Federal contract agents

Extract with confidence.
Verify with evidence.

Agents that read awards, solicitations and modifications. Every CLIN, funding line, clause and award field is boxed on its page, sent to a reviewer when it can’t be trusted, and exported Oracle‑ready.

Start extraction Open a sample contract

Boxed on the source page
Unsure values go to a person
Append-only audit trail

AWARD / CONTRACTSF 1449 · p.1

1. Contract no.W91ZZZ26C0042

2. Award date08/19/2026

17a. Contractor / offerorNorthwind Analytics LLC

31. Total award amount$1,250,000.00

9. Issued byArmy Contracting Cmd.
Mission & Installation Contracting

Extracted fieldsAgent running

Contract numberW91ZZZ26C0042p.1
Award date08/19/2026p.1
ContractorNorthwind Analytics LLCp.1
Total award$1,250,000.00p.1
Issued by2 candidatesp.1

Issued by routed to a reviewer · two plausible valuesContract specialist

How it works

A stack of PDFs in. Oracle‑ready data out.

Follow one award through the agents: typed, read field by field, every value boxed on its page, and the one value it can’t trust handed to a person instead of guessed.

Works with the systems federal teams already run

Runs on

Oracle Fusion Cloud
PostgreSQL
Docker
AWS GovCloud (US)
Azure Government
Supabase Storage
Tesseract OCR
Ollama (local models)
Google Gemini
OpenAI
Microsoft Excel

Reads

Contract awards
Purchase orders
FAR clauses
DFARS clauses
Line item schedules
Funding lines
Invoices
Regulations

Agents that read contracts the way a contract specialist does, and show their work.

Evidence, not guesswork

Every field links back to the source page — so review is verification, not archaeology.

AI that holds up in ops

Extraction, confidence, and human review are governed so outputs are ready for downstream systems.

Built for enterprise control

Audit trails, review queues, and Oracle-ready staging — designed for regulated workflows.

Extraction agent

From PDF to reviewed records, step by step.

The agent reads the form blocks, CLIN schedule and clause list with rules and page layout, scores every value, and hands you only the ones it can't stand behind.

Every value is boxed on its source page
Low-confidence and ambiguous values route to a reviewer with the reason
Repeating records stay one row each: CLINs, funding lines, clauses

Walk through the sample contract

DataoAI

Answers that cite the page they came from.

Ask in plain English across one contract or the whole repository. Answers come from extracted fields, clause references and the contract text, and each citation opens the source page with the passage highlighted.

Clause shorthand understood: “cybersecurity” finds 252.204-7012
No model writes the answer, so nothing is invented
Prompt chips for common compliance questions

Ask a question

Which DFARS cybersecurity clauses does this contract include?

Answer · cited from source pages

DFARS 252.204-7012 (Safeguarding Covered Defense Information and Cyber Incident Reporting) appears in sample-contract.pdf1. FAR 52.204-21 Basic Safeguarding is also cited2.

1sample-contract.pdf · p. 2DFARS 252.204-7012 … Cyber Incident Reporting (MAY 2024)

2sample-contract.pdf · p. 2FAR 52.204-21 Basic Safeguarding of Covered Contractor…

Obligations, playbook and rules

Know what you owe, and what's missing.

Deadlines and duties come out of schedules, clauses and text. A clause playbook and validation rules check every contract the same way, and deviations are flagged before export.

Obligations tracker with due-soon and overdue views
Required, prohibited and review-if-present clauses
Regex, threshold and cross-field validation rules

Open the obligations tracker Clause playbook Compare documents

Agent actions

One click to the report someone asked for.

Executive summary, risk register, clause gap report, obligations register and funding reconciliation, built from the reviewed staging data and downloadable as CSV or Markdown.

Every row cites its page
Built from the same values the document page shows
Runs on any processed document

Browse agent actions

Confidence, plainly

A score tells you where to look. A person makes the call.

The score doesn't claim accuracy. It summarizes how the value was found: the extraction method, whether it validates, whether it's on the cited page, and whether anything competes with it. Nothing is auto-accepted unless an administrator turns that on.

What the bands mean

Pick a band to see where the sample contract's values land.

3 of 20 sample values are low; 3 go to the review queue.

50%ISSUED BYLow confidence
50%ADMINISTERED BYLow confidence
35%UNITED STATES OF AMERICA (SIGNATURE OF CONTRACTING OFFICER)Low confidence

What sends a field to review, whatever its score

Low confidence. Score below 60%.
Validation failed. The value doesn't match its expected shape (date, amount, UEI, PIID). Capped at 59%.
Not source-grounded. The value can't be located on the cited page.
Ambiguous candidates. Two or more plausible values compete for the same field.
AI escalation. Rules couldn't resolve it, so a model did. A person confirms it.

01
Route
Each value gets a score and a band. Any routing reason sends it to the review queue with that reason attached.
02
Decide
A reviewer accepts, corrects, or rejects it with the source page beside the value. A correction never overwrites the original extraction.
03
Record
Every decision goes into an append-only log with the reviewer's ID and role, the value before and after, and when it happened.
04
Gate
Only accepted or corrected values reach the Oracle staging export. Pending values are skipped, and live sends are off by default.

What one audit entry records

Example · append-only, never edited

Timestamp	Reviewer	Field	Before → After	Reason
2026-08-20 14:32:07 UTC	reviewer-0042 · Contract Specialist	ISSUED BY	— (2 candidates) → Sample Contracting Activity	Corrected: chose the activity name over the street line, page 1

Try the loop on the sample contract

Clause playbook

Write the rule, see the deviation.

Add a clause you expect, prohibit, or want a second look at. It's checked against the clauses the sample contract actually cites, the same way every processed contract is.

52.204-21RequiredPresent: satisfied
252.204-7019RequiredMissing: deviation
52.212-4Review if presentPresent: flagged for review

Clauses cited in the sample contract

52.204-21Basic Safeguarding of Covered Contractor Information Systems NOV 2021
52.212-4Contract Terms and Conditions - Commercial Products and Commercial Services NOV 2023
52.232-33Payment by Electronic Funds Transfer - System for Award Management OCT 2018
252.204-7012Safeguarding Covered Defense Information and Cyber Incident Reporting MAY 2024
252.232-7003Electronic Submission of Payment Requests and Receiving Reports DEC 2018

Open the full playbook

Why not a generic assistant

Same document, different standard of proof.

A general OCR tool or chat assistant can read a contract. Dataomatix is built so that every value can be checked before it's used.

Question	Generic OCR / chat assistant	Dataomatix
Where a value came from	Text output, sometimes with a page number	Boxed on the source page, with page, region and method
When it isn't sure	Returns its best guess	Sends the field to a reviewer with the reason
Repeating records (CLINs, funding, clauses)	Flattened into prose or one long table	One record per row, with the source's own column headings
Corrections	Lost when you re-run the prompt	Append-only audit trail; exports use the reviewed value
FAR / DFARS coverage	Whatever the model happens to recall	Clause references matched to the FAR and checked against your playbook
Downstream systems	Copy and paste	Staging workbook, CSV/Excel and an Oracle payload preview behind RBAC

Proof & scale

Outcomes you can measure, delivered end-to-end.

Example workspace

1,284

Documents

1,197

Completed

Review required

Processing

96%

Extraction accuracy

41s

Avg processing

8.4%

Human review rate

61,870

Fields extracted

Ready for your next step?

Walk the review loop

Open the sample contract, resolve the flagged values, watch the audit trail fill in, and run the export dry run. No sign-up, nothing uploaded.

Open the sample contract

Run your own contract

Upload an award, solicitation or modification and get a staging workbook with every value tied to its page. For controlled information, self-host it in your own boundary.

Start an extraction

Extract with confidence.
Verify with evidence.

Boxed on the source page

Unsure values go to a person

Append-only audit trail

Agents that read contracts the way a contract specialist does, and show their work.

Evidence, not guesswork

Every field links back to the source page — so review is verification, not archaeology.

AI that holds up in ops

Extraction, confidence, and human review are governed so outputs are ready for downstream systems.

Built for enterprise control

Audit trails, review queues, and Oracle-ready staging — designed for regulated workflows.

Timestamp

Reviewer

Field

Before → After

Reason

2026-08-20 14:32:07 UTC

reviewer-0042 · Contract Specialist

ISSUED BY

— (2 candidates) → Sample Contracting Activity

Corrected: chose the activity name over the street line, page 1

Question

Generic OCR / chat assistant

Dataomatix

Where a value came from

Text output, sometimes with a page number

Boxed on the source page, with page, region and method

When it isn't sure

Returns its best guess

Sends the field to a reviewer with the reason

Repeating records (CLINs, funding, clauses)

Flattened into prose or one long table

One record per row, with the source's own column headings

Corrections

Lost when you re-run the prompt

Append-only audit trail; exports use the reviewed value

FAR / DFARS coverage

Whatever the model happens to recall

Clause references matched to the FAR and checked against your playbook

Downstream systems

Copy and paste

Staging workbook, CSV/Excel and an Oracle payload preview behind RBAC

Ready for your next step?

Walk the review loop

Open the sample contract, resolve the flagged values, watch the audit trail fill in, and run the export dry run. No sign-up, nothing uploaded.

Open the sample contract

Run your own contract

Upload an award, solicitation or modification and get a staging workbook with every value tied to its page. For controlled information, self-host it in your own boundary.

Start an extraction

Extract with confidence.Verify with evidence.

A stack of PDFs in. Oracle‑ready data out.

Agents that read contracts the way a contract specialist does, and show their work.

Evidence, not guesswork

AI that holds up in ops

Built for enterprise control

From PDF to reviewed records, step by step.

Answers that cite the page they came from.

Know what you owe, and what's missing.

One click to the report someone asked for.

A score tells you where to look. A person makes the call.

What the bands mean

What sends a field to review, whatever its score

Route

Decide

Record

Gate

Write the rule, see the deviation.

Same document, different standard of proof.

Outcomes you can measure, delivered end-to-end.

Ready for your next step?

Walk the review loop

Run your own contract

Extract with confidence.Verify with evidence.

A stack of PDFs in. Oracle‑ready data out.

Agents that read contracts the way a contract specialist does, and show their work.

Evidence, not guesswork

AI that holds up in ops

Built for enterprise control

From PDF to reviewed records, step by step.

Answers that cite the page they came from.

Know what you owe, and what's missing.

One click to the report someone asked for.

A score tells you where to look. A person makes the call.

What the bands mean

What sends a field to review, whatever its score

Route

Decide

Record

Gate

Write the rule, see the deviation.

Same document, different standard of proof.

Outcomes you can measure, delivered end-to-end.

Ready for your next step?

Walk the review loop

Run your own contract

Extract with confidence.
Verify with evidence.

Extract with confidence.
Verify with evidence.