achieve operational efficiency with AI blueprints enabling faster automation rollout and reduced manual effort across teams
report improved scalability through standardized deployment pipelines and consistent performance optimization using NexaStack Blueprint
experience simplified integration and orchestration, leading to smoother workflows and accelerated delivery cycles
realize better decision-making with real-time insights, intelligent automation, and streamlined data-to-action processes
Design tailored interfaces and data filters that align with business context, enhancing decision clarity through adaptive AI visualizations
Enable real-time AI inference at the edge to ensure low-latency, high-speed decisions across connected environments
Adopt AI blueprints pre-configured for industry needs and integrate effortlessly into existing platforms with minimal disruption
Deploy intelligent agents that interpret visual data, act independently, and support autonomous operations across workflows
Ray
Flyte
PyTorch
Keras
ONNX Runtime
vLLM
DeepSpeed
DeepSeek
Llama
Mistral AI
Stable Diffusion
Whisper
Inference server integration: Performance strategy focuses on optimising model deployment for scalability, low latency, and efficient performance
Deploying an OCR model with easyocr and nexaStack enables efficient text extraction, integration, and real-time model performance monitoring
Scaling open-source models: The market bridge explores strategies to operationalise open-source AI models for enterprise-grade deployment
Knowledge retrieval excellence with RAG enables accurate, context-aware responses by combining real-time retrieval with generative AI
AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability
AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly
Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics
Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment
AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready
Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter