TECHNICAL FOUNDATION

Enterprise-Grade AI Infrastructure

Our architecture combines a PostgreSQL + pgvector knowledge base with multi-model AI workflows, built for lean business teams without in-house IT.

CORE COMPONENTS

Modular AI Architecture

Infonexs builds on a robust, modular design, integrating advanced AI capabilities into secure, efficient workflows for your business.

Vector Retrieval Engines

Efficiently access and retrieve context from your proprietary knowledge bases for precise AI responses.

LLM Orchestration

Seamlessly manage large language model interactions to automate complex business processes.

Human-in-the-Loop Controls

Automated actions can require staff approval before they run, keeping people in control of customer communication and sensitive tasks.

PERFORMANCE & SECURITY

Roadmap: GPU-Accelerated Private Inference

We plan to serve open-source models such as Llama and Qwen privately with NVIDIA NIM and Triton, and accelerate vector search with NVIDIA cuVS. This will reduce API costs and let customers keep data in their own environment.