vertical.05 // intelligence

AI & Machine
Learning

We deploy models that solve real business problems — not benchmarks. LLM fine-tuning, production ML pipelines, and RAG systems built for reliability, not demos.

AI Capabilities

Six AI disciplines from model training to strategic advisory.

LLM Fine-Tuning

Domain-specific fine-tuning of GPT, Llama, Mistral, and Claude models. We create models that understand your terminology, tone, and context perfectly.

GPTLlamaMistralLoRA
ML Pipelines

End-to-end machine learning pipelines: data ingestion, feature engineering, training, evaluation, and production deployment with automated retraining.

PyTorchTensorFlowMLflowKubeflow
Computer Vision

Object detection, image classification, OCR, and video analysis systems. We deploy vision models at the edge and in the cloud.

YOLOOpenCVSAMCLIP
NLP & Text Analytics

Sentiment analysis, entity extraction, document classification, and semantic search. We turn unstructured text into structured intelligence.

BERTspaCyTransformersEmbeddings
RAG Systems

Retrieval-Augmented Generation pipelines that connect LLMs to your proprietary data. We build knowledge bases that actually stay current.

LangChainLlamaIndexPineconeWeaviate
AI Consulting

Strategic AI audits, use-case identification, and build-vs-buy analysis. We help leadership teams make decisions that compound — not just follow trends.

AI StrategyROI ModellingRoadmapping

Models & Frameworks

We work with the best models available — proprietary and open-source — and the frameworks that productionise them.

// foundation_models
GPT Claude Llama Mistral Gemini Qwen
// frameworks_and_infra
PyTorch TensorFlow LangChain LlamaIndex Hugging Face Ray

From Data to Production

We don't just build models — we deploy, monitor, and iterate them in production. The full ML lifecycle, not a proof-of-concept that dies in a notebook.

97%
MODEL ACCURACY
<50ms
INFERENCE LATENCY
$ dht ml-pipeline --status
01 DATA_COLLECTION ████████████ DONE
02 PREPROCESSING ████████████ DONE
03 TRAINING ████████████ DONE
04 EVALUATION ████████████ DONE
05 DEPLOYMENT ████████░░░░ 73%
06 MONITORING ░░░░░░░░░░░░ WAIT
→ ETA: production-ready in 2 sprints

What We Solve

Real problems, not science experiments. Every solution ships to production.

case.01
Intelligent Search
RAG systems, semantic search, knowledge bases. Find anything in millions of documents in milliseconds.
case.02
Content Generation
Fine-tuned LLMs for brand-consistent copy, product descriptions, documentation at scale.
case.03
Visual Intelligence
Object detection, OCR, quality inspection, image classification for industrial and commercial use.
case.04
Predictive Analytics
Demand forecasting, churn prediction, anomaly detection. Turn historical data into future advantage.
case.05
Conversational AI
Custom chatbots, voice assistants, support automation. Not templates — trained on your data.
case.06
Process Automation
Document processing, workflow automation, intelligent routing. Remove humans from repetitive loops.

AI Toolchain

$ dht ai --stack --production
modelsGPT · Claude · Llama · Mistral · Gemini trainingPyTorch · TensorFlow · JAX · Hugging Face orchestrLangChain · LlamaIndex · Haystack · CrewAI vector_dbPinecone · Weaviate · Qdrant · pgvector servingvLLM · TensorRT · Triton · ONNX Runtime monitorWeights & Biases · MLflow · LangSmith · Grafana
→ full MLOps pipeline · from prototype to production in weeks

Ready to Deploy Intelligence?

Tell us your use case. We'll identify the right model, architecture, and deployment approach — and have something in your hands fast.