Kill the API Tax. Run AI on Your Own Infrastructure.
Deploy private Edge AI systems with intelligent local execution and cloud fallback powered by NemoClaw orchestration.
The Hidden Cost of AI: Token Tax
Select Your AI Infrastructure Mode
Sovereign AI Orchestration Powered by NemoClaw
1. Sovereign Pathfinding
Keep your source of truth fully on-device. Privacy Router ensures sensitive classification and extraction tasks remain on your Jetson/Orin node—reducing latency and eliminating unnecessary cloud exposure.
{
"routing": "edge-first",
"local_exe": 0.80,
"cost_delta": -0.42,
"lat_ms": -65,
"status": "active"
}
2. Zero-Leak Telemetry
Secure reasoning without exposing raw data. NeMoClaw acts as a digital airlock—scrubbing identities, secrets, and sensitive fields before any cloud interaction.
{
"mode": "airlock",
"redaction": "real-time",
"raw_exposure": 0,
"pii": "stripped",
"status": "secure"
}
3. OpenShell Hardening
Zero-trust execution enforced at the hardware level. Every agent action is verified against policy constraints—ensuring controlled, ethical, and secure orchestration.
{
"exec_mode": "secure",
"zero_trust": "verified",
"hardware": "enforced",
"tops": "dynamic",
"status": "locked"
}
Hybrid AI ROI Calculator
Estimate total spend for cloud-only vs local-first hybrid AI execution.
Inputs
85% local / 15% cloud
Cloud Cost
$0
for 12 monthsHybrid Cost
$0
fallback + infrastructureSavings
$0
versus cloud-onlySavings %
0%
efficiency gainHow It Works
1. Local Execution
Ingests and processes high-bandwidth streams locally.
2. Agent Control
Edge agent evaluates confidence variables.
3. Cloud Fallback
Fires API calls only if uncertainty thresholds pass.
4. Return Execution
System executes final operational loop without failure.
Common questions about Edge AI
Edge AI processes data directly on local devices instead of relying entirely on cloud servers, enabling real-time, low-latency, and offline-capable intelligence.
Yes. Our solutions are designed to scale from early-stage prototypes to full production deployments. We support both subscription-based models and direct hardware/software sales, allowing businesses to choose flexible deployment and scaling options based on operational needs.
We work with high-performance edge computing platforms including NVIDIA Jetson, AMD Embedded Solutions, ZOTAC Embedded Systems, and selected OEM-based industrial hardware depending on deployment requirements, performance targets, and scalability needs.
We primarily focus on integrating embedded AI nodes with existing platforms and infrastructure. Our solutions are designed to work seamlessly with already deployed systems, enabling efficient hardware-software integration without requiring complete ecosystem replacement.
We support industries including smart agriculture, industrial automation, logistics, robotics, surveillance, and AIoT ecosystems through scalable Edge AI and agentic intelligence solutions. Our integrations enable real-time automation, autonomous decision workflows, vision analytics, and intelligent edge operations across embedded and industrial environments.
Edge AI reduces operational costs by processing data directly on local devices, minimizing cloud dependency, bandwidth usage, and latency. This enables faster decision-making, reduced downtime, and more efficient real-time automation across industrial and AIoT environments.
For cloud-connected workflows, external API usage can be selectively integrated only when required, helping optimize infrastructure and compute expenses. Sensitive operational data can also remain locally processed on edge devices, improving privacy, reducing unnecessary data transmission, and supporting more secure deployment architectures.
Yes, remote onboarding and technical guidance are available to help clients complete setup and integration.