Mind PointEye

Enterprises and public-sector operators (airports, transport, campuses, security) deploying edge-AI computer vision, robotics or...

Registered address
2 Venture Drive, Vision Exchange #18-06/07/08, Singapore 608526
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Overview of Mind PointEye

Specialization
AI Solutions

Mind PointEye is an international AI company that provides innovative AI solutions and smart services. The company specializes in edge and cloud intelligence, utilizing proprietary computer-vision technology for facial recognition, behavior and anomaly detection, and industrial defect inspection. Mind PointEye develops AI robots for guidance, delivery, security/patrol, and education, as well as AI patrol cars and smart access-control systems. Its solutions extend to smart city and industrial applications, including smart security, smart traffic, smart public parks, and smart campuses. The company aims to make clients smarter and better through its AI technology.

  • Recorded Singapore presence: Singapore-registered entity (UEN), Physical Singapore office, ACRA-matched registered name
  • Address: 2 Venture Drive, Vision Exchange #18-06/07/08, Singapore 608526
  • Website: https://mindpointeye.com
  • Best for: Enterprises and public-sector operators (airports, transport, campuses, security) deploying edge-AI computer vision, robotics or video-analytics solutions.

Profile updated 10 Jul 2026 Report incorrect data

Buyer Decision Checklist

Automation is high-ROI in Singapore, but the gap between a tool that saves labour hours and one that needs a full-time minder shows up in year two, not the demo. Pin down grants, maintenance, and exception handling before you sign.

How to evaluate an AI / RPA process-automation provider in Singapore

  • Insist on a paid, fixed-fee pilot on one high-value process (typically 4-8 weeks) with an agreed ROI baseline before committing to any wider rollout.
  • Check PSG grant eligibility on the IMDA Tech Depot pre-approved list before buying — eligible SMEs can get up to 50% co-funding, but only on listed tools bought through the scheme.
  • Separate brittle RPA (UI-replay bots that break when an app updates) from intelligent automation (OCR, ML, decision logic), and ask for the vendor's average bot-uptime and breakage-frequency data.
  • Budget ongoing maintenance explicitly — roughly 30% of build cost per year for non-trivial RPA — and treat a 'free for 12 months' offer as a year-2 lowball to interrogate.
  • Map where bots touch PDPA-regulated data and require Singapore data residency, on-prem deployment, or contractual cross-border transfer safeguards rather than a default US/EU SaaS region.
  • Define exception handling and human-in-the-loop points up front: who reviews edge cases, what happens when a bot hits an unmapped scenario, and how errors are logged and escalated.

Verify for Mind PointEye

  • Confirm key details directly with the vendor — this listing isn't vendor-managed yet.
  • Ask for two recent Singapore client references you can speak with.
  • Ask for a written scope of services before comparing quotes.
  • Request evidence of relevant certifications and their current validity.

Questions to ask

  • When the underlying apps or APIs change, who detects the breakage, who fixes it, and what is the typical turnaround and cost?
  • How is licensing priced — per bot, per run, per seat — and what does the all-in year-2 cost look like once maintenance is included?
  • What is your honest assessment of which of our processes should NOT be automated, and why?
  • Can you share two Singapore clients of similar size and sector that we can speak to about delivery and ongoing support?

Prepared under the TechDirectory editorial byline with review credit June C; this label is not proof of identity, credentials, or a completed human review. This directory-authored checklist is not attributed to Mind PointEye; editorial independence has not been independently audited. Editorial standards

23/100

Profile signal score

Based on recorded profile signals. It is not a certification or independent verification of every claim, and it does not measure vendor quality or endorsement; paid plans do not affect it. How it works.

  • UEN recorded on profile UEN recorded 20/20
  • Owner-claimed profile No owner claim recorded 0/10
  • Recorded grant eligibility None recorded 0/15
  • Recorded CSA trustmark None / expired 0/15
  • Listed certifications None listed 0/10
  • Approved reviews No approved reviews yet 0/20
  • Profile completeness 3/10 completeness 3/10