Agentic & Edge AI for mission-critical systems.
Edge Pulsar engineers local intelligence architectures: from cloud LLMs to local SLMs, small models fine-tuned for domain tasks, local inference with deterministic guardrails, and autonomous software modules operating within strict industrial constraints.
Why this
matters
SLMs are probabilistic. That is precisely why they require industrial-grade system engineering around them: constrained outputs, confidence thresholds, fallback logic, and full auditability so that a probabilistic component operates safely within a governed industrial architecture.
How we execute
Local Inference & Hardware Optimization
Engineered deployment on Industrial PCs, edge GPUs, and NPUs using ONNX Runtime, TensorRT, and Ollama/vLLM with strict resource budgeting.
Deterministic Guardrails & Output Validation
Constrained JSON/schema outputs, confidence scoring thresholds, and hard real-time fallback logic ensuring deterministic boundaries.
Contextual Retrieval & Field Engineering
Local contextual document retrieval (RAG) over engineering manuals, fault trees, and operational telemetry without external cloud dependencies.
Industrial Protocols & Tool Calling
Bidirectional agentic integration with OT protocols including OPC-UA, Modbus, CAN bus, and MQTT for auditable industrial copilot execution.