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cortexys.ai

AI Solutions Details

Discover 4 core solutions that create the deepest business value with the lightest models.

Lightweight Model Optimization

sLLM & SLM Optimization

We build lightweight AI models that can run in on-premise environments through parameter optimization and quantization technology.

Model Compression - Reduce model size with various techniques like Pruning, Distillation
Quantization - Support various quantization formats like INT8, INT4, GGUF
On-premise Setup - Configure environment that can operate safely on internal servers
Inference Optimization - Maximize inference speed with vLLM, TensorRT-LLM, etc.

Tech Stack

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Use Cases

Business scenarios suitable for this solution

1
AI adoption for security-critical financial/medical institutions
2
Startups needing cloud cost reduction
3
AI services in network-limited environments
4
Customer service requiring real-time responses
Enhanced Security
Customization

Retrieval Augmented Generation

Advanced RAG

We build advanced retrieval augmented generation systems based on internal corporate documents. We ensure hallucination control and data security.

Hybrid Search - Maximize accuracy with BM25 + Dense Retrieval combination
Reranking - Improve relevance with cross-encoder based reranking
Hallucination Control - Provide source-based responses and confidence scores
Data Security - Support on-premise vector DB and encryption

Tech Stack

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Use Cases

Business scenarios suitable for this solution

1
AI assistant based on company regulations/manuals
2
Automatic customer inquiry response system
3
Technical document search and summarization
4
Legal/contract analysis assistant
Enhanced Security
Customization

Vision-Language Model

Multimodal VLM

We develop visual intelligence solutions that understand image and video data and reason in text.

Image Analysis - Image captioning, object recognition, scene understanding
Document/Drawing OCR - Extract information from complex documents and drawings
Video Analysis - Video summarization, event detection, action recognition
Visual QA - Natural language Q&A about images

Tech Stack

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Use Cases

Business scenarios suitable for this solution

1
Manufacturing process quality inspection automation
2
Medical image analysis assistance
3
Security camera anomaly detection
4
E-commerce product analysis
Enhanced Security
Customization

AI Agent

Agentic Workflow

We develop autonomous AI agents that perform real workflows through API integration, going beyond simple chatbots.

Multi-Agent - Collaborative orchestration of multiple AI agents
Tool Integration - External API, database, system integration
Task Decomposition - Break down complex tasks into steps and execute
Automated Workflow - Automate repetitive business processes

Tech Stack

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Use Cases

Business scenarios suitable for this solution

1
Automatic customer inquiry handling and ticket creation
2
Data collection and automatic report generation
3
Schedule management and meeting coordination
4
Code review and documentation automation
Enhanced Security
Customization

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