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superseded result

This is the result as it was published on 24 October 2026. A newer result replaced it on 27 October 2026; this page is kept so that anything that cited it still resolves. Read the current result →

Graded 23 October 2026

Can FutureSmart Document Intelligence extract a field by learning from examples?

FutureSmart Document Intelligence did not show learning from examples on this field. It returned the correct label, business, for the unseen invoice in both the seven-document collection and the separate control collection, and it offers no way to supply labeled examples or train from them.

1 of 1 test case failed

Every test case in this scenario has a result.

Pass rate0%0 of 1 gradable
Coverage1 of 1test case with a result
0PassNo test case passed.
1FailMissed at least one thing it was expected to do; the reason and proof are on the row.
0Not gradableEvery result here could be graded.
0UntestedEvery test case in this scenario has a result.
The pass rate is a summary. The evidence is the test case below: what we sent, what we checked, what the tool returned, and the proof.

The test case

Each test case is judged on its own: Pass, Fail, Not gradable, or Untested. The scenario result above counts this row.

Rule learned only from labeled examplesFailEvidence
What we sent
Input 1Document (PDF)
Input PDF 1 of 6: business-labeled invoice
Open the PDF ↗
Input 2Document (PDF)
Input PDF 2 of 6: individual-labeled invoice
Open the PDF ↗
Input 3Document (PDF)
Input PDF 3 of 6: individual-labeled invoice
Open the PDF ↗
Input 4Document (PDF)
Input PDF 4 of 6: business-labeled invoice
Open the PDF ↗
Input 5Document (PDF)
Input PDF 5 of 6: individual-labeled invoice
Open the PDF ↗
Input 6Document (PDF)
Input PDF 6 of 6: business-labeled invoice
Open the PDF ↗
Input 7Document (PDF)
Input PDF: unlabeled invoice to predict
Open the PDF ↗
What the tool returned

business business

Transcribed from Proof 4 · Screenshot

Transcribed from Proof 3 · Screenshot

Every message the tool sent, in order (2)
  1. Final response (message 1 of 2)

    business

  2. Final response (message 2 of 2)

    business

Expected vs. Found
✗Expected: The unseen invoice should follow the label pattern shown in the examples.Found: It returned the correct label, business, for the unseen invoice in both collections, including the separate control with no examples, and it has no labeled-example training path.
Supporting proof
Proof 1Screenshot
Knowledge table: seven-document training collection
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Proof 2Screenshot
Knowledge table: isolated control collection
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Proof 3Screenshot
Detail panel: unseen invoice in training collection
Open original ↗
Proof 4Screenshot
Detail panel: unseen invoice in control collection
Open original ↗
Proof 5Screenshot
Settings: answer model and tabs
Open original ↗
Proof 6Screenshot
Settings: structured extraction and document fields
Open original ↗
Proof 7Screenshot
Settings: section fields and built-in chunks
Open original ↗
Why this result

The product had to let labeled examples teach the field, but its settings and intake options show no training workflow. The same invoice returned business in the seven-document collection and in the separate one-document control, so the result does not show learning from examples.

Also observed on this row

Casing matches labels. The labeled examples' values match the capitalized banner text in each file, while the unseen invoice returns lower-case business.

Control matches training. The isolated control and the seven-document collection both return business for the same unseen invoice.

Tested by Rugved nichite · evidence dated 21 September 2026
Limitations of this result

This version cannot separate learning from prior knowledge because the zero-example control still returned business. A later version used a new corpus, and this result was not rerun.

The unseen invoice prints no customer tier value; the correct label comes from the answer key.

One settings capture shows only document type and summary; the knowledge table shows customer tier with 3/3 filled, but that field's description is not shown.

Configuration and setup

How this tool was set up for the run and what the test needed in place. Each row is a fact from the run's records; a fact the records do not hold is left out, not guessed.

Software that produced the output
FutureSmart Document Intelligence
Build or version
Not exposed by the hosted product
Model
gpt-5.4-mini
Surface
Web app
Set up before the run
Six labeled invoices from one supplier were uploaded as ordinary documents with structured extraction on and a customer tier field, then the unlabeled invoice was added; the same invoice was also uploaded alone into a separate control collection.
Provider
openai
Temperature
0
Max tokens
1024
Structured extraction
ON
Tested
21 September 2026 · Rugved nichite

How this scenario is graded

How we decide Pass, Fail and Not gradable. The same rules apply to every tool tested on this scenario.

How results are decided

Each test case gets one result per tool: Pass, Fail or Not gradable. A test case we haven't run yet shows Untested. There are no partial results.

