AI-powered data analysis platform combining CSV/database connectivity with an AI copilot for instant charts, metrics, and plain-English insights.
AI-powered data analysis platform combining CSV/database connectivity with an AI copilot for instant charts, metrics, and plain-English insights.
Livedocs is a data analysis platform that launched publicly in January 2026 with a compelling premise: everything you need to analyze data in one place, with an AI copilot that eliminates the gap between having data and understanding it. The platform connects directly to CSVs, databases, and other data sources, then provides an AI-powered interface that generates charts, metrics, and plain-English insights instantly — no data engineering setup required.
What distinguishes Livedocs from traditional BI tools is its 'programming by demonstration' approach to data extraction and analysis. Rather than writing SQL queries or configuring dashboard widgets, users can show Livedocs what they want by example, and the AI learns to extract and present the relevant information automatically. This model is particularly well-suited for ad-hoc, variable analysis tasks that would break rigid, rules-based automation. When a data source changes format, instead of rebuilding an entire pipeline, you can re-train Livedocs on the new format in minutes.
The platform is designed for business users, analysts, and operators who need to make data-driven decisions without waiting for data engineering support. It handles the full workflow from data connection to visualization to insight generation, with the AI copilot serving as an always-available analyst that can answer questions about your data in natural language. For teams drowning in spreadsheets and manual reporting, Livedocs offers a significant productivity improvement by automating the most time-consuming parts of data analysis while keeping humans in the loop for interpretation and decision-making. The platform supports document-level AI extraction for invoices, forms, and structured documents, learning to identify and extract fields like vendor names, dates, and totals into organized spreadsheets.
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