Aeologic Technologies

Aeologic is an information technology consulting and services company headquartered in India. The organisation operates internationally with offices or sales addresses listed for the United States, the United Kingdom, and South Africa, and references projects and clients across multiple regions.

Services and capabilities

• RFID, AIDC and IoT system design and deployment — delivery of hardware (tags, readers, sensors, gateways), integration with control panels and real-time tracking systems.
• Cloud, API and systems integration — migration and integration of legacy systems, ERP and third‑party platforms, and development of middleware and APIs for data flow.
• AI and analytics solutions — development and deployment of AI/ML models, generative AI applications (chatbots, NLP), predictive analytics for maintenance and demand forecasting, and vector database/RAG integrations.
• Edge and embedded computing — edge gateways, local ML inference, and vehicle‑level/field processing to reduce latency.
• Software engineering and staff augmentation — provision of development teams, QA/testing, mobile and web application development, and technical support across tiers.
• Automation and industrial control — integration of sensors with actuators, conveyors, PLCs, and robotics for process automation and cold chain/industrial control systems.
• Security and compliance services — implementation of controls aligned with SOC 2, ISO 27001, GDPR and HIPAA requirements.

Industry focus

• Manufacturing — production line automation, predictive maintenance and digital twins for visibility and control.
• Logistics and distribution — real‑time asset and package tracking, warehouse automation and inventory visibility using RFID/IoT.
• Retail — e‑commerce and in‑store systems, personalization engines and point‑of‑sale analytics.
• Healthcare and pharmaceuticals — system integration across hospital systems, cold chain monitoring and compliance tracking.
• Government, smart cities and utilities — digital transformation programs, sensor networks and city‑scale IoT deployments.

Technology and delivery approach

• Work is structured around a modular eight‑layer automation framework covering sensing (RFID, sensors, vision), actuation (conveyors, robotic arms, PLCs), edge processing, connectivity (5G/LoRaWAN/OPC UA), middleware/orchestration, AI, dashboards/digital twins and agentic AI components.
• Technical themes include integration of physical devices with cloud platforms, real‑time data streams, edge inference to reduce latency, and middleware for workflow orchestration.
• Delivery methods include fixed‑price projects, time & material engagements and dedicated team models; staffing options cover remote and onsite augmentation, R&D/prototyping, and post‑deployment support.
• Security and compliance practices referenced include encryption, audit logging, zero‑trust architecture and role‑based access controls aligned with industry standards.