



Core Capabilities
Sub-30ms RAG
Hybrid Vector & Keyword Retrieval
Distributed dense vector indexing paired with sparse BM25 reranking for ultra-low latency semantic search across multi-terabyte corpus stores.
Neural Software
Quantized Inference Engines
Tailored vLLM and TensorRT-LLM runtimes optimized for maximum GPU throughput, high batch concurrency, and minimal VRAM memory footprints.
Empirical Proof
Production System Telemetry
<18ms
Vector Search Latency
99.98%
Pipeline Reliability
10M+
Vectors/Sec Throughput
4.2x
Inference Efficiency Gain






Visual Infrastructure
Architectural Systems in Action
Real-time execution traces, distributed cluster topologies, and custom software runtimes.
Engineering Access
Submit your parameters and latency targets. Our engineering team will review requirements and deliver a deployment blueprint.

