Deploy Small Language Models on-premise, at the edge, or in air-gapped environments. Zero data egress. Sub-millisecond latency. Complete data sovereignty.
Your most sensitive data can't leave your network. Regulatory requirements demand data sovereignty. Latency from cloud round-trips kills real-time applications.
Traditional cloud LLMs require sending data externally, creating compliance risks and performance bottlenecks. For many organizations, this is simply not an option.
Deploy Small Language Models that run entirely within your infrastructure. Same AI capabilities, zero external dependencies.
From manufacturing floors to healthcare facilities, Edge AI powers mission-critical applications.
Process patient data, clinical notes, and medical imaging without PHI ever leaving your HIPAA-compliant environment.
Analyze transactions, detect fraud, and process sensitive financial data within your secure perimeter.
Run AI directly on factory floors for quality control, predictive maintenance, and process optimization.
Deploy AI in classified environments with FedRAMP compliance and air-gapped operation.
Power in-store AI experiences without sending customer data to the cloud.
Deploy AI on edge devices, sensors, and embedded systems for real-time local processing.
We handle the complexity of Edge AI deployment so you can focus on results.
We analyze your hardware, network topology, and compute resources to determine optimal model sizing and deployment architecture.
Choose from Llama, Gemma, Phi, Mistral and other SLMs. We quantize and optimize for your specific hardware constraints.
Deploy directly in your data center, private cloud, or edge locations. Full containerization and orchestration included.
Optional domain-specific fine-tuning on your private data. Ongoing monitoring and optimization support.
Modern SLMs deliver impressive capabilities while running on standard hardware. We deploy the right model for your use case.
Beyond privacy, Edge AI delivers tangible business benefits.
Your data never leaves your infrastructure. Meet GDPR, HIPAA, CCPA, and industry-specific regulations without compromise.
No network round-trips means sub-10ms inference. Critical for real-time applications, robotics, and interactive experiences.
No per-token API fees. Once deployed, run unlimited inferences at fixed infrastructure cost. Scale without surprise bills.
No internet required. Deploy in air-gapped facilities, remote locations, or anywhere connectivity is limited or prohibited.
Requirements vary by model size. Smaller SLMs (1-3B parameters) can run on standard CPUs. Larger models benefit from GPUs but don't require enterprise-grade hardware. We'll assess your infrastructure and recommend optimal configurations.
SLMs are optimized for specific tasks rather than general-purpose capabilities. For focused use cases like document processing, code generation, or domain-specific Q&A, properly fine-tuned SLMs often match or exceed cloud LLM performance.
Yes. We offer domain-specific fine-tuning using your private data, performed entirely within your environment. Your training data never leaves your infrastructure.
We provide containerized deployments with versioned models. Updates can be applied during maintenance windows or automatically, depending on your security requirements. Air-gapped environments receive offline update packages.
Initial deployment has higher upfront cost, but TCO is typically lower at scale. No per-token fees mean unlimited usage at fixed cost. Break-even often occurs within 3-6 months for high-volume use cases.
Let's discuss your Edge AI requirements. We'll assess your infrastructure and design a deployment plan that meets your security and performance needs.
Book a 30-minute call to discuss your Edge AI requirements. We'll analyze your infrastructure and recommend the optimal deployment strategy.
Book Your AssessmentNo commitment. Understand your options before you decide.
Prefer email? Reach us at info@euforic.io