
EyeLevel AI
EyeLevel AI is an AI platform for building high-accuracy RAG applications. Ideal for enterprises, it helps eliminate hallucinations using vision-powered parsing.

January 7th, 2026
About EyeLevel AI
EyeLevel AI is an AI platform that helps developers and enterprises achieve 95% RAG accuracy without the common failures of standard vector search systems.
The platform is powered by GroundX, an ingestion engine that utilizes proprietary vision models trained on over one million enterprise document pages. This technical approach preserves critical spatial context for tables, forms, and complex diagrams that traditional text-based chunking typically loses. By converting visual data into semantic objects, EyeLevel AI provides a robust data pipeline that ensures LLMs receive high-fidelity context for truly grounded generation.
The system supports massive enterprise scale, offering a guaranteed 3-second retrieval time for up to 100 concurrent users in its production configurations. It handles data with extreme security via AES-256 encryption and offers specialized deployment options for air-gapped Kubernetes environments. Whether utilizing the managed cloud or on-premise infrastructure, the platform integrates seamlessly with any LLM, including OpenAI, Groq, and Llama-3, through a streamlined API suite.
Environment – Kubernetes / Cloud / Air-gapped
Browser / Automation – URL Web Crawling
Toolchain – API-first / Python / JavaScript
Core Loops – Autonomous ingestion and evaluation
Capabilities – Vision-powered X-Ray parsing and semantic search
💰 Pricing
Contact for Pricing
🌍 Why Choose EyeLevel AI?
✅ 95% accuracy for complex document ingestion
✅ Vision-powered parsing preserves table and diagram context
✅ Secure air-gapped deployment for high-compliance sectors
✅ 3-second retrieval speed at enterprise scale
Popular among financial analysts and legal compliance teams
🌐 Discover EyeLevel AI and thousands of other AI tools on Beyond The AI - your trusted directory for AI solutions.
The platform is powered by GroundX, an ingestion engine that utilizes proprietary vision models trained on over one million enterprise document pages. This technical approach preserves critical spatial context for tables, forms, and complex diagrams that traditional text-based chunking typically loses. By converting visual data into semantic objects, EyeLevel AI provides a robust data pipeline that ensures LLMs receive high-fidelity context for truly grounded generation.
The system supports massive enterprise scale, offering a guaranteed 3-second retrieval time for up to 100 concurrent users in its production configurations. It handles data with extreme security via AES-256 encryption and offers specialized deployment options for air-gapped Kubernetes environments. Whether utilizing the managed cloud or on-premise infrastructure, the platform integrates seamlessly with any LLM, including OpenAI, Groq, and Llama-3, through a streamlined API suite.
Environment – Kubernetes / Cloud / Air-gapped
Browser / Automation – URL Web Crawling
Toolchain – API-first / Python / JavaScript
Core Loops – Autonomous ingestion and evaluation
Capabilities – Vision-powered X-Ray parsing and semantic search
💰 Pricing
Contact for Pricing
🌍 Why Choose EyeLevel AI?
✅ 95% accuracy for complex document ingestion
✅ Vision-powered parsing preserves table and diagram context
✅ Secure air-gapped deployment for high-compliance sectors
✅ 3-second retrieval speed at enterprise scale
Popular among financial analysts and legal compliance teams
🌐 Discover EyeLevel AI and thousands of other AI tools on Beyond The AI - your trusted directory for AI solutions.
Who is using EyeLevel AI?
Enterprise Developers Data Engineers AI Solution Architects Compliance Officers Legal Tech Teams
Key Features
- X-Ray Vision-Powered Parsing
- 95% RAG Accuracy Benchmarking
- Air-Gapped Kubernetes Support
- 3-Second Retrieval Latency
- Semantic Search API
- Automatic Data Chunking
- AES-256 Data Encryption
- Multi-format Support (PDF, JPG, PNG)
Use Cases
- Automating financial report analysis
- Building secure legal research assistants
- Processing complex technical manuals
- Enterprise-wide semantic knowledge bases
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