Operational compliance, without the blind spots

Your standards.
Verified by Steve.

Turn photos, audio, and text into structured data your systems can use. Verify it against your standards. Steve gives you the fields, the evidence, and the verdict.

Unstructured sources. Structured data. Clear verdicts.

01 The evidence
purchase-evidence.jpg···
THE DAILY MARKETYOUR NEIGHBOURHOOD STORE
Sparkling water × 24.00
Oat drink × 13.50
Granola × 15.00
TOTAL EUR12.50
04 SEPT 2026 · 14:32
Photo evidence
02 Your standardSteve

CHECK AGAINST YOUR RULES

Only genuine, eligible purchases qualify.

03 A clear verdict
Purchase verification

Purchase verified

  • Eligible products found
  • Purchase date in range
  • No duplicate detected
Fraud stopped before the payout.
Structured dataReady for your systems · Example JSON
{
  "merchant": "The Daily Market",
  "total": 12.5,
  "currency": "EUR"
}

Use extraction on its own, or alongside verification.

Extract the data. Verify the evidence. Put both to work. Pay per verified unit

One product. Different sources.

Different evidence.
The same question.

What does the evidence tell you? Steve extracts the information you need and checks whether your operations meet your standards.

Live image workflows

IMAGE · FRAUD & EXECUTION

What happened. In the frame.

Extract products, dates, and totals from receipts and field photos. Check the evidence against your rules.

For brands, loyalty operators & operations teams

Explore photo verification
Live audio workflows

AUDIO · DISCLOSURES & SCRIPTS

What was said. What was missed.

Turn conversations into structured fields. Verify required phrases, disclosures, and whether an upsell was offered.

For teams responsible for call standards

Explore audio verification
Live text extraction

TEXT · HUMAN & BOT QUALITY

Your standards. In every reply.

Extract requests, key details, and next steps from messages. Verification against your service standards is on the roadmap.

For teams running human & bot support

Explore text extraction
THE BROADER VISION

Image, audio, text — and eventually video. Different sources, checked against your rules, with structured data your systems can use.

Shape what’s next

Less fraud.

Fake evidence, duplicated submissions, rewards that should never be paid.

Less legal risk.

A skipped disclosure or a missed step in the standard you are accountable for.

Less lost revenue.

The offer never made. The execution never checked. Small misses that add up.

Extraction & verification

Unstructured in.
Ready to use out.

Photos, audio, and text hold information your systems need. Steve turns it into structured fields and passes them through the API. Use extraction on its own, or add verification against your standards.

Let’s start with your use case
01

Define your output

Tell us which fields you need. Add your standards when you also want a verification verdict.

02

We set up the workflow

Extraction, verification, or both. We configure the workflow around your use case.

03

Send your submissions

Connect through the API or Open Loyalty. Unreadable images stop at the quality gate.

04

Put the results to work

Pass structured data into your systems. Use verification verdicts to approve or investigate.

Fits into the way you work.API+Open Loyalty

Verification pricing

Pay for proof.
Per verified unit.

You’re buying resolved verifications for your use case. A clear outcome, with a clear line on your statement.

  • Clear reporting on submitted and billed volumes
  • Priced for your carrier and use case
  • Quality-gate rejections are never billed
Find your fit

Tell us your use case. We’ll work out the volume.

Steve
MONTHLY STATEMENT

Your verification,
accounted for.

September 2026
Submissions received2,400
Rejected at quality gateUnreadable images. No charge.−180
Verified units billedOnly the submissions we could verify.
2,220
46Potential fraud caught
128Non-compliant flagged

A little more clarity

Good questions.
Straight answers.

Have something else in mind?

Talk to the team
How is Steve different from OCR?

OCR reads characters from an image. Steve turns unstructured photos, audio, and text into structured fields your systems can use. It can also check the evidence against your standards and return a verification verdict.

Can we use Steve just for extraction?

Yes. Use Steve as an extraction engine to turn unstructured text, photos, or audio into structured data and pass it to your systems through the API. Define the fields you need. Verification can be added when your use case also needs a decision against your rules.

Does our team need to build a workflow?

No. Bring the fields you need and any rules you want to verify. We build the workflow with you. Your team receives structured results through the API, or uses the Open Loyalty integration for loyalty workflows.

What exactly do we pay for?

You pay for verified submissions for your use case. Images rejected at the quality gate because they are blurry, dark, or unreadable are not billed. Your statement shows submitted and billed volumes side by side.

Can we use Steve with our existing tools?

Yes. Submit evidence and consume structured results through the API, or connect a loyalty program with the Open Loyalty integration.

Which types of submissions can Steve check?

Steve extracts structured data from photos, audio, and text. Image and audio verification are also live, including receipt and retail execution checks and call script compliance. Packing compliance is in pilot. Text verification is on the roadmap, and video is a future direction. The examples above use illustrative data.

Clarity on every operation.

Stop sampling.
Start proving.

Bring a source. Tell us the fields you need.
Let’s extract the data and verify what matters.

Book a demo 30 minutes. Your use case. Real possibilities.