AI Consulting
Advising on embedding AI into existing systems, and building an AI strategy aligned to business goals rather than to technology trends.
Understand the problem.
Connect the technology.
Create real value.
From artificial intelligence to smart operations. CTC Smart Tech connects data, processes and people to solve the practical problems of a business.
CTC SMART TECH / AI TRANSFORMATION / VIETNAMTechnology starts
with the right question.
What does the business need to understand, what should it improve — and how is value measured?
CTC Smart Tech combines AI-transformation consulting with data and automation. Every solution is organised from the business problem, through a verified trial, to a fitting adoption roadmap.
Explore the AI Transformation Studio
AI capability
End to end — from strategy to models running in production
Most AI projects fail not at model building but at putting the model into operation and keeping it stable. Our capability covers all five stages.
AI Development
Building machine learning models for image recognition, natural language processing and prediction; developing AI-powered applications around each client’s needs.
AI Maintenance
Upgrading features as the market shifts, resolving model performance issues, and improving solutions to meet new requirements.
Migration & Integration
Moving legacy systems onto modern, AI-enabled platforms; standardising and migrating data ready for advanced analytics.
AI Management
Real-time performance monitoring, risk management and incident handling, plus backup and governance of training data.
Engineering certifications
Google
TensorFlow Developer Certificate
Microsoft
Certified Azure AI Engineer Associate
AWS
Certified Machine Learning — Specialty
NVIDIA
Deep Learning Institute
IBM
AI Engineering Professional Certificate
ISO
9001 & 27001 Certified
The certifications above are held by engineers in our team. All names and marks belong to their respective certifying organisations.
Technology stack
Technologies genuinely in use across delivered systems — not a display list.
ML & Deep Learning
- TensorFlow
- PyTorch
- Keras
- Scikit-learn
- XGBoost
- Hugging Face
- Transformers
Computer Vision
- OpenCV
- YOLO
- ResNet
- EfficientNet
- MediaPipe
- PaddleOCR
- Semantic Segmentation
Data & Streaming
- Apache Kafka
- Spark Streaming
- PostgreSQL
- AWS IoT Core
- GIS
MLOps
- MLflow
- Kubeflow
- AWS SageMaker
- TensorFlow Serving
- Docker
- Kubernetes
Infrastructure & Security
- AWS
- Azure
- Google Cloud
- JWT / OAuth2
- AES / RSA
- ELK Stack
- Prometheus
Four solution directions.
One value platform.
Trustworthy data.
Controlled processes. People decide.
From AI systems
to industry problems.
09
Systems in the profile
Identity, monitoring, environment, energy and travel.
04
Solution groups
AI Automation, IoT, Performance Review and Travel.
05
Presentation decks
Master profile plus four solution decks.
01
Approach
Discover → trial → measure → scale.
eKYC
CPSmart
FaceID
EAir
ESignal
IGarbage
IElectricity
Smart Travel
AIAgricultureeKYCCPSmartFaceIDEAirESignalIGarbageIElectricitySmart TravelAIAgricultureeKYCCPSmartFaceIDEAirESignalIGarbageIElectricitySmart TravelAIAgricultureeKYCCPSmartFaceIDEAirESignalIGarbageIElectricitySmart TravelAIAgricultureThe portfolio separates capability profiles, demos and proposals; the number of profiles is not the number of accepted projects.
Start focused.
Scale on results.
01
Understand the problem
Survey the current state, identify users and the priority bottleneck.
02
Design the pilot
Fix data, scope, responsibilities and acceptance criteria.
03
Verify in practice
Run in parallel, measure the baseline and analyse exceptions.
04
Hand over & scale
Train, document, operate and improve on the numbers.