MAATIQ AGENT WORKBENCH

AI proposes. You decide.

A review workbench for FDA compliance consultants: AI lays out every finding with its CFR basis and source evidence, and you adjudicate each one from the keyboard. Ten times the review throughput, and the signature is still yours.

Create a free account Book a 15-minute demo

Includes a demo review. Try it in 5 minutes.

Every finding traces back to its source

Click a finding and the left pane highlights the exact label text it cites, while the right pane shows the CFR citation and the AI confidence score. Defensibility is not a slogan: every single finding carries an evidence chain.

LABEL SOURCE

Citrus Vitamin C Gummies

INGREDIENTS: Glucose syrup, sugar, pectin, sodium citrate, natural orange flavor, ascorbic acid.

Supports healthy immune function and prevents colds.

Distributed by Sunrise Wellness Foods, Taoyuan City.

FINDINGS

MAJORAllergen statement placement

BLOCKINGUnauthorized health claim

Disease-prevention claim on a conventional food label without FDA authorization.

MINORNet quantity type size

REGULATORY BASIS

21 CFR 101.14(a)(1)

Health claims characterizing the relationship of a substance to a disease require FDA authorization before use on food labels.

AI CONFIDENCE

0.94

Keyboard throughput, not mouse-clicked cards

J/K to move, A to accept, R to reject, M to modify, N to add a missed finding. A few keystrokes clear a finding, and clearing a whole submission takes minutes.

The report you deliver is yours

Co-branded PDF: your firm's name, your signature, and only the items you have adjudicated. Unreviewed AI proposals never appear in front of your client.

DEVICE 510(k)

The medical device line is live

The same consultant adjudication workbench now supports pre-submission review for FDA 510(k) medical devices.

Create a free account

RTA acceptance screening

Automatic checks across 43 510(k) RTA / eSTAR technical screening items to catch administrative and format gaps before hold.

Pre-Sub question quality review

Checks whether Q-Submission questions are specific and answerable by FDA, with gaps around predicate strategy, clinical evidence, and cybersecurity files.

$0.10 / 80 seconds per case

Cost and speed calibrated from a measured device run: about $0.10 and about 80 seconds for the initial findings.

How it works

1
Upload label photos and OCR fills the form automatically
2
Multi-layer AI review produces findings, each with severity, CFR citation, and source evidence
3
You adjudicate line by line and generate a report under your name in one click

The three things consultants care about most

Your client data belongs to you alone

Organization-level isolation and a full audit trail (who, when, what changed; exportable).

AI does not sign. You sign.

By design, no finding enters any report without your adjudication.

What was reviewed, and on what basis

Every report includes a methodology note and a consolidated index of CFR citations.

Pricing

Try the full workbench free for 30 days, then pick your plan.

Trial

The full workbench on real cases, no payment details needed.

Freefor 30 days

All modules: food, cosmetics, 510(k), Pre-Sub
10 reviews included
1 GRAS/NDI report included
No credit card required

Start 30 days free

Recommended

Pro

For consultants running client reviews every week.

$299per seat / month

25 reviews per seat, per month
Food, cosmetics, 510(k) and Pre-Sub modules
GRAS/NDI reports at $199 each
Co-branded PDF reports under your name
Email support

Enterprise

From 5 seats on an annual agreement.

$999+per month

Review volume sized to your team
White-label reports
API access
Priority support

Book a demo

Prices in USD. For comparison: a hand-done label review typically bills at $250 or more.

Frequently asked questions

Will the AI mislead my judgment?: The AI only proposes. Every suggestion comes with a confidence score and source evidence, and you can reject it with one key. Your rejection history also tunes the system to your review standards over time.
Which regulatory scopes are supported?: FDA food labeling, cosmetics MoCRA, and GRAS/NDI notifications. More regulation modules are planned.
Will client data be used for training?: Adjudication statistics are used only in de-identified form to improve review accuracy, and never include client names or product identifiers.