LLM Fine-Tuning & Deployment
From API-based prototypes to fine-tuned production models, we help product teams navigate the build-vs-buy decision for LLM-powered features. End-to-end implementation covering training data curation, model fine-tuning, evaluation, GPU-optimized deployment, and hybrid routing architectures that balance cost and quality.
Our implementation approach covers the full spectrum of llm fine-tuning & deployment partner, bengaluru.
LLM fine-tuning (LoRA, QLoRA) on Llama, Mistral, Qwen, and others
Training data curation and quality pipeline
Systematic model evaluation and benchmarking
GPU-optimized inference deployment (vLLM, TGI, TensorRT-LLM)
Hybrid routing architecture (fine-tuned + API models)
API-based LLM integration (Claude, GPT-4, Gemini)
Model monitoring and quality regression detection
Cost modelling and break-even analysis
Private cloud and on-premises model deployment
Continuous fine-tuning pipeline with production feedback
Common questions about llm fine-tuning & deployment partner, bengaluru.
We instrument your current API-based system to collect real usage data, token volume, task types, latency requirements, quality scores. Then we run a cost-benefit analysis that accounts for fine-tuning investment, hosting costs, quality trade-offs, and engineering maintenance. The data usually makes the decision clear.
A typical engagement takes 6-10 weeks: 2 weeks for data curation and initial experiments, 2-3 weeks for iterative fine-tuning and evaluation, and 2-3 weeks for production deployment and monitoring. We can compress this to 4 weeks for well-defined tasks with existing training data.
We deploy on the infrastructure that matches your requirements. Options include AWS (SageMaker, ECS with GPU), Google Cloud (Vertex AI, GKE with GPU), Azure ML, and on-premises servers. For cost-sensitive deployments, we use reserved GPU instances and optimize batch sizes for maximum throughput per dollar.
We build production-ready llm fine-tuning & deployment partner, bengaluru systems designed to scale.
We approach every project with production readiness in mind—proper error handling, monitoring, and scalability from day one.
We help you decide what to build custom and what to integrate. Not every problem needs a custom solution.
Our team brings deep experience in building similar systems, reducing risk and accelerating delivery.
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Boolean and Beyond
825/90, 13th Cross, 3rd Main
Mahalaxmi Layout, Bengaluru - 560086
590, Diwan Bahadur Rd
Near Savitha Hall, R.S. Puram
Coimbatore, Tamil Nadu 641002