Reference architectures and consultative workshops to right-size before procurement. Edge-to-cloud connectivity across MQTT, OPC UA, Modbus, BACnet, LoRaWAN, and cellular — with brownfield gateways, secure provisioning at scale, and protocol translation so legacy lines and new assets sit on one fabric
Operational data moves fluently into the data estate the customer already runs — lakehouses, warehouses, historians, ERP, and CRM — and joins the systems that drive the business. The unified data layer is what makes downstream AI possible. We meet the data where it lives, no rip-and-replace
The full AI spectrum — generative, deep learning, classical ML — across connected factories, disconnected field assets, low-power sensor networks, regulated on-prem environments, and hybrid estates. Autonomous agents monitor live streams, flag anomalies, and trigger workflows, with consequential actions gated through authenticated human approval
All three layers run on the CogitX Platform — one common foundation for adaptive compute, unified data, device twins, operational tools, and closed-loop agents, deployable in the cloud or at the edge.
Sensors, PLCs, robotics, smart meters, vision systems, bespoke OEM hardware — no fleet standardization required to start
Right boundary per workload. Inference at the edge for latency-bound decisions, heavy analytics in the cloud — designed for plants where connectivity is uneven
We work across the data and analytics stack the customer already runs. We meet the data where it lives, on the platforms you've already chosen
Autonomous agents watch telemetry and act, but consequential actions are gated through authenticated human approval. Velocity with retained control
Productized accelerators and FDE-led delivery put working AI in production fast. Built to move at the pace operations need
Generative for natural-language operator interfaces and synthetic data. Deep learning for vision, time-series, and acoustics. Classical ML for forecasting, anomaly detection, and optimization — the right technique for each workload, in one platform
