Smarter Decisions.Where it matters.
Saiviq brings real-time AI to the edge so critical operations keep running — even without connectivity. Convert sensor and field data into compact, structured decisions that move teams and machines faster.
No Cloud Needed
Run AI On-Device
Any Location
Disconnected Environments
Action in Seconds
Instant Response
Pump #24
Operating normally
Vibration
2.4 mm/s
Temp
68°C
Pump #17
Likely to Fail
Confidence
92%
Action
Inspect within 24h
Product
Observe locally. Decide instantly. Communicate minimally.
Saiviq transforms on-device observations into a compact structured decision with severity, confidence, explanation, and recommended action—then sends only the event that matters.
Capture
Collect an image, sensor reading, audio sample, or field observation.
Analyze
Run vision, language, or sensor models locally on the device.
Decide
Turn the observation into a structured decision with severity, confidence, explanation, and action.
Transmit
Send only the compact decision over the best available network.
Problem
The cloud was not built for the field.
Remote infrastructure operates where coverage is intermittent, expensive, or absent. Most AI assumes images, video, and telemetry can be uploaded before a decision is made.
That model fails in rural utilities, telecom towers, agriculture, energy sites, disaster zones, mines, rail, and field operations.
Problem
Cloud dependency
Most AI stops working when the network disappears.
Problem
Too much data
Images and high-frequency telemetry are expensive or impractical to send over constrained networks.
Problem
Too many dashboards
Field teams receive raw alerts but still depend on people to interpret what happened and decide what to do next.
Demo
From field observation to action.
A field photo becomes a compact alert without cloud upload. Saiviq keeps the decision local and the operations flow aligned.
Step 1
A worker photographs a damaged rural water pump.
Step 2
Saiviq analyzes the image entirely on-device.
Step 3
The system identifies a likely seal leak and assigns severity.
Step 4
A compact alert is sent through satellite connectivity.
Vision and sensor models run on-device so decisions remain available even when coverage drops.
The result arrives as a compact structured event, letting teams act without transmitting bulky data.
Technology
A runtime for decision-critical edge AI.
On-device inference
Run models locally on edge devices with optimized runtimes, compact vision pipelines, and efficient decision modules.
Structured decisions
Convert raw field observations into predictable decision schemas, with severity, confidence, and next-action guidance.
Constrained transport
Compress, queue, retry, and transmit compact events across satellite, cellular, Wi-Fi, and private networks.
Workflow integration
Deliver structured events into ServiceNow, SAP, IBM Maximo, email, SMS, webhooks, or custom APIs.
Use Cases
Built for operations beyond reliable connectivity.
Telecom infrastructure
Battery corrosion detected. Replace within 72 hours.
Rural utilities
Possible pump seal leak. Inspect within 24 hours.
Agriculture
Irrigation pressure anomaly detected in North Field.
Energy
Oil leakage visible near transformer seal.
Emergency response
Possible wildfire detected. GPS coordinates attached.
Mining and remote industry
Hydraulic hose damage detected. Do not operate.
Why Saiviq
Send decisions, not data.
Platform
Start with inspection. Expand into physical intelligence.
Saiviq begins with mobile field inspection and is built to power decision-making across phones, gateways, drones, robots, vehicles, and remote infrastructure.
Smartphones
Field inspection apps collecting camera, sensor, and observation data.
Industrial gateways
Edge devices connecting legacy sensors, cameras, and instruments to the runtime.
Drones
Remote aerial inspection when access is limited.
Sensors
Continuous monitoring from cameras, vibration sensors, and environmental probes.
Remote equipment
The runtime also supports machines, vehicles, and distributed infrastructure making local decisions.
Pilot
Looking for pilot partners.
We are working with organizations that operate equipment or field teams in rural, remote, or low-connectivity environments. Ideal partners include telecom tower operators, rural utilities, energy providers, agricultural operators, emergency response teams, and industrial inspection providers.
Company
Building intelligence beyond connectivity.
The next generation of AI will not live only in data centers. It will operate on phones, machines, sensors, drones, and remote infrastructure, making decisions locally and communicating only what matters.
Saiviq is building the runtime for that future.
Next step
Bring intelligence to the edge of the network.
Deploy on-device AI for field operations where cloud connectivity is not guaranteed.