Valuer.ai

Founded by Dennis Poulsen in 2017

Build custom machine learning workflows and forecast market trends from complex enterprise data

Pricing model

Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Valuer.ai to build custom machine learning models and data pipelines across complex enterprise datasets. It connects to multiple document formats like spreadsheets and PDFs to extract structured information and generate predictive forecasts. You can track supply chain bottlenecks, conduct automated market research, and predict sales demand across different facilities. The system processes high volumes of operational records in private cloud setups, allowing leadership teams to uncover hidden scheduling patterns, lower operational overhead, and make informed business choices based on verifiable historical and real-time data.

What Valuer.ai does

Extract structured data from PDF reports and spreadsheetsTrain machine learning models on historical time-series dataQuery internal business documents using retrieval-augmented generationForecast quarterly product sales volumesGenerate automated competitive market intelligence briefsIdentify operational bottlenecks across plant schedulesParses text and tables from PDF files and Excel spreadsheetsVectorizes raw data for multi-layered retrieval-augmented generation searchBuilds predictive models for supply chain logistics and demand planningDeploys custom machine learning pipelines to private cloud environmentsConducts multi-modal analytics across documents, websites, and databasesDetects operational bottlenecks and scheduling conflicts across facilitiesDelivers automated competitive intelligence and market research reports