NeuroDefect Detection
Find scratches, chips, contamination, missing parts, and cosmetic flaws with real-time confidence scoring.
Learn more →
// Computer vision inspection
Edge or cloud
Audit-ready
Vision systems
that catch
defects first.
Real-time detection, OCR, counting, and anomaly monitoring for pharma, food, and manufacturing. Deploy on embedded edge devices, on-prem servers, or the cloud without operational chaos.
0%
fewer false rejects with tuned thresholds
0%
traceability via exportable reports
0ms
typical edge inference latency
cap ✓ 0.97
fill ✓ 0.99
⚠ crack 0.83
label ✓ 0.98
Defect rate
0.12%
OCR match
99.7%
Throughput
310/min
Last 8 batches — defects flagged
Deployed in
Pharma
Food & Beverage
Packaging Lines
Electronics
Manufacturing
// 01 — Solutions
Modular
Capabilities
Modular building blocks you can deploy fast and harden for production.
OCR & Label Checks
Verify batch codes, dates, GS1 text, alignment, and readability. Catch swaps and misprints early.
Learn more →Counting & Sorting
Count items on conveyors, check pack completeness, and drive reject gates with deterministic logic.
Learn more →Anomaly Detection
Spot unknown issues without exhaustive labeling. Useful for early warnings and production drift monitoring.
Learn more →Traceability
Line-level logs, model versions, decisions, and evidence snapshots — built for audits and investigations.
Learn more →Audit-Ready Reporting
Generate PDF/CSV reports, KPIs, and exception logs. Connect to dashboards or export to QA workflows.
Learn more →// 02 — Process
How It Works
A pragmatic workflow built for production constraints and QA needs.
-
1
Capture
Connect cameras and sensors. Define the inspection area, timing, and trigger signals for your line.
-
2
Detect
Run models and rules. Tune thresholds, handle edge cases, and continuously measure false reject rates.
-
3
Act
Send alerts, drive reject gates, and log evidence. Export audit-ready reports for QA and investigations.
// 03 — Industries
Real Factories,
Real Deployments
Built for regulated environments and production realities, not just demos.
GxP-friendly workflows
Pharma
- Vial inspection: particles, cracks, fill level, stopper presence
- Label verification: batch, expiry, alignment, barcode/Datamatrix
- Packaging checks: inserts, caps, seals, tamper evidence
High throughput
Food & Beverage
- Fill level, cap closure, and seal integrity checks
- Foreign object detection and surface defect scoring
- Case/pack completeness and SKU mismatch prevention
Line integration
Manufacturing
- Presence/absence, assembly validation, and torque mark checks
- Cosmetic inspection: scratches, dents, paint, finishing quality
- Counting, orientation, and dimensional sanity checks
// 04 — Platform
Platform
Highlights
Production-grade tooling around the model: deployment, monitoring, evidence, and governance.
Edge-ready
Run on GPUs, CPUs, and embedded devices. Keep latency low and data local when needed. Air-gapped deployments supported for regulated environments.
- Model versioning and rollback
- Drift detection and alerting
- Role-based access control
- Evidence snapshot storage
- REST + industrial I/O output
- Structured audit logging
- Signed artifact updates
- Multi-camera orchestration
<50ms
Edge latency
99.9%
Uptime SLA
2–4 wk
Pilot timeline
Air-gap
Offline capable
// 05 — Pricing
Simple Tiers,
Clear Scope
Enterprise options available for regulated, multi-site production lines.
Starter
€490/mo
Best for pilots and single-line trials.
- 1 camera pipeline
- 1 model type (detection or OCR)
- Basic dashboards + CSV export
- Email support (48h)
- Monthly model refresh
Most chosen
Pro
€1,490/mo
For production lines that need stability and traceability.
- Up to 4 camera pipelines
- Multiple model types (defects + OCR + counting)
- Evidence snapshots + audit log
- Role-based access
- Priority support (24h)
Enterprise
Custom
For regulated scale, multi-site deployments, and integrations.
- Unlimited pipelines and sites
- On-prem + air-gapped support
- SSO and advanced governance
- SLA and on-call options
- Integration support (MES/SCADA)
Need a fast proof-of-concept? NeuroBeer delivers scoped pilots with clear acceptance metrics and report templates.
// 06 — Results
Teams Choose
NeuroBeer
Less waste, fewer escapes, and cleaner investigations when issues happen.
★★★★★
"We cut manual rechecks while improving traceability. Evidence snapshots made our investigations faster and calmer."
AK
Anya Kovalchuk
QA Lead, sterile packaging
★★★★★
"The edge deployment was painless. Latency stayed low, and threshold tuning reduced false rejects within a week."
DM
Declan Murphy
Manufacturing Engineer, bottling line
★★★★★
"OCR mismatch alarms prevented costly label mix-ups. Exportable reports fit our QA workflow without extra tools."
SR
Sofia Rossi
Operations Manager, food production
// 07 — Resources
Example Outputs
What you can expect from a production inspection system.
Example Report Structure
A QA-friendly summary: throughput, defect categories, thresholds, evidence snapshots, exceptions, and model version history.
- Shift summary KPIs
- Top defect breakdown
- Exceptions and evidence log
Pilot Checklist
A practical pilot plan: camera placement, lighting stabilization, acceptance metrics, and how to measure false rejects.
- Capture conditions
- Labeling and QA review
- Go-live criteria
Integration Notes
How to connect outputs to reject gates, PLCs, dashboards, and audit storage without turning the line into a science fair.
- Signals and triggers
- Evidence storage
- Security boundaries
// 08 — FAQ
Common Questions
Clear answers to what production and QA teams ask first.
Typically 2 to 4 weeks from camera access to a measurable pilot outcome. Speed depends on lighting stability, product variety, and how quickly we can validate acceptance metrics with QA.
Not always. Many OCR and simpler defect tasks run well on modern CPUs. For high throughput or larger models, GPUs improve latency and capacity. We select hardware based on your line speed and camera count.
Yes. The edge runtime can operate without internet access. Updates and model promotions are handled using controlled artifacts and signed packages if required.
We track KPI shifts, confidence distributions, and exception rates. When drift is detected, we sample evidence, validate with QA, and schedule a controlled refresh with versioned rollout and rollback.
You choose the policy: store only metrics, store cropped evidence, or store full frames. For regulated use, we typically store evidence snapshots with strict retention, access controls, and audit logs.
We support digital I/O, industrial protocols through gateways, and REST/MQ for downstream systems. The goal is deterministic behavior with clear failure modes.
// 09 — Company
About
NeuroBeer
NeuroBeer delivers production-ready computer vision systems with pragmatic engineering: stable deployments, measurable outcomes, and clean handover to your teams.
What you get
- Defined acceptance metrics
- Documented configuration
- Audit-friendly evidence
- Operational playbook
Deployment modes
- Edge device near the line
- On-prem server
- Cloud analytics + dashboards
- Air-gapped controlled updates
// Contact
Get in touch
Tell us your line speed, camera count, and what "good" looks like.
No pressure. A 30-minute call is enough to confirm fit, scope a pilot, and agree on what success looks like.
// Phone — enter PIN to reveal
Enter the 4-digit code to reveal the number.
+353 ••• •••••••