earlier templates such as flare-ai-rag (a RAG knowledge template for vector databases), are now implemented within the Flare AI Kit.
Screenshot of paper: "Consensus learning: A novel decentralised ensemble learning paradigm"
Performance optimization & analytics
We design analytics pipelines end-to-end—from raw ingestion to decision-ready outputs—then use those insights to drive targeted optimizations.
Typical engagements involve building reliable data foundations, defining KPIs and alerting, and iterating on system changes with clear measurement.
Examples include network performance analytics, general investigations, and protocol optimisation work—always with clear metrics, baselines, and before/after measurement.
Time Series Analysis
Interested in research-grade analytics with production delivery?