Product

Every insurance document, structured and cited.

Konishi reads tenders, answers your questions, and fills your templates. Every value comes back with the exact page it came from, so your team reviews and approves instead of re-keying.

01 Tender & RFQ analysis02 Ask your documents03 Template population
01 · Tender & RFQ analysis

Drop in a 100-page tender. Get the 50 items that matter.

Konishi pulls the requirements you actually need to price and respond, checks them against your standard exclusions, and shows you exactly where each one came from.

Pulls the ~50 items you need out of a 100-page document
Flags what's missing, never quietly drops it
Checks coverage requirements against your standard exclusions
Surfaces inconsistencies before they cost you a deal
Tender_Health_2026.pdf · 100pp Ask AI
Extracted
Sum insured
$4.2M p.12
Flood exclusion
Excluded p.42
Deductible
$25k p.19
Territory
GCC p.31
Cited from
Page 42
“…damage caused by flood shall be excluded under clause 4.2…”
p.42
02 · Ask your documents

A colleague who has read every page.

Ask questions in plain language and get answers grounded in the source. Compare policies, dig into detail, and navigate long submissions without scrolling through hundreds of pages.

Chat with your documents like a well-read colleague
Compare policies side by side in one question
Navigate long submissions by asking, not scrolling
Every answer is backed by the source text
Ask your documents
Which policies exclude flood?
3 of 7 policies exclude flood damage.
p.42p.51p.63
Compare deductibles across all three.
Policy B is lowest at $10k, then A at $25k, then C at $40k.
p.7
Ask about these documents…
03 · Template population

Your Excel template, filled from messy source data.

Konishi populates the exact templates your team already uses. It understands the structure across sheets, reshapes the data to fit, and color-codes anything it couldn't find instead of guessing.

Populates the exact Excel templates you already use
Reshapes long-to-wide and preserves cross-sheet relationships
Splits bundled cells into clean, separate rows
Missing data is flagged and color-coded, never guessed
Census Data
6 tables · 102 formulas
393 / 1463 missing
ABCDEF1NameRelDOBAgePlanBand2ArshadSelf197649AEWH3SpouseWife198144SPEWH4ChildSon201015?SD
populatecalculatedreferenceflagged
What's next

On the roadmap

Where Konishi is heading, shaped by how insurance teams in the region actually work.

01

Bilingual document handling

Full support for Arabic and English documents, built for the region.

02

Domain-aware accuracy layer

Verification built on insurance knowledge: validating formats, catching broken formulas, and tracing calculation errors to their source.

03

An analyst inside your spreadsheet

An agent that works alongside you in Excel to analyze your data, not just populate it.

04

Self-hosted deployment

Self-hosted, open-source models for full in-tenant deployment where regulation or preference requires it.

See it run on your own documents.

Bring a real tender and a real template. We'll show you Konishi working against them.

Book a demo

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