The room is open — your 35-second tour is playing below

Data enters.Confidence leaves.

EDEN transforms scattered, inconsistent data into clear, reliable numbers — ready for your boardroom. Every change is recorded. Every figure can prove where it came from.

Enter the data room

Demo shown with fictitious sample data

What it does · The four rooms

Four rooms, each proven
by its output.

Every path ends in an artifact you can hand to a partner, a regulator, or a board — and every artifact carries its own trail.

01

DataPrep

Live now

Upload any CSV or XLSX — no row limits; extremely large files are the point. Headers normalised, dates parsed, duplicates withdrawn, numbers standardised, then the whole dataset scored for quality. Not silently: every transformation is an entry in the ledger, the way the exhibit above is doing it right now.

  • —Auto-cleanse + data quality score
  • —Data explorer & full audit trail
  • —Export — clean CSV / XLSX
Proof — the flagship, running live in Exhibit 01
Completeness100%
Consistency99.4%
Uniqueness99.9%
quality score · grade A · every fix logged
02

Financial analysis

Live now

The full cleaning pipeline plus KPI extraction, trend detection, and eight interactive chart types — bar, trend line, donut, histogram, waterfall, funnel, treemap, scatter. One click builds the boardroom deck: executive summary, revenue trend, segments, quality gauge, audit trail, and narrative insights.

  • —KPIs, trends & distributions
  • —8 interactive chart types
  • —Export — CSV / XLSX / PDF / PPT deck
Output — a six-slide boardroom deck, one click
8 chart types · KPIs & trends · PDF / PPT deck
03

Market intelligence

Live nowPro

Upload earnings PDFs or XLS filings from multiple companies. EDEN extracts, normalises currency, units and fiscal periods, then compares peers toe-to-toe across 60 Bloomberg-standard parameters — every flag calibrated against the sector median, with the reasoning attached.

  • —PDF & XLS earnings ingestion
  • —60 Bloomberg-standard parameters
  • —Peer-to-peer comparison matrix
  • —Runs on EDEN's in-house document-intelligence engine
outperform >10% vs medianin line ±10%underperform >10%
Revenue
EBITDA %
PAT
outperform >10%in line ±10%underperform >10%
60 Bloomberg-standard parameters · vs peer median
04

Credit view

Live nowPro

Upload a loan case bundle — sanction letter, CAM, KYC and bureau reports. EDEN cross-checks every parameter across documents, flags discrepancies with source provenance, and builds a case file a risk committee can interrogate: pull any number and find its source waiting underneath.

  • —Cross-document consistency checks
  • —Credit & risk parameter extraction
  • —Export — audit-ready Excel workbook
  • —Runs on EDEN's in-house OCR + RAG engine
Output — a defensible credit memo, one click
EMI₹18,540sanction = CAMMatch
Tenure60 mo3 sources agreeMatch
ROI9.1% vs 9.4%sanction ≠ CAM p.3Flag
cross-document consistency · source provenance
Under the floor · The engine room

Custom OCR and RAG.
Not rented — engineered.

Market intelligence and Credit view run on instruments built in-house at EDEN AI Labs: an OCR that reads scans, stamps and broken tables the way an underwriter does, and a retrieval engine that holds every page of the bundle and answers with citations. Watch them work.

Exhibit 02 · the reading pass · custom OCR, built in-house
SANCT1ON LETTER — VEH1CLE L0AN
8orro//er: A. 5PEC1MEN
Amt 5anctioned: ₹12,4O,OOO/-
R0l — 9.4% p.a. (f1oat1ng)
Tenure: 6O rnonths
[ stamp — partially legible ]

scans · stamps · broken tables · handwriting-adjacent print

fictitious sample data — no real persons or institutions

The extraction — every field, a confidence
✓00:00.32borrower_name · conf 0.97
✓00:00.58sanctioned_amount · conf 0.96
✓00:00.81roi_pct · conf 0.94
✓00:01.02tenure_months · conf 0.98
✓00:01.28stamp region · escalated to vision · read
5/5fields recoveredavg conf 0.96
Exhibit 03 · total recall · custom RAG, built in-house
?
The retrieval — every page of the bundle, held in memory
sanction_letter.pdfp.3similarity 0.92
…loan sanctioned by Provenance Bank Ltd, central branch…
insurance_policy.pdfp.1similarity 0.89
…hypothecated to Provenance Bank Ltd under policy 4471-VX…
CAM.pdfp.7similarity 0.84
…financier of record: Provenance Bank — hypothecation noted…
Match

Hypothecation names Provenance Bank Ltd — consistent across all three documents.[1][2][3]

answers carry citations — a number without a source never leaves this room · fictitious sample data

Who it's for · The visitors

Built for teams who must
defend their numbers.

V–01

FP&A teams

Close cycles faster — board decks built from raw exports in one click, every figure traceable to its source.

Room 01 →Room 02 →
V–02

Risk & compliance

An immutable audit trail under every number — reports your auditors can interrogate, not just read.

Room 01 →Room 04 →
V–03

Credit & lending

Whole loan bundles cross-checked document against document — every mismatch flagged with its source attached.

Room 04 →
V–04

Market research

Rival filings compared peer to peer across 60 Bloomberg-standard parameters, with the reasoning shown.

Room 03 →
V–05

Consulting firms

Client-ready analysis from whatever the client sends — cleaned, charted, and in a deck the same afternoon.

Room 02 →
V–06

Operations

Messy operational data standardised across sources — no row limits, every change logged.

Room 01 →
Also at home inHealthcare·Telecom·Retail·Manufacturing·Logistics
Contact us · 2026

Intelligence engineered for modern businesses.

Data. Intelligence. Growth.

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