Skip to main content
Nebula

Vision for Your AI

Charts, tables, and business files become structured Markdown and JSON.

Your AI can finally see.
Charts, tables, documents
Megane-kun
Nebula
Markdown + JSON
# Structured output
| item | value |
| --- | ---: |
{"layout":"preserved","format":"json"}
Chart parsing
Layout preserved
Table structure
Markdown + JSON
Japan-hosted
Sample
100%
M&A Annual Report 2025 — Global deal activity
Nebula output

greater transparency, adding as many as 121 hours to the preparation of filings for complex deals.¹⁴ The provisions are aimed at more aggressive antitrust enforcement and necessitate providing information up front that agencies would normally only receive after opening a preliminary investigation.¹⁵ Even if these new regulations were eventually relaxed, any change would likely be protracted—encumbered by the need to unwind a thicket of procedural rules.

Looking back at 2024 global M&A returns

In anticipating how these and other developments will influence trends in M&A in the year ahead, there’s still much to learn from the global market’s recent performance.

For all of 2024, the global value of deals over $25 million rose 12 percent (to $3.4 trillion, from $3.1 trillion in 2023) as the number of companies changing hands increased 8 percent (to 7,784, from 7,206 in 2023) (Exhibit 2). Average global deal value rose 4 percent (to $443 million from $424 million in 2023) as macroeconomic conditions improved and as dealmakers—toughened by repeated rounds of volatility—grew more inured to geopolitical tensions and political transitions.

Exhibit 2

Globally, M&A activity increased 12 percent in 2024.

Announced global M&A deals, 2015–24¹

<!-- page-background: white -->

Chart: Deal Value ($ billion) - Bar Chart

{
  "type": "bar",
  "data": {
    "labels": ["2015", "2016", "2017", "2018", "2019", "2020", "2021", "2022", "2023", "2024"],
    "datasets": [
      {
        "label": "Deal value, $ billion",
        "data": [4500, 3800, 3600, 4200, 4000, 3700, 5800, 3600, 3100, 3500],
        "backgroundColor": "#002A6D"
      }
    ]
  },
  "options": {
    "scales": {
      "y": {
        "title": {
          "display": true,
          "text": "Deal value, $ billion"
        },
        "beginAtZero": true,
        "ticks": {
          "stepSize": 1000
        }
      },
      "x": {
        "title": {
          "display": true,
          "text": ""
        }
      }
    },
    "plugins": {
      "title": {
        "display": false
      }
    }
  }
}

Chart: Deals (thousand) - Line Chart

{
  "type": "line",
  "data": {
    "labels": ["2015", "2016", "2017", "2018", "2019", "2020", "2021", "2022", "2023", "2024"],
    "datasets": [
      {
        "label": "Deals, thousand",
        "data": [8.5, 8.6, 8.7, 8.8, 8.5, 8.4, 12.5, 9.8, 7.2, 7.8],
        "borderColor": "#007BFF",
        "fill": false,
        "pointRadius": 4,
        "pointBackgroundColor": "#007BFF"
      }
    ]
  },
  "options": {
    "scales": {
      "y": {
        "title": {
          "display": true,
          "text": "Deals, thousand"
        },
        "beginAtZero": true,
        "ticks": {
          "stepSize": 2
        }
      },
      "x": {
        "title": {
          "display": true,
          "text": ""
        }
      }
    },
    "plugins": {
      "title": {
        "display": false
      }
    }
  }
}

(World map icon)

¹ Announced deals not withdrawn or canceled; deal value >$25 million.
Source: Dealogic; McKinsey M&A Insights

McKinsey & Company


¹⁴ Anat Alon-Beck, “New FTC rules tighten the screws on private equity in mergers,” United States Law Week, October 21, 2024.
¹⁵ Ryan Phair, Michael Murray, and Catherine Kordestani, “Dealmakers face a time-consuming filing burden under new rules,” United States Law Week, October 24, 2024.

An annual M&A outlook page with narrative text, a bar chart, and a line chart. Nebula extracts the page text and returns the chart data as Chart.js-compatible JSON inline.

Why Nebula

Five reasons teams choose Nebula for document intelligence.

Nebula helps business professionals turn visual documents into structured data their AI systems can reason over.

Chartto data

Charts become structured text

Chart labels, series, values, and context are converted into AI-ready Markdown and JSON for downstream reasoning.

Tablespreserved

Tables keep their structure

Rows, columns, merged cells, and numerical relationships survive the parse instead of collapsing into flat text.

AsyncAPI

Built for document pipelines

Upload files or folders. Jobs run independently with batch-level status, retries, and per-job audit metadata.

90+languages

Japanese-strong, multilingual

Tuned for Japanese corporate, legal, and financial documents, including mixed JP/EN layouts, charts, and bilingual tables.

100%Japan-hosted

Sovereign by design

Documents are processed and stored exclusively in Japan. No data sharing and no external training.

Sovereignty & trust

Built so document data never leaves Japan.

Nebula is engineered around data residency from day one. Documents are processed and stored in Japan, never used for external model training, and never shared with third parties.

Documents stay in Japan
Source uploads, intermediate artifacts, and final Markdown are all processed and stored in Japan.
No data sharing or training
Your documents are not used to train external models, shared with third parties, or exposed outside Nebula.
API-key authentication
Every API call is authenticated with a per-customer key scoped to your tenant.
Per-job audit trail
Each job records timing, status, page-level outcomes, and retry attempts for audit review.
100% Japan-resident
Uploads, processing, and outputs all stay in-country.
  • Documents processed and stored in Japan
  • Customer data never leaves Japan
  • Not used to train external models
  • Per-customer API key authentication
  • Per-job audit trail for security & finance

Your security, legal, and procurement teams get a simple answer on data residency: documents you send to Nebula stay in Japan, end to end.

Use cases

One layer for many document workflows.

Use Nebula wherever business knowledge needs to move from visual documents into AI systems — RAG, agents, analytics, and downstream LLM pipelines.

01

Japanese financial documents

Convert annual reports, governance materials, IR releases, and disclosure filings into structured AI inputs without losing Japanese layout details.

02

Bank statements, expenses, invoices

Turn issuer-specific statement layouts and back-office documents into normalized line items for accounting and reconciliation agents.

03

Board decks & presentations

Extract slide structure, narrative, tables, and chart series from PowerPoint exports without flattening the visual context.

04

Data rooms & RAG ingestion

Prepare large enterprise PDF estates for retrieval, summarization, diligence, and agentic workflows.

05

Legal & regulatory corpora

Ingest long Japanese legal PDFs with footnotes and citations preserved in reading order.

Quality & validation

We evaluate for downstream AI-readiness, not surface text matching.

Surface character accuracy is a floor, not a ceiling. We validate whether Nebula output supports question answering, table reasoning, chart interpretation, and Japanese business document understanding.

Downstream LLM answerability
Can a model answer real business questions from Nebula output?
Structure & reading order
Headings, hierarchy, lists, and footnotes preserved end to end.
Tables & charts as data
Numerical fidelity and JSON series, not flattened text.
Japanese & multilingual
Strong on Japanese business and legal documents.
FAQ

Frequently asked questions about Nebula.

What Nebula is, how it processes documents, where the data lives, and how to integrate.

Try Nebula

Parse business documents into AI-ready structure.

Sign in, upload a document, and get chart-aware Markdown plus structured JSON in minutes. No demo required — try Nebula directly with your own files.

100% Japan-hosted — data never leaves Japan
Markdown + structured JSON output for RAG and agents
Tuned for Japanese financial, legal, and business documents