What we deliver

Neural intelligence services

Five core practice areas — from bespoke model engineering to GPU cluster optimisation — delivered by senior ML engineers based in Singapore.

Custom neural model development dashboard with architecture layers
Service 01

Custom Neural Models

We design and train bespoke neural architectures tailored to your data, latency requirements, and accuracy targets. From transformer fine-tuning to domain-specific encoders, every model ships with full lineage documentation and reproducible training pipelines.

  • Architecture design and prototyping
  • Transfer learning and fine-tuning
  • Model versioning and experiment tracking
  • Production deployment and monitoring
Discuss neural models
Natural language processing pipeline with tokenisation and entity extraction
Service 02

Natural Language Processing

Enterprise-grade language intelligence for document processing, conversational interfaces, and semantic search. Built for English and multilingual APAC content with PDPA-compliant data handling throughout.

  • Document classification and extraction
  • Semantic search and retrieval-augmented generation
  • Conversational agent design
  • Multilingual tokenisation and summarisation
Discuss NLP projects
Deep learning neural network with interconnected node layers
Service 03

Deep Learning Systems

End-to-end deep learning programmes — from data pipeline engineering to distributed training and governed inference. We build systems that your engineering team can operate and extend long after handover.

  • Feature store design and data contracts
  • Distributed training orchestration
  • Multi-model serving architectures
  • Continuous retraining pipelines
Discuss deep learning
Model optimisation metrics showing latency and accuracy improvements
Service 04

Model Optimisation

Reduce inference cost and latency without sacrificing accuracy. Our optimisation practice covers quantisation, pruning, knowledge distillation, and hardware-aware compilation for production workloads.

  • Latency profiling and bottleneck analysis
  • Quantisation and graph pruning
  • Knowledge distillation pipelines
  • Hardware-specific compilation (TensorRT, ONNX)
Discuss optimisation
GPU cluster infrastructure for high-performance model training
Service 05

GPU Infrastructure Consulting

Right-size your compute investment. We assess cloud and on-premise GPU requirements, design cluster architectures, and implement cost controls — so training budgets stay predictable as workloads grow.

  • Cloud vs on-premise TCO analysis
  • Cluster design and workload scheduling
  • Spot instance and reserved capacity strategy
  • Multi-tenant GPU sharing policies
Discuss GPU consulting

Not sure which service fits?

Book a complimentary discovery call. We will map your requirements to the right combination of services and NGN modules.

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