From request to result in seconds
nara's AI agents understand what you need, find the best solution, and execute tasks automatically across all your systems.
The Process
How nara transforms requests into results
Our platform combines AI agents, nara Memory, and the Edge Connector to turn a simple request into a completed task within seconds.
01
Request arrives
A user submits a request via chat, email, ticket, or API.
nara instantly captures context, intent, and priority to begin processing.
02
Agents understand and plan
Specialized agents interpret the request, access nara Memory to retrieve relevant knowledge, and collaborate to create an action plan.
03
Cross-system execution
Agents execute actions across your connected systems via the Edge Connector.
They update tickets, trigger workflows, and control devices securely.
04
Result delivered
The task is completed, the user is notified, and every action is logged for full auditability.
nara Memory learns from the outcome.
Multi-Agent Intelligence
Agents that think together
nara agents are not simple chatbots. Each agent has a specific purpose, set of tools, and permissions. When a request arrives, agents collaborate in real time to understand context, plan actions, and execute tasks across systems. They handle exceptions, resolve edge cases, and adapt to new situations without manual reconfiguration.
Specialized roles
IT support, HR onboarding, finance automation. Each agent is purpose-built.
Adaptive planning
Agents plan and adapt based on context, not rigid predefined flows.
Real-time coordination
Agents share context and communicate to reach outcomes efficiently.
Knowledge Layer
Memory that learns and grows
nara Memory connects structured and unstructured data into one evolving knowledge graph. Agents use this shared context to make consistent, informed decisions. Every resolved task enriches the graph with new connections and insights, keeping knowledge accurate and up to date without manual maintenance.
Graph-based reasoning
Precise information retrieval through connected knowledge objects.
Continuous learning
The system becomes smarter with every interaction.
Unified context
All agents access the same live knowledge for consistent outputs.
Secure Execution
Bridge to the real world
The Edge Connector links AI agents with enterprise systems and physical devices. From cloud APIs to on-premise servers and IoT sensors, agents can execute actions securely and in real time. Every operation is verified, logged, and compliant with your security policies.
Universal connectivity
Cloud, on-premise, APIs, databases, and IoT in one fabric.
Device control
Restart computers, update hardware, trigger robotic systems.
Enterprise-defined logic
You define the rules. Your infrastructure, your control.
The Difference
Traditional automation
- Linear, rule-based flows
- Hard-coded dependencies
- Manual exception handling
- Static automation graphs
nara's approach
- Adaptive, context-driven reasoning
- Self-organizing collaboration
- Dynamic, autonomous planning
- Emergent intelligence that evolves
Governance
Human oversight at every step
Every agent action is tracked in real time. Administrators can review logs, track agent behavior, and enforce security or compliance policies. For critical operations, nara requires explicit approval from authorized personnel before execution, blending AI speed with human judgment.
Full audit trails
Every action is logged, encrypted, and traceable.
Approval workflows
Sensitive actions require human sign-off before execution.
GDPR & EU AI Act compliant
Built on certified governance aligned with European law.
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