Human-in-the-Loop Validation
Every AI label reviewed by trained human taggers before it becomes training data. No synthetic shortcuts.
00The AI trust problem — solved.
AI that a human has already checked.
We annotate, validate, and build AI for Asian markets — with 30,000 taggers signing off on every label. Not crowdsourced noise. Human-validated AI your operations can trust.
Trusted across Asia
Teams that can't afford to guess on data
01What we do
One partner. Human oversight at every layer.
Custom AI for Asian Operations
Computer vision and ML built for Asian context, languages, and operating environments — deployed in weeks.
Data Collection & Annotation
End-to-end data pipelines: capture, label, QA. From raw sensor input to model-ready datasets.
02Why human-in-the-loop
Synthetic labels break in the real world. Human oversight doesn't.
AI labeling tools are fast. They're also wrong in the ways that matter — subtle edge cases, cultural context, ambiguous scenes. Those errors compound into production failures.
Our 30,000 taggers aren't a fallback. They're the system. Every label goes through human review before it becomes training data. That's why our TrueTag score is 99% — and why our models hold up in the field.
01
AI labels at scale
Computer vision pre-labels your dataset fast. Every frame, every object, at volume.
02
Human validation layer
Trained taggers review every AI label. Edge cases, cultural context, ambiguous scenes — nothing slips through.
03
TrueTag score & production sign-off
Labels that pass our TrueTag threshold go to training. The rest go back for re-review.
03By the numbers
The numbers behind a model you can stake your operations on.
0
AI errors reach production
99%
TrueTag accuracy
30K+
Taggers across Asia
50M+
Data tasks delivered
6+
Years delivering for Asia
04For your industry
AI built for your operating environment.
Retail
Footfall, heat maps, conversion signals from in-store CCTV.
ExploreMining
Equipment detection, safety monitoring, site ops visibility.
ExploreSmart Cities
Traffic, crowd, and public-safety CV for municipal operators.
ExploreManufacturing
Defect detection, assembly-line QA, predictive maintenance.
ExploreTransportation
Autonomous-vehicle training data + fleet visibility.
ExploreConstruction
Site progress, PPE compliance, equipment utilization.
Explore05Why Tictag
Production AI, built for Asia.
Human-in-the-loop at scale
Every label reviewed by a human before it becomes training data. 30,000 taggers isn't a marketing number — it's the quality gate your model depends on.
Asian-market expertise
Local language, local context, local compliance (PDPA/IMDA). Not a Silicon Valley API with a regional wrapper.
Production-ready, not prototypes
We ship systems that run 24/7 in your environment — human-validated from day one. Weeks to deployment, not quarters.
Cost that scales with you
Asia-market pricing with no hidden integration fees. Start with a pilot, scale to 50 sites. The unit economics improve as you grow.
06Data for Good
Built with 30,000 taggers across Asia.
Our tagger community is the engine behind 99% TrueTag accuracy — and a pathway to digital income for low-income seniors, persons with disabilities, and persons with autism across the region.
07From the blog
Field notes from production AI
Lessons from Amazon Web Services (AWS): When Automation Fails & The Need for Human-in-the-Loop
The AWS incident was partly caused by "faulty automation" (GeekWire). This proves even the best AI systems need human oversight. Here's what retailers can learn, and how Human-in-the-Loop (HITL) or human data verification helps prevent silent losses.
Read post
Mining's $64 Billion Blind Spot: How AI Turns Data into Profit
Mining companies lose $64 billion due to operational blind spots. Discover how AI improves productivity, optimises haulage, and turns mining data into profit.
Read post
Your CCTV Isn't Just for Security, It's Your Most Valuable Mining Asset
Mining CCTV isn't just for security. Learn how AI-powered video analytics transforms cameras into operational intelligence tools, improving safety, productivity, and decision-making in mining operations.
Read post
08Proof in production
Customer stories
80% defect-level recall, 66% frame-level recall; faster automated inspection with full traceability
Global drill bit manufacturer (anonymized)Manufacturing
AI-Powered Drill Bit Inspection for Precision Manufacturing
A global precision tool manufacturer replaced labour-intensive manual inspection with Tictag's AI video-defect pipeline — combining precision imaging hardware, dual-track models, and human-in-the-loop validation to catch micro-defects at scale.
Read case study
3,000 paragraphs annotated across core, keyword, location and sentiment tags — production-ready training data for semantic search
Knowledge management startup (anonymized)AI / SaaS
Personalised Tag Recommendation for Financial & Education News Search
A knowledge-management startup partnered with Tictag under the Data Voucher program to build a curated sentence-to-tag dataset spanning Singapore financial and education news, unlocking semantic search and personalised tag recommendation.
Read case study
Conversion projected 1.85% → ~5%; ATV +10–25%; dwell time in cold zones +20–50%
Sportswear retailer (anonymized)Retail
Maximising Flagship Store Performance During a High-Traffic Event
A sportswear flagship deployed Tictag Insight to fix peak-hour understaffing, lift underperforming zones, and counter competitor promotions — turning high-traffic events into measurable sales uplift.
Read case study
What our customers say
We have been engaging with Tictag for around two years on their AI driven automatic traffic counting from videos and have found the team to be very communicative, flexible and able to adapt to our requirements. I would certainly recommend Tictag to anyone that is looking to make use of their high tech solutions and services.
Chris Ayles
Vice President Consulting, Systra Asia
Frequently asked questions
09Ready when you are
AI your operations can trust. Because humans made sure of it.
Human-validated to 99% TrueTag accuracy. Deployed in weeks. Built for the operating environments that matter.