The rules
  • Pass: the tool did everything the test expected, and nothing it said contradicts the correct answer.
  • Fail: at least one expected behaviour clearly didn't happen; the row says which and quotes the tool.
  • Not gradable: our evidence couldn't settle the outcome (for example a record we needed is missing). It is never counted as a fail, and the row says what's missing.

Where this sits in the benchmark

This page is one cell of a larger study: one tool, one scenario. Only this benchmark's frame appears here.

History of this result

What has happened to this result since it was first published. Runs and grades are never overwritten: a retest or a re-grade publishes a new result and keeps the earlier one readable.

from the publication record
24 October 2026First publishedStructured Document Extraction v1
27 October 2026Updated — the page was revised
The result is unchanged: 0 pass · 1 fail. The earlier result stays readable. Read the earlier result →

Act on this result

Nothing filed here edits the run or the grade. A challenge opens a review, and a review can produce a new run or a re-grade — which becomes the current result and leaves this one in the history.

This matches what I see

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This does not match

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Point out an issue

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We have fixed this

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Vendor notice →
Filed against this evidenceNothing yet. Challenges, counter-evidence and fix notices appear here with their outcome, and stay on the page after they are resolved.
Cite this result
aidemos.com/benchmarks/structured-document-extraction/results/futuresmart-document-intelligence/a-field-the-tool-can-only-get-right-from-examples · 0 pass · 1 fail · coverage 1/1 · graded 2026-10-23

The same record is available as structured data through the AI Demos MCP server, with the counts, the coverage and every per-test-case reason carried as fields.

Verify the proof files

These files support this result. Open a file to inspect the original evidence.

Input 1 · Document (PDF) ↗application/pdf · 51 KB
Input 2 · Document (PDF) ↗application/pdf · 50 KB
Input 3 · Document (PDF) ↗application/pdf · 50 KB
Input 4 · Document (PDF) ↗application/pdf · 50 KB
Input 5 · Document (PDF) ↗application/pdf · 50 KB
Input 6 · Document (PDF) ↗application/pdf · 50 KB
Input 7 · Document (PDF) ↗application/pdf · 51 KB
Proof 1 · Screenshot ↗image/png · 117 KB
Proof 2 · Screenshot ↗image/png · 72 KB
Proof 3 · Screenshot ↗image/png · 90 KB
Proof 4 · Screenshot ↗image/png · 84 KB
Proof 5 · Screenshot ↗image/png · 114 KB
Proof 6 · Screenshot ↗image/png · 122 KB
Proof 7 · Screenshot ↗image/png · 111 KB
File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Input 1 · Document (PDF)dea2aa184ec34abf50a9744d1a82ffa20f34457ba4abb2cea88bece93b66b796
Input 2 · Document (PDF)c699d5e88de651215ac2c82084dd1f6712af06cec9c60aab945e9daac6bae893
Input 3 · Document (PDF)3aa1452b265b767a2ba55e9e3f914c3d90c979c98961e56038bc8900c3b93b64
Input 4 · Document (PDF)203375c4433a244ad4dba5880fe94ada624d92fbf96dce731786763cf6b95886
Input 5 · Document (PDF)bd2837d3c2f8d67bbf55164d38812b0d4557d6a8c3abb4a5a2a194eaa941bc3d
Input 6 · Document (PDF)941f5a624b7261fce242efae134c6521522c2a40f8278519a3c8f5003e241149
Input 7 · Document (PDF)3e4afc06f64b481107297aa300a32139ebeee1acfc89ec41b5d0e8e7631514a5
Proof 1 · Screenshot0322fb67b308a8f34e2a2fde429128572a12cb2488b2a8458549dfbe42f91646
Proof 2 · Screenshotdb7606404024d396f9700981cba2baad78baef50a4c1edf464f3af77b05d396b
Proof 3 · Screenshot3cda81feee0415393a60a086ed195e1507325b68c2fa81ffe600dda49cbd145d
Proof 4 · Screenshot9371d6d1e087c4f19f5b4ca2c8b64d7abaca0332c5a48aa4bd55c818d8f217a7
Proof 5 · Screenshot571290f8d7ee249c19473e8a94dfe499e3be4b48437b47e020d4d610bb40a808
Proof 6 · Screenshot2e214fc3e0662e1e63a7a61920d5acc5cc5f9a891452d19470568165e14bf1df
Proof 7 · Screenshot641c3c35d88c148de0320d3bf14d0e09a6959287cdf5cfd7ffaff8757fc19da9