Physiko AI provides AI-driven infrastructure for processing and analyzing embodied data in industrial settings. Its platform integrates sensor streams and video feeds to deliver real-time insights that help manufacturers optimize operations and maintenance workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers often collect large volumes of sensor and video data from equipment and production lines, but lack a unified system to ingest, synchronize, and analyze this embodied data in real time, leading to delayed insights and inefficient maintenance decisions.
Solution
Physiko AI offers an AI-driven infrastructure that ingests heterogeneous sensor streams and video feeds, structures the data into a coherent format, and applies machine‑learning models to generate actionable insights instantly. The platform abstracts the complexity of data integration, providing a unified API that delivers processed information to existing industrial control systems and dashboards. By delivering real‑time analytics on equipment health, process performance, and safety conditions, Physiko AI enables manufacturers to optimize operations, predict failures, and streamline maintenance workflows without building custom data pipelines.
Target Audience
Primary customers are industrial manufacturers and plant operators seeking to modernize their production monitoring, as well as robotics and automation teams that require real‑time analysis of sensor and visual data.
Features
- Unified ingestion layer for diverse sensor types and high‑resolution video streams
- Automated data synchronization and spatial‑temporal alignment to create a coherent embodied dataset
- Scalable AI processing engine that runs edge‑optimized models for anomaly detection, predictive maintenance, and process optimization
- Real‑time insight delivery via APIs, webhooks, and integration adapters for SCADA, MES, and ERP systems
- Built‑in visualization tools for live monitoring of equipment status and performance metrics
- Secure, cloud‑native architecture with role‑based access control and data encryption