R&D & Innovation

Peer-reviewed research behind our enterprise software.

Every platform at Zynaptrix is grounded in academic rigor. We design, evaluate, publish, and peer-review our core algorithms before deploying them to production.

Publications

Peer-reviewed work.

IEEE IRAI 2026Accepted · to appear in IEEE Xplore

An Agentic Generative AI Framework for Industrial Predictive Maintenance: Physics-Aware Anomaly Detection with Multimodal Retrieval-Augmented Generation

R. W. V. Imansha Dilshan, A. L. Supun Tharaka, P. D. D. Ransika, W. G. N. Dananjaya, M. B. Abeywardena, Dr. Akila Wijethunge

3-5 September 2026 Melbourne, Australia

R&D Pillars

Where we're innovating.

Our core research themes drive every software platform and enterprise solution we build.

Agentic AI systems

Multi-agent LLM pipelines with explicit roles, shared auditable state and safety-critical validation.

Physics-aware ML

Anomaly detection grounded in physical constraints and domain limits, not reconstruction error alone.

Multimodal retrieval

Retrieval over engineering schematics, tables and prose, with figures decomposed into retrievable parts.

Content provenance

Robust invisible watermarking, blind decoding and layered provenance (C2PA, IPTC) for creators.

Responsible AI

Human-in-the-loop learning, fail-safe defaults and honest reporting of limitations.

Institutional memory

Systems that turn frontline expertise into persistent, queryable knowledge without retraining.

Collaborate on R&D & Innovation

We partner with enterprise R&D units, academic institutes, and industrial leaders to co-author and benchmark frontier software.

Start a conversation zynaptrix.team@gmail.com