Custom LLM Development turns foundation models into domain experts. We fine-tune open-source or proprietary models on your datasets and build the surrounding system: retrieval, embeddings, inference APIs, evaluation, and security controls.
We focus on measurable improvements over generic models — accuracy on your domain tasks, safe behavior under adversarial prompts, predictable latency, and cost controls that scale with usage.
This service is ideal for copilots, knowledge assistants, automated document workflows, and generative features where reliability and ownership matter.
Key Outcomes
- Higher task accuracy through domain fine-tuning and RAG grounding
- Production inference APIs with cost/latency controls
- Evaluation and red-teaming to prevent regressions and unsafe behavior
- A deployable system your business can own and operate
What's Included
Real, specific deliverables that move you from idea to production with measurable outcomes.
Foundation Model Selection
Choose the best base model for your task, constraints, and ownership needs.
Domain-Specific Fine-Tuning
Fine-tune with strong dataset governance and measurable evaluation gates.
RAG Pipeline Architecture
Chunking, retrieval, reranking, grounding, and citation-friendly responses.
Embedding & Vector DB Setup
Embeddings strategy, indexing, and query performance for real workloads.
Inference API Development
Secure APIs, streaming, caching, rate limits, and observability.
Model Evaluation & Red-Teaming
Regression suites, judge strategies, and adversarial testing.
How We Work
Senior-led delivery with clear milestones, predictable execution, and transparent communication.
Dataset Curation
Collect, clean, