LLM Development
LLM Development — From API Integration to Fine-Tuned Production Systems
Kovil AI builds LLM-powered systems that work in production — not just demos. From simple API integration to custom fine-tuned models, RAG pipelines, and autonomous agents.
LLM Capabilities We Deliver
LLM API integration — OpenAI, Anthropic, Google, and open-source models
Fine-tuning on your proprietary data (LoRA, QLoRA, full fine-tuning)
RAG pipeline development — ground your LLM in your documents
LLM-powered agents that plan, use tools, and complete multi-step tasks
LLMOps infrastructure — evaluation, monitoring, prompt versioning, cost tracking
Tech Stack
How It Works
Describe Your Needs
Tell us your LLM use case. We recommend the right models, architecture, and engagement model.
Build & Evaluate
Milestone-gated development with evaluation at each phase. You see quality benchmarks before moving on.
Deploy & Monitor
Production deployment with LLMOps dashboards, cost monitoring, and regression testing.
Legal / LegalTech
LLM Contract Review System — 94% Clause Analysis Automated
94% Automated
78% Faster Review
Frequently Asked Questions
What is LLM development?
LLM development covers the full spectrum of building with large language models — from API integration and prompt engineering through fine-tuning, RAG pipeline development, agent creation, and production LLMOps.
Which LLMs do you work with?
GPT-4, GPT-4o, Claude 3 (Opus/Sonnet/Haiku), Gemini 1.5/2.0, Llama 3, Mistral, Falcon, and other open-source models. We select and combine models based on your performance, cost, and privacy requirements.
Do you offer fine-tuning?
Yes. LoRA, QLoRA, and full fine-tuning on your proprietary data. We assess whether fine-tuning or RAG (or both) is the right approach based on your use case.
How do you handle production LLM reliability?
We build LLMOps infrastructure — evaluation frameworks, regression pipelines, prompt versioning, cost dashboards, latency monitoring, and fallback routing. LLM production reliability is a first-class concern.
Can you integrate LLMs into our existing product?
Yes. We specialize in integrating LLM capabilities into existing products — streaming responses, copilot features, AI search, document Q&A, and workflow automation — without rebuilding your product.
What engagement models are available?
Staff augmentation (LLM engineer embedded in your team) or fixed-price project delivery (we scope and ship the whole thing). Both include Engagement Manager oversight.
Start Your 2-Week Risk-Free Trial
Fixed price. Milestone-gated. Zero delivery risk. Zero termination fees.
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