01
Custom Model Development
Purpose-built ML models trained on your data, not generic off-the-shelf solutions.
02
Production-Ready AI
We deploy models with robust inference pipelines, monitoring, and drift detection.
03
LLM & Generative AI
Fine-tuned language models, RAG pipelines, and AI agents for your workflows.
04
Measurable ROI
Every AI engagement is tied to concrete business metrics — not just accuracy scores.
What's Included
- Business requirements analysis and AI feasibility study
- Data pipeline design, ETL, and feature engineering
- Model architecture selection, training, and hyperparameter tuning
- RAG (Retrieval Augmented Generation) pipeline implementation
- LLM integration and fine-tuning (GPT, Claude, LLaMA, Mistral)
- Computer vision solutions — object detection, classification, OCR
- NLP systems — sentiment analysis, entity extraction, summarization
- Model serving infrastructure (REST API, gRPC, streaming)
- A/B testing framework and model performance monitoring
- Explainability reports and model documentation
- Post-deployment support and model retraining workflows
Technologies We Use
PythonPyTorchTensorFlowScikit-learnHugging FaceLangChainLlamaIndexOpenAI APIAnthropic APIFastAPIRay ServeMLflowWeights & BiasesPineconeWeaviatePostgreSQL + pgvectorAWS SageMakerGoogle Vertex AIDockerKubernetes