INTELLIGENCE
EMBEDDED
Next-Gen LLM Integration Protocols
Next-Gen LLM Integration Protocols
Deploy RAG-enhanced neural interfaces. Beyond simple Q&A, our agents maintain long-term state, understand user intent through semantic analysis, and execute function calls directly within your infrastructure.
Replace static RegEx with semantic validation models. LLMs parse unstructured input, correct formatting errors in real-time, and ensure data hygiene before it hits your database.
validate(input) => {
confidence: 0.98,
sentiment: "positive",
intent: "purchase"
}
Transform raw clickstreams into actionable narrative strategies. Embed LLMs to analyze user behavior patterns and dynamically adjust UI/UX elements to maximize engagement.
Transmute unstructured corporate knowledge bases into queryable high-dimensional tensors. Our pipeline automatically chunks, embeds, and indexes data for sub-second context retrieval.
Enforce strict output schemas and prevent prompt injection attacks. Our middleware intercepts LLM calls to redact PII and validate compliance before response generation.
Orchestrate inference across edge devices and cloud clusters. Optimize for privacy or performance dynamically.
Quantized Local Models (ONNX/GGUF)
Scalable Inference Clusters
Real-time object detection and OCR extraction. Turn pixels into structured JSON data.
Bi-directional audio streams. Whisper for transcription, Neural TTS for emotive response.
3D point cloud processing for robotics and spatial computing interfaces.
Deploy specialized agent teams. The "Coder" writes, the "Reviewer" critiques, and the "Manager" coordinates—all autonomously.
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