Nidus provides an AI-driven platform that integrates robotics models, real-time sensor fusion, and predictive‑maintenance analytics into existing manufacturing lines. The system automates task scheduling, vision‑based quality inspection, and edge‑deployed control while exposing a unified API for MES/ERP integration, offered via software licensing and optional hardware‑as‑a‑service.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers in the industrial and defense supply chains experience frequent unplanned downtime, limited scalability of robotic workcells, and insufficient predictive insight into equipment health, leading to elevated operational costs and reduced production resilience.
Solution
Nidus delivers an AI‑driven manufacturing platform that embeds foundational robotics models directly into existing production lines. The system orchestrates autonomous task scheduling, real‑time sensor fusion, and closed‑loop control to keep equipment operating at optimal throughput. Integrated predictive‑maintenance analytics continuously assess component wear and forecast failures, enabling preemptive interventions before a breakdown occurs. Computer‑vision quality inspection modules automatically detect defects at line speed, reducing scrap rates and manual rework. All functionality is exposed through a unified API and a cloud‑edge hybrid architecture, allowing seamless integration with enterprise MES and ERP systems while keeping latency low for time‑critical control loops. The offering is packaged as software licensing combined with optional hardware‑as‑a‑service (HaaS) deployments, giving customers flexibility to upgrade hardware without large upfront capital expenditures.
Target Audience
Primary customers are large‑scale manufacturers and defense contractors that operate high‑volume assembly lines and require advanced automation, predictive maintenance, and quality assurance capabilities.
Features
- Foundational robotics model library (kinematics, dynamics, grasp planning) that can be instantiated on any compatible manipulator
- AI‑based production scheduling engine that dynamically reallocates tasks based on real‑time line performance metrics
- Edge‑deployed sensor fusion stack aggregating PLC, IoT, and vision data for sub‑second decision making
- Predictive‑maintenance module using time‑series anomaly detection and remaining‑useful‑life (RUL) estimation
- Vision‑guided quality inspection pipeline with defect classification via deep‑learning models, supporting 4K line‑rate imaging
- Modular HaaS hardware kits (smart end‑effectors, adaptive grippers, edge compute nodes) with remote diagnostics and OTA firmware updates
- Secure, role‑based API with OPC UA and MQTT adapters for MES/ERP integration, compliant with NIST 800‑53 standards
- Scalable multi‑tenant cloud analytics dashboard offering KPI visualizations, alerting, and audit trails