One intelligence layer for every workflow.
SKYRU AI is RUR1's core platform for building knowledge systems, intelligent agents, and model-powered workflows — connecting AI models with enterprise documents, databases, tools and operational processes.
Models change. Workflows should stay.
Connecting a large language model is not the same as owning a working AI system. Enterprise knowledge is scattered across documents, databases, internal software and employee experience — and different models carry different speed, cost, reasoning and privacy profiles.
When business processes are bound to a single model or provider, every upgrade, price change or deployment requirement can force a rebuild. SKYRU AI places a unified intelligence layer between models and real workflows.
The platform connects cloud, local and specialized models, and routes tasks based on difficulty, data sensitivity, response speed and cost. Models can be replaced, upgraded or reconfigured without rebuilding the workflows above them.
Platform architecture
Platform capabilities
- Multi-model management
- Cloud, local and specialized models behind one interface with configurable policies.
- Intelligent model routing
- Tasks are assigned by difficulty, data sensitivity, speed and cost.
- Enterprise knowledge engine
- Processes documents, policies, project files and records so AI answers from internal knowledge.
- Agent workflows
- Complex tasks split into controlled steps: read, call tools, analyze, submit for review.
- Tool calling
- Connects file systems, databases, internal APIs and enterprise software — AI acts, not just writes.
- Text-to-SQL
- Natural-language questions become permission-scoped database queries and analysis.
- Document processing
- Recognizes, analyzes and organizes PDF, Word, Excel and other enterprise files.
- Local & hybrid deployment
- Sensitive and high-frequency tasks run locally; complex reasoning can use cloud models.
- Permission control
- Access scoped by user, department, project and data level.
- Run auditing
- Records model calls, knowledge sources, tool execution and workflow state.