Custom LLM Fine-Tuning
Fine-tune GPT, Claude, Gemini, Llama, and Mistral on your proprietary data to create domain-expert models that outperform generic APIs.
Enterprise AI/ML & GenAI That Works in Production — Elwin Technologies
AI/ML & GenAI
Enterprise AI That Works in Production
Custom AI systems built on your proprietary data — delivering measurable outcomes, not proof-of-concept demos.
Start Your AI JourneyWhat we build
Full-spectrum AI capabilities
From language models to computer vision, we cover every layer of the modern AI stack.
RAG Architecture
Design and deploy Retrieval-Augmented Generation systems that ground every response in your verified knowledge base — no hallucinations.
Predictive Modeling
Demand forecasting, churn prediction, fraud detection, and risk scoring models trained on your historical data and deployed at scale.
Computer Vision
Automated quality control, logistics tracking, and visual inspection pipelines that replace manual review with real-time AI inference.
NLP Pipelines
End-to-end document processing, OCR, entity extraction, and classification pipelines that turn unstructured text into structured insight.
MLOps Infrastructure
Production-grade ML platforms on MLflow, Kubeflow, SageMaker, and Vertex AI — with automated retraining, drift detection, and CI/CD.
How we deliver
From idea to production in four steps
A structured engagement model that de-risks AI adoption and accelerates time-to-value.
01
Use Case Definition
We map your operations to identify the highest-ROI AI opportunities — prioritising quick wins alongside strategic long-term capabilities.
Included in every engagement
02
Data Preparation
Clean, label, and structure your proprietary data. We build the data pipelines and governance frameworks that make model training reliable.
Included in every engagement
03
Model Development
Train, fine-tune, evaluate, and iterate. Every model is benchmarked against your business KPIs — not just academic accuracy metrics.
Included in every engagement
04
Production Deployment
MLOps pipelines, real-time monitoring, automated retraining, and rollback safeguards so your AI keeps improving after go-live.
Included in every engagement
Outcomes
Results our clients measure
85%
Document automation rate
across enterprise NLP deployments
40%
Better forecast accuracy
vs. baseline statistical models
5×
ROI on AI investment
measured within 12 months
Tech stack
Tools we work with
We're platform-agnostic — we choose the right tool for your use case, not the one we're certified in.
OpenAIAnthropic ClaudeLangChainLlamaIndexHuggingFaceMLflowVertex AISageMakerPineconeWeaviate
Let's build together
Ready to build AI that actually works?
Most AI projects fail because they're built as demos, not systems. We engineer for production from day one.
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