Nexta provides an on‑premise AI automation platform that connects industrial control systems, enterprise applications, and IoT devices through open protocols, enabling AI agents to monitor, decide, and act across entire workflows. The solution delivers real‑time analytics, predictive maintenance, semantic search, and petabyte‑scale insights while keeping all data, models, and logs within the customer’s infrastructure, ensuring compliance and data ownership for large Saudi enterprises.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises across Saudi Arabia face fragmented, manual workflows that rely on disparate legacy systems, leading to high labor costs, slow decision cycles, and limited visibility into operations. Existing automation solutions often require cloud dependencies, vendor lock‑in, and do not meet regional regulatory or cultural requirements.
Solution
Nexta delivers an on‑premise AI automation platform that connects industrial control systems, enterprise applications, and IoT devices through open protocols (Modbus TCP, OPC‑UA, MQTT, REST). The platform deploys AI agents that can monitor, decide, and act across the entire workflow—from PLC‑level production monitoring to B2B sales, procurement, and dynamic pricing—while keeping all data, models, and logs within the customer’s own infrastructure. By automating repeatable, rule‑based processes and providing real‑time analytics, predictive maintenance, and AI‑driven decision support, Nexta reduces labor, eliminates human error, and generates measurable ROI within weeks. The solution is built for Saudi enterprises, complies with local regulations, and offers full data ownership and exportability without vendor lock‑in.
Target Audience
Primary customers are large Saudi enterprises in manufacturing, real estate, supply chain, healthcare, retail, finance, and insurance that require on‑premise AI automation, regulatory compliance, and integration with existing industrial and business systems.
Features
- End‑to‑end on‑premise AI stack that runs entirely within the customer’s environment, ensuring data never leaves the premises
- Open‑protocol connectivity (Modbus TCP, OPC‑UA, MQTT, REST) for seamless integration with PLCs, sensors, ERP, MES, CRM and legacy systems
- AI agents that automate complex business processes such as tender bidding, lead qualification, dynamic pricing, procurement, and demand forecasting with human checkpoints where needed
- Real‑time industrial intelligence including OEE monitoring, predictive maintenance, AI vision quality inspection, and mass‑balance waste tracking
- Semantic knowledge intelligence that provides enterprise‑wide semantic search across all data sources in real time
- Big‑data analytics and petabyte‑scale insight generation for KPI dashboards, anomaly detection, and executive reporting
- IoT intelligence layer that ingests data from connected devices and wearables for safety monitoring, energy management, and smart building control
- Fixed‑timeline delivery model with a four‑phase workflow (Discover, Design, Deploy, Scale) that produces live automation within weeks and measurable value at each stage