Overview

Synapse Hub is an intelligent aggregator hub that unifies large language models (LLMs), multimodal AI and computer vision into a single system. It provides ready-made smart pipelines to automate workflows and deliver accurate results.

A single AI hub for your organization

Synapse Hub is more than just a local ChatGPT alternative. It's an intelligent aggregator hub that brings large language models, multimodal AI and computer vision together into a single system.

The platform's key feature is ready-made smart pipelines that automatically chain different models and optimize user requests. As a result, even simple commands produce accurate, in-depth output. For example:

text can be translated to English before querying the LLM;
expert hints can be added to form the prompt correctly;
the response can be post-processed, or an image generated from just a few words.

Synapse Hub interface — Synapse Hub desktop interface

Key metrics

3-in-1

LLM, multimodal AI and computer vision

2–4×

Faster reports and documents

100%

Data stays within your perimeter

Internet connections required

Core platform capabilities

Intelligent knowledge base

Fast, accurate answers to questions about corporate algorithms, procedures and standards, based on your internal knowledge base.

Competitor & market analysis

Processing large volumes of news and reports, generating comparison tables and charts to support decision-making.

Computer vision

Object detection and recognition, image and video-stream analysis for quality control and process automation.

Content generation

Create text, images and infographics (including Stable Diffusion) from a description — speeding up marketing and training materials.

Fully on-premise

The platform requires no internet connection and runs autonomously in your infrastructure — all data stays within the organization's secure perimeter.

Why Synapse Hub

Secure by default

All data processing happens inside the company's secure perimeter, with no need for internet access. Your data stays confidential.

Optimized performance

Models are adapted and optimized for the customer's server hardware, ensuring high speed and lower operating costs.

Smart pipelines

Automatic prompt preparation, cross-model chaining and response post-processing deliver accurate, in-depth results even for simple commands.

Flexible customization

The platform adapts to unique business tasks, supports fine-tuning models on the customer's data and custom workflows.

Time savings

Automating routine processes (data analysis, search, generation) reduces report and document preparation time by 2–4×.

Scalability

Suitable for deployment on any hardware: from a local workstation to an enterprise cluster.

Pricing

Implementation cost ranges from ₽3.5M to ₽75M. It depends on the depth of plugin development, the set of loaded and/or fine-tuned models, and graph connections.

Integrating external modules (NER, ImageGen and similar) may change the price.

Requirements

8 vCPU, 32 GB RAM (minimum)
NVIDIA GPU (recommended — for LLM inference and image generation)
Linux; Docker / Kubernetes
Scales from a workstation to an enterprise cluster