Consultation
Consultation

The real business problem 

is NOT lack of information. 
It is the time and friction required to turn that information into something people can understand quickly enough to make a decision.

Teams already have the info they need.
It is often trapped inside PDFs, spreadsheets, manuals, policies, product notes, and other hard-to-use files.
Designed with privacy first and full customization.

Easyexplain is built to reduce hallucination risk by grounding outputs to uploaded source material, especially when the input is already structured.

The practical point is not "AI for everything." 
The practical point is this:● someone drops in a file● the system reads it● the system keeps the output tied to that source
The system chooses a visual lane that fits the question.
It works with structured, semi-structured and unstructured data

Today, that works best for widgets, diagrams, and narrative presentation surfaces.
The 3D lane is real as a rendering surface, but not yet connected to generated 3D content.
The result is a faster path from raw business material to something usable in the real world: a dashboard for review, a diagram for alignment, a narrative explainer for communication, or a 3D surface ready for the next product step.
In practical terms, the value is simple: less time decoding messy source material, less manual rework, and faster understanding across teams.

Easyexplain Four Lanes Dashboard
Total Revenue $42,500 ↑ 12% vs last month

Widget

  • E-commerce Sales CSV → Scorecard of top SKUs, AOV, refund rate.
  • Facilities Utility bill → Cost view with month-over-month deltas.
Start Process End

Diagram

  • Software Platforms Architecture diagram from messy READMEs.
  • Education Concept mindmap of textbook chapters.

Product Evolution

Our new engine enables seamless visual transformation of complex data into narrative stories.

Presentation

  • E-commerce Product spec → Story block for internal review.
  • Platforms Release notes → Animated changelog explainer.

3D

  • E-commerce Roadmap: Orbiting product models.
  • Education Roadmap: Interactive teaching models.

Across all lanes, the same ingestion pipeline does the heavy lifting.

● PDFs and images go through Mistral OCR, not just simple text scraping.DOCX, CSV, TSV, JSON, JSONL, Markdown, HTML, and plain text are also supported.
● The prompt pipeline explicitly tells the model to keep labels, numbers, and values aligned to the uploaded source.
● The route is inferred from the user request, so asking for a dashboard, diagram, story, or 3D view pushes the request into the matching lane.


    It accepts structured formats such as CSV, TSV, JSON, and JSONL, along with other business document types that can contain structured information.
    It parses those files directly instead of treating them like freeform text when a structured parser is available.
    It sends a grounding rule into the prompt pipeline that tells the model every label, value, and data point must match the attached source exactly.