Computer Vision · AI Training · Singapore

Camera-based defect detection that keeps improving with your data.

Reasonix Labs helps Singapore manufacturers, logistics operators and F&B businesses automate visual inspection and monitoring — with AI vision systems built to keep improving over time, not go stale after deployment.

Fixed-scope pilots, not open-ended consulting
Pilot + monthly improvement plan
Training in English & Mandarin (中英文)

Practical computer vision for real operations

No research projects, no jargon. Reasonix Labs deploys cameras and AI models against the problems that cost you money every day.

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Visual Defect Detection

Catch visual defects on your production line before they reach the customer — AI trained on your own products and your own data, not generic models.

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Safety & PPE Compliance Monitoring

Monitor PPE and safety compliance automatically — continuous camera-based coverage of your site instead of occasional manual spot checks.

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People Counting & Queue Analytics

Understand footfall, queue lengths and peak-hour patterns in retail and F&B outlets — so you staff right, cut waiting times and stop guessing.

A model that gets better every month — by design

Most AI vision projects work on day one and quietly decay over time. Every Reasonix Labs system is built around a continuous-learning loop.

1

Deploy

A working model goes live on your line or site.

2

Flag edge cases

The system auto-detects images it is unsure about.

3

Monthly expert review

Reasonix Labs reviews the flagged cases, labels them, and adds them to your training data.

4

Retrain & redeploy

An improved model ships back to you — and the loop repeats.

Every engagement is structured as a fixed-scope pilot plus an optional monthly improvement plan: flagged cases reviewed and labelled, the model retrained and redeployed, and a short report of what improved — every month, so your system gets better over time instead of becoming shelfware.

Three ways to work together

Start small, then go as deep as your business needs — from a one-day workshop to a fully capable in-house AI team.

Step 2 · Deploy

Fixed-Scope Pilot Projects

A working defect-detection, safety or analytics system on one well-defined use case — fixed scope, fixed price, measurable results.

  • Clear scope and acceptance criteria up front
  • Sized so an SME owner can approve it easily
  • Optional monthly improvement retainer
Step 3 · Own It

Build Your AI Team

Reasonix Labs helps you hire, train and equip your own in-house computer vision capability — so the expertise stays with you.

  • Job descriptions, screening & interview support
  • Structured upskilling on your own use cases
  • Training pipeline setup and ongoing coaching

Practitioner-led, not slide decks

Hands-on, end to end

Deep practical computer vision skills — segmentation and YOLO, from data selection through training configuration. Not just advising; doing.

Proven at teaching teams

Reasonix Labs' founder trained an AI team from scratch to deliver computer vision models — and built internal tooling that made the training pipeline faster for non-experts.

Sized for SMEs

Fixed-scope engagements an SME owner can approve — not enterprise consulting contracts with open-ended billing.

Singapore-based, on-site ready

Local delivery across Singapore — your shop floor, your site, your data, handled close to home.

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中英文服务 · Bilingual delivery. Workshops, documentation and consultations available in both English and Mandarin — a rarity in hands-on AI training, and a natural fit for traditional SME teams.

Numbers from real production work

Results delivered by Reasonix Labs' founder in prior production and R&D roles — using the same methods every engagement is built on.

99% faster

Error review

A key error-review step cut from ~1 week to ~2 hours — at over 99% accuracy — with an in-house review app.

2 days → 2 hrs

Segmentation turnaround

Image-segmentation training and annotation time, after rebuilding the workflow and its tooling.

1 day → 1 hr

YOLO data preparation

Data preparation for object-detection training, automated so non-specialists can run it.

+30% mAP

Detection accuracy

Object-detection mAP improved by 30%, and OCR accuracy lifted from 35% to 78%, in an applied R&D role.

0 → production

AI teams built

An AI team hired and trained from non-experts to production-capable, across Singapore and Malaysia.

Tell Reasonix Labs what's costing you money — and find out if cameras can fix it.

Start with a free, no-obligation conversation — or contact us to have a free 45-minute online session for your team on what computer vision can automate on your shop floor.