Contextual AI

When the Answer depends on Understanding, not Position

Some fields are not printed anywhere. They live in a clause, a condition, or a sentence buried on page forty. Contextual AI reads for meaning, so you can ask for what a document says, not just where it says it.

Get Started Free

Book a Demo

Tender document, Extracted

Submission deadline

06 Oct 2026, 15:00 local time, per Addendum 2 which supersedes the original date

Mandatory certification

ISO 27001, held by the bidder at the time of submission

Contract term

36 months with an optional 12-month extension at the buyer's discretion

Penalty for late delivery

0.5 percent of contract value per week, capped at 10 percent

Source

Section 9.3, page 41

Where this sits in the flow

Upload

Try Free for 14 Days

Define fields

Try Free for 14 Days

Extract

Try Free for 14 Days

Refine

Try Free for 14 Days

Deliver

Try Free for 14 Days

What it Does

Reads the Document like an Expert would

Instead of locating a box, this engine understands the text, resolves references, and returns the answer to a question you asked in plain language.

Meaning Over Position

Ask for the termination notice period and get the answer, even when it is spread across two clauses and an annexure.

Meaning Over Position

Ask for the termination notice period and get the answer, even when it is spread across two clauses and an annexure.

Shows where it found it

Every extracted value points back to the passage it came from, so a reviewer can check the source in seconds.

Shows where it found it

Every extracted value points back to the passage it came from, so a reviewer can check the source in seconds.

Reads the Whole Document

Long files are read end to end and processed in the background, so a condition on the last page is not missed.

Reads the Whole Document

Long files are read end to end and processed in the background, so a condition on the last page is not missed.

Best for

Contracts, Tenders, and Long Unstructured Text

Anything written as prose rather than laid out as a form: contracts, tender documents, policy papers, reports with conclusions buried in narrative. It is also the engine behind the requirement extraction that RFP Manager relies on.

Contracts and agreements

Tenders, RFPs, and their annexures

Policies, terms, and compliance documents

Reports where the facts sit inside narrative

Which Engine

Standard Layout

Advanced Vision

Form Intelligence

Contextual AI

Recommended for prose-heavy documents where fields are described rather than labelled.

Contracts

Tenders

Policies

Unstructured text

Line items, CSV preview

Field: Notice period

How many days of written notice must either party give to terminate the agreement?

Field: Governing law

Which jurisdiction's law governs this agreement?

Field: Liability cap

What is the maximum liability of the supplier, and is it a fixed amount or a multiple of fees?

Proposed from sample

Page limit: 60

Ask in Plain Language

Define a Field by describing it

Fields here are questions. Describe what you want in a sentence and the engine finds it. Upload a sample and it will even propose the questions for you, page-aware so long documents are handled accurately.

Fields defined as plain-language prompts]

Prompts proposed automatically from a sample

Page-aware prompting for long, multi-section files

Refine any prompt when an answer is not what you meant

Honest by Design

If the Document does not say it, neither does the Output

Field: Insurance requirement

What minimum insurance cover must the supplier hold?

Not stated in this document

No insurance requirement was found in the main document or its annexures. Left empty rather than inferred.

Setup

Due date

30 Sep 2026

Total

48,200

Refine: Total

Use the grand total including tax, shown at the bottom of the final page.

Total

52,538.00

Refine with AI

Fix one Field, not the Whole Document

When a value comes back wrong or uncertain, you do not re-run everything. Point at the field, tell Extractor Studio what you expected, and it refines that field alone. Low-confidence values are highlighted so you know where to look first.

Confidence shown per field, low scores flagged in gold

Field-level refinement prompts, no full re-run

Auto-generated fields and prompts from a sample document, then your adjustments

Save the field set as JSON to reuse on the next batch

Deliver

Results where your Team already Works

Every extraction lands in one Documents view, so you can track, re-run, and download from a single place. Take results as a CSV for a spreadsheet, as JSON for a system, or let a webhook push them the moment a job finishes.

A unified Documents view for every file processed

Download CSV, or export JSON

Webhook delivery when background jobs complete

Large files run in the background, so nothing times out

Documents

purchase_order_4471.pdf

Form Intelligence

Complete

tender_bundle_annexures.pdf

Contextual AI

Processing, 62 pages

site_photo_invoice.jpg

Advanced Vision

Complete

Download CSV

Export JSON

Good Questions

About Contextual AI

How is this different from the other engines?

The other engines find values by layout. Contextual AI finds them by meaning, which is what you need when a fact is described in a sentence rather than printed next to a label.

Can I trust an answer it gives?

Is it slower?

Does RFP Manager use this?

Good Questions

About Contextual AI

How is this different from the other engines?

The other engines find values by layout. Contextual AI finds them by meaning, which is what you need when a fact is described in a sentence rather than printed next to a label.

Can I trust an answer it gives?

Is it slower?

Does RFP Manager use this?

Good Questions

About Contextual AI

How is this different from the other engines?

The other engines find values by layout. Contextual AI finds them by meaning, which is what you need when a fact is described in a sentence rather than printed next to a label.

Can I trust an answer it gives?

Is it slower?

Does RFP Manager use this?

Keep Exploring