Litmus builds data infrastructure for manufacturing plants and industrial facilities, connecting PLCs, SCADA, and sensor networks to cloud and analytics systems. The stack reveals a dual-layer architecture: OT-side protocols (OPC UA, Modbus, EtherNet/IP, DNP3, MQTT, CoAP) paired with cloud connectors (AWS, GCP, Azure, Snowflake) and container orchestration (Kubernetes, Docker). Recent hiring is engineering-heavy (10 of 23 roles) with a seniority mix skewed toward mid and senior levels, aligned with active work on AI features, edge connectors, and production hardening—signaling a shift from proof-of-concept toward scaled deployment.
Litmus provides an edge data platform that ingests, normalizes, and contextualizes machine data from industrial devices in real time. The product targets manufacturers across automotive, food and beverage, energy, and advanced manufacturing who need to feed OT data into predictive maintenance, asset monitoring, and AI workflows while meeting enterprise security and governance standards. The platform handles edge-side analytics and model hosting, secure cloud integrations, and multi-site management. Litmus is headquartered in Santa Clara with teams across North America, Europe, and APAC.
React frontend; Azure AD and Intune for identity; AWS, GCP, and Azure for cloud; Snowflake for data warehouse; Go and C++ for backend services; Kubernetes and Docker for container orchestration; OPC UA, Modbus, EtherNet/IP, DNP3, MQTT, and CoAP for OT protocol support.
Yes. 10 of 23 active roles are engineering positions (mid, senior, and lead levels). Hiring is accelerating across United States, Canada, and Germany.
AI-enabled platform features; southbound connectors for PLCs and IIoT protocols; production rollout of Litmus Edge Manager; SDK development; asset search; edge data processing and real-time ingestion from devices at scale.
Litmus's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.