CTC Smart Tech

We put AI exactly where the manual load is heaviest

We put AI where the manual load is heaviest: document processing, back-office operations, the data flow between office and shop floor — and only then production monitoring and optimisation. Each step has a narrow scope and measurable criteria.

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AI systems taken into live operation
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ISO 9001 and ISO 27001 certifications
About us

Two capability tracks, one team accountable end to end

CTC Smart Tech delivers end to end: site survey, data integration, AI model development and post-handover operation. The client works with a single point of contact across the whole project lifecycle.

Field Delivery & Integration

Industrial IoT · Data integration · Operations

Building industrial IoT ecosystems and process automation for factories and logistics: field sensors, data acquisition, a central platform and operational applications — integrating with existing systems without requiring infrastructure replacement.

  • Document assistant for import-export paperwork and back-office operations
  • Data connectivity between office and production functions
  • Equipment, energy and line performance monitoring
  • Phased deployment without halting production

AI Models & Data

Computer vision · Forecasting · Software engineering

An AI engineering team with over a decade of taking models into genuine production rather than stopping at prototypes. Process and information security certified to ISO 9001 and ISO 27001.

  • Computer vision running in production across multiple platforms
  • Large-scale document data extraction and optical character recognition
  • Anomaly detection on real-time sensor data
  • Time-series forecasting and geospatial analysis
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.

01

AI Consulting

Advising on embedding AI into existing systems, and building an AI strategy aligned to business goals rather than to technology trends.

02

AI Development

Building machine learning models for image recognition, natural language processing and prediction; developing AI-powered applications around each client’s needs.

03

AI Maintenance

Upgrading features as the market shifts, resolving model performance issues, and improving solutions to meet new requirements.

04

Migration & Integration

Moving legacy systems onto modern, AI-enabled platforms; standardising and migrating data ready for advanced analytics.

05

AI Management

Real-time performance monitoring, risk management and incident handling, plus backup and governance of training data.

Engineering certifications

Google
Google
TensorFlow Developer Certificate
Microsoft
Microsoft
Certified Azure AI Engineer Associate
AWS
AWS
Certified Machine Learning — Specialty
NVIDIA
NVIDIA
Deep Learning Institute
IBM
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
TensorFlowPyTorchKerasScikit-learnXGBoostHugging FaceTransformers
TensorFlowPyTorchKerasScikit-learnXGBoostHugging FaceTransformers
TensorFlowPyTorchKerasScikit-learnXGBoostHugging FaceTransformers
TensorFlowPyTorchKerasScikit-learnXGBoostHugging FaceTransformers
Computer Vision
OpenCVYOLOResNetEfficientNetMediaPipePaddleOCRSemantic Segmentation
OpenCVYOLOResNetEfficientNetMediaPipePaddleOCRSemantic Segmentation
OpenCVYOLOResNetEfficientNetMediaPipePaddleOCRSemantic Segmentation
OpenCVYOLOResNetEfficientNetMediaPipePaddleOCRSemantic Segmentation
Data & Streaming
Apache KafkaSpark StreamingPostgreSQLAWS IoT CoreGIS
Apache KafkaSpark StreamingPostgreSQLAWS IoT CoreGIS
Apache KafkaSpark StreamingPostgreSQLAWS IoT CoreGIS
Apache KafkaSpark StreamingPostgreSQLAWS IoT CoreGIS
MLOps
MLflowKubeflowAWS SageMakerTensorFlow ServingDockerKubernetes
MLflowKubeflowAWS SageMakerTensorFlow ServingDockerKubernetes
MLflowKubeflowAWS SageMakerTensorFlow ServingDockerKubernetes
MLflowKubeflowAWS SageMakerTensorFlow ServingDockerKubernetes
Infrastructure & Security
AWSAzureGoogle CloudJWT / OAuth2AES / RSAELK StackPrometheus
AWSAzureGoogle CloudJWT / OAuth2AES / RSAELK StackPrometheus
AWSAzureGoogle CloudJWT / OAuth2AES / RSAELK StackPrometheus
AWSAzureGoogle CloudJWT / OAuth2AES / RSAELK StackPrometheus
Case studies

9AI systems taken into live operation

Each project follows the same structure: the real problem, the approach, the technologies, the value delivered — and, most relevant for manufacturers, the concrete ways it applies to your own plant.

About the figures cited: these are publicly published results for each TYPE of solution, with sources so you can verify them yourself — not measurements from the specific projects we delivered. Figures for your own plant only exist after we measure your baseline during the survey phase.
eKYC

eKYC

Banking & Finance

An electronic identity platform that automates customer identity verification by extracting data from personal documents — national ID cards, chip-based ID cards and passports. It serves banks, financial institutions and digital payment services where accuracy and security must hold at scale.

How this applies to a factory

This is precisely the core capability behind factory document processing: reading invoices, packing lists, customs declarations and quality records. The same techniques — extracting data from document images, cross-checking and controlling error — applied to a different document type.

Concrete deployment options for your plant — pick the one matching your bottleneck:
01
Import-export document assistant

Reads invoices, packing lists, bills of lading and certificates of origin, fills the data into your system and cross-checks documents against each other to catch quantity or description mismatches before the file moves on.

02
Digitising quality records

Extracts measured results from inspection sheets and certificates of analysis into a database instead of manual keying — records become searchable by lot when a customer asks.

03
Warehouse and delivery paperwork

Staff photograph the slip on a phone, the system reads it and pushes it straight into the management software — no re-keying at the office at end of shift.

04
Consumption-norm reconciliation

Matches actual material quantities on documents against declared consumption norms, flagging the gap early rather than at the reconciliation period.

Industries

Where our solutions create measurable value today

Manufacturing & Industrial

Predictive maintenance, production automation and improved operational efficiency.

Banking & Finance

Risk management, credit assessment, electronic identity verification and fraud detection.

Energy & Utilities

Output forecasting, remote equipment monitoring and consumption optimisation.

Retail & Consumer

Customer behaviour analytics, demand forecasting and supply-chain optimisation.

Healthcare

Medical imaging analysis, disease prediction and treatment decision support.

Smart City & Industrial Parks

Environmental monitoring, waste management and digital infrastructure for industrial parks.

How we work

Five steps — and the first one is not selling technology

01Discovery & problem framing

Working on site, identifying the real bottleneck and measuring the current state before any technology discussion.

02Business analysis & design

Modelling the process, mapping available data and designing a solution that fits the systems already running.

03Narrow-scope pilot

Deploying on one process or one line, with acceptance criteria agreed before work starts.

04Integration & handover

Connecting to existing systems, training users and handing over complete operating documentation.

05Operation & continuous improvement

Monitoring model performance, updating with new data and expanding once value is proven.

Operating principles

Start small, measure everything

We do not propose wholesale transformation up front. Each step has a narrow scope and acceptance criteria agreed before work begins.

No replacement of core systems

Our solutions sit on top of what already runs. ERP, MES and group systems keep their role as the systems of record.

Humans stay in control

AI detects, ranks and proposes. People confirm at the decisive steps, especially for records carrying legal weight.

Your data stays yours

On-premise deployment where required. Data and models trained on client data belong to the client and are never used elsewhere.

All it takes is 90 minutes on site with your team

We observe your operating processes as they actually run, pinpoint the bottlenecks consuming the most manpower, and measure the current state.

What you receive

A detailed assessment with a proposed pilot approach and clearly defined measurement criteria (KPI/ROI).

Our commitment

We respect your time and your results. If we judge that this is not the right moment to proceed, we will tell you so plainly.