Private-first AI data workspace Data stays privateAnalysis shows its work

DataForest is an AI data analysis desktop app for individuals and small teams. It supports a range of local file formats and professional databases, helping you bring information together, run machine learning analyses, create charts and reports, and review the analysis process.

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01 Privacy-first by design 02 Built for professional analysis 03 Intelligent from question to report

DataForest / Product

AI data analysis

Analyze data in multiple formats. Use AI, machine learning, charts and reports with DataForest, for individuals and small teams.

ANALYSIS / LIVE APP SCREEN

01 / ANALYZE DEEPLY

Professional analysis, clearly presented

Run local prediction and classification models; plans, records, charts, and conclusions remain in the same task.

  • Machine-learning algorithms Classification, time-series forecasting, clustering, and other machine-learning algorithms run directly on your machine.
  • Multiple data and text formats DataForest handles common formats including Excel, CSV, JSON and Parquet. Start by organizing fields, checking missing values, summarizing statistics or comparing trends.
  • 17+ visualization charts Interact with charts, export images, and combine line and bar charts in the same visualization.
  • Fast reporting Embedded templates export PPT, Word, PDF, and Excel; code can create a fully custom report.
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WORKFLOW / EVIDENCE TRAIL

02 / STAY FOCUSED

Plan first; conclusions stay on task

Plan first, evidence follows conclusions, and conclusions stay anchored to the task so complex, long-running work stays focused on the current goal.

  • Plan before execution Complex work begins with an analysis path anchored to the task.
  • Evidence follows conclusions Every key conclusion is supported by the evidence behind it.
  • 10,000+ file workflows Large file-processing work runs steadily and smoothly.
  • Clearer conclusions with the same token budget Compared with a general conversational agent, the same token budget reduces hallucinations by 80% and yields more accurate, clearer conclusions.
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SECURITY / LOCAL BOUNDARY

03 / KEEP LOCALLY

Three technical safety guardrails

Analysis code runs on your computer. Local storage and computation are separate from requests to the AI model you configure.

  • Storage guardrail Project input sources and output directories are clearly isolated.
  • Execution guardrail Each task and code run executes in an isolated sandbox.
  • Output guardrail Each project has independent output storage, with strict limits on cross-project reads and uncontrolled output.
  • Path de-identification The model never receives the real local directory path.
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Pricing built for simple adoption

Start with a free 1-day trial, choose monthly flexibility, or pick the recommended annual plan for ongoing use.

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DataForest FAQ

DataForest FAQ

Find out whether DataForest fits your work, what you can analyze, how to review results, and how data privacy works.

Can I use it if I am not a data analyst?

Yes. If you have data but do not know where to begin, or spend too much time preparing spreadsheets, writing analysis code and making reports, describe your goal in natural language and let AI help with the analysis. Explain what the data means and check that the methods and conclusions fit the situation.

What study and work situations is DataForest useful for?

Students, teachers and researchers can organize survey, experimental and teaching data. Ecommerce and startup teams can analyze sales, costs and operations. Creators and YouTubers can explore content performance and audience feedback. Individual investors can organize historical market and public financial data to support their own research.

How does DataForest differ from general AI chat tools such as ChatGPT and Gemini?

DataForest organizes ongoing analysis tasks in one workspace, bringing together data processing, execution, charts and reports so you can review both the process and results. Its local code environment supports long-running machine learning tasks, sustained computation and repeated analysis with a reviewable record.

Can I create charts and analysis reports?

Yes. Visualize your results and create PPT, Word, PDF and Excel deliverables for coursework, research, content creation or team discussions. Before sharing, check that chart definitions, sources and report conclusions agree.

Does local analysis mean nothing is sent to external services?

What is sent to an external model depends on your configuration. You configure the model and can choose a trusted provider or a locally running model API. Local storage and computation are separate from model requests; check the request contents and the provider's data policy. DataForest's three file safeguards prevent the AI agent from directly modifying source files, make real local paths difficult for the model to read, and prevent direct file operations outside the project's output directory.

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