Rayven - 2026 Pricing, Features, Reviews & Alternatives

Rayven is a five-layer operational software platform that connects IT, OT, IoT, SaaS, APIs, and file sources into a unified real-time data pipeline, then enables teams to build automation, AI, and custom applications on top of existing systems without replacing them. With 1,228+ connectors, structured SQL and time-series storage, machine learning, generative AI, AI agents, workflow automation, and a full presentation layer, the platform consolidates capabilities that would otherwise require multiple separate tools. Deployment options span managed SaaS, private cloud, on-premise, and edge, with configurable data residency and customer-managed encryption keys across all hosting models. First working applications are typically delivered in 2 to 12 weeks. Three delivery models are available: DIY, done-for-you, and hybrid, matching teams by capability and budget.

Rayven serves a broad range of industries including manufacturing, mining and resources, utilities, energy and renewables, transport and logistics, infrastructure and construction, agriculture, food and beverage, government, healthcare, and professional services. Target users span C-suite, operational technology, IT, digital transformation, and engineering teams, scaling from SME to enterprise. Technology partners including hardware manufacturers, IoT device vendors, and managed service providers can white-label the platform to deliver solutions under their own brand.

Generative AI is integrated natively across all five platform layers rather than added as a separate module. External LLMs including Claude, ChatGPT, and Gemini connect to live operational data via native connectors and the Model Context Protocol (MCP). Machine learning capabilities support creation, training, testing, and deployment of Python-based algorithms through a drag-and-drop interface, covering predictive analytics, anomaly detection, and failure forecasting. AI agents monitor conditions, make decisions, and execute actions across systems without manual intervention. Conversational analytics allow non-technical staff to query operational data in plain language and receive real-time, source-traceable answers. Security is enforced through role-based access control with row- and field-level permissions, TLS 1.3 encryption in transit, AES-256 encryption at rest, and full audit trails.