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| Rating | 
                                                                                     
                                                                                                                                                                        
                                                                                                                                                                                                                                
                                                                                                                                                                                                                                
                                                                                                                                                                                                                                
                                                                                                                                                                                                                                
                                                                                                                                                                3.8
                                                 
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                                                                                                                                                                4.6
                                                 
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| Reviews | 5 | 11 | 
| Category | Project Management | Project Management | 
| Description | 
                                         Battle-tested + highly modular vision infrastructure to convert PDFs, PPTs, Word, Excel, PNG, and JPEGs into LLM-ready data. We started by building lumina.sh - where we needed to parse ~600M pages of scientific literature. The researchers didn't care - but devs wanted our ingestion pipeline. So we built chunkr instead. We offer high quality layout analysis, OCR, bounding boxes, granular VLM controls, semantic chunking, and all the last mile engineering that goes into building standout AI applications. Common use-cases include RAG, and automating document workflows like invoices/medical reports -> database.  | 
                                                                    
                                         Entangl uses AI to detect and automatically resolve issues in data center engineering and operations, ensuring efficiency and uptime.  | 
                                                            
| Website | https://chunkr.ai/ | https://www.entangl.com/ | 
| Positives | 
                                                                                                                             "Easy to set up and get started. Very intuitive." 
                                            
                                                Garnett Davis - 5/5
                                             
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                                                                                                                             "Really impressed with the features and ease of use." 
                                            
                                                Mrs. Luella Reinger V - 5/5
                                             
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| Negatives | 
                                                                                                                             "Too complex for our needs. Not user-friendly." 
                                            
                                                Shaniya Gleason - 1/5
                                             
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                                                                                                                             "Performance issues during peak usage times." 
                                            
                                                Orion Romaguera - 2/5
                                             
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| Details | View Full Review → | View Full Review → |