Edge & Perception
Perceives and computes at the source
InputRaw physical + digital signals
OutputStructured intelligence events
Vision AIcomponents
SVARA System Architecture
One stack. Every layer
of intelligence.
SVARA connects physical systems, edge intelligence, enterprise data, AI models, autonomous agents, simulations and business applications through one unified AI-native architecture.
SVARA ARCHITECTURE // OPERATIONAL
The full stack
From the physical worldto enterprise action.
SVARA is a layered intelligence architecture where every stage — from sensing and computation to reasoning and execution — can operate independently while remaining connected through one unified intelligence fabric.
- Sources01
- Edge02
- Data03
- Intelligence04
- Cognition05
- Orchestration06
- Applications07
- Action08
Cross-cutting
SVARA reference architecture
The completeintelligence stack.
Every layer, assembled into one blueprint — its role, what it takes in, what it gives back, and the products it powers.
SVARA reference architecture
The completeintelligence stack.
Every layer, assembled into one blueprint — its role, what it takes in, what it gives back, and the products it powers.
- Layer 01
Experience
Where people and systems use intelligence
- Input
- Orchestrated results
- Output
- Actions, insights, APIs
PowersOne AI OS · Business Cloud
- Layer 02
Orchestration
Coordinates models, agents, workflows and systems
- Input
- Requests + policy
- Output
- Routed, governed execution
PowersAI Agents · One AI OS
- Layer 03
Cognition
Interprets objectives and decides
- Input
- Context + objectives
- Output
- Plans and controlled actions
PowersAI Agents · Cognitive AI
- Layer 04
Intelligence
Runs specialized model inference
- Input
- Structured signal + context
- Output
- Detections, predictions, generation
PowersVision AI · Generative AI
- Layer 05
Simulation
Models and predicts outcomes
- Input
- Twin state + scenarios
- Output
- Forecasts + recommendations
PowersDigital Twin
- Layer 06
Data & Context
Unifies context across systems
- Input
- Streams + enterprise data
- Output
- Served, contextual intelligence
PowersBusiness Cloud
- Layer 07
Edge & Perception
Perceives and computes at the source
- Input
- Raw physical + digital signals
- Output
- Structured intelligence events
PowersVision AI · Drone AI · Edge AI
- Layer 08
Physical + Digital Sources
The connected physical and digital world
- Input
- The operating environment
- Output
- Signals into the stack
Real-time architecture
When something happens,intelligence moves.
An event-driven architecture means signals don't wait — a single detection propagates through the stack into a governed enterprise action.
- 01Camera detects anomaly
- 02Edge inference
- 03Event created
- 04Event bus
- 05Context enrichment
- 06AI reasoning
- 07Policy check
- 08Workflow triggered
- 09Enterprise action
- 10Result observed
Deployment flexibility
One architecture.Multiple environments.
SVARA's architecture is designed to support intelligence across distributed enterprise environments — from edge deployments to hybrid and multi-location estates.
svara · architecture
Pipeline
- 01Sources
- 02Edge
- 03Data
- 04Intelligence
- 05Cognition
- 06Orchestration
- 07Applications
- 08Action
Your architecture. Your ground.
One system,presented your way.
The same architecture, deployed on the ground you choose and presented in the language your teams already read.
Architected to scale
From one systemto an intelligence network.
Edge nodes, data systems, AI services, agents and applications scale horizontally — the same architecture expands from a single device to a distributed network.
- 01One Device
- 02One Site
- 03Multiple Sites
- 04Enterprise
- 05Distributed Network
Design for intelligence
Architect the nextintelligent system.
From edge environments and enterprise data to AI models, agents, simulations and applications, SVARA brings every layer together through one connected architecture.
