Pricing

Priced per camera. Paid back in rejects.

From $200 per camera per month, or per line with batch investigation and QMS integration. No recipe engineer, no capital approval cycle.

Per camera

$200
per camera / month

Up to $800 depending on resolution, frame rate and station count.

  • Few-shot teaching, unlimited products
  • Zero-shot deviation detection and maps
  • Inspection records with audit trail
  • Reject signal to the machine over OPC-UA
  • Edge appliance included during pilot

Per line

Most pilots
Custom
per line / month

All stations on a line, batch investigation and system integration.

  • Everything in Per camera
  • Batch and component-lot correlation
  • Draft deviations to QMS, results to MES and LIMS
  • Validation package per model version
  • Named validation engineer during pilot

Site & enterprise

Let's talk
multi-line, multi-site

Air-gapped deployment, CSV support and SLAs.

  • Everything in Per line
  • Air-gapped and segregated networks
  • Computer system validation support
  • Cross-site deviation intelligence
  • Uptime and response SLAs

Pilot pricing and volume discounts available. Camera pricing scales with resolution and throughput; we'll quote after a 30-minute line review.

Pilot

How a pilot runs.

We don't ask you to model a five-year ROI. We ask for one station, one product and a few weeks in shadow mode.

  1. Week 0
    Line review
    A 30-minute call to choose the product, the station and the deviation that costs you most in rejects or investigations.
  2. Week 1
    Teach and run in parallel
    The edge appliance is installed on the existing station cameras and a few dozen conforming units are captured. Phamqyra inspects in shadow mode the same week.
  3. Weeks 2–4
    Compare and qualify
    Results are compared unit by unit with your current inspection and defect kits. You see the escapes it catches and the false rejects it avoids.
  4. Week 4+
    Release and extend
    With qualification evidence in hand, QA decides whether to release the model to production and which station comes next.

03 / Comparison

Manual inspection tires. Rule-based AVI ossifies.

Phamqyra learns each product's normal and keeps learning under change control.

CriterionManual visual inspectionRule-based AVIPhamqyra
Set-up for a new product
Qualify inspectors with defect kits
A recipe engineer per presentation
A few dozen conforming units
Deviation types nobody defined
Sometimes — attention dependent
Only what the recipe encodes
Zero-shot deviation detection
Consistency across a shift
Fatigue limits booth sessions
Consistent, until the product changes
Same model, every unit, every shift
False rejects of good product
Conservative by necessity
Tight thresholds reject variation
Learns conforming variation
Root cause for investigations
Inspector notes, after the fact
Pass/reject counts only
Correlated to batch and component lot
Records for batch release
Paper forms and signatures
Machine logs, limited context
Signed e-records with frame hashes

07 / Questions

What QA asks first.

Validation, data integrity and how it fits the line you already run.

  • Yes — if the model is treated like any other configured system. Each Phamqyra model is locked at release, versioned with the units it learned from, and shipped with protocol templates (IQ/OQ/PQ), a risk assessment and a traceability matrix. A released model does not change in production; improvements arrive as new versions through your change control.

Start a pilot

One station, one product, a few dozen good units.

Pilots run alongside your current inspection, so you see what Phamqyra catches — and what it stops rejecting — before anything changes in your batch record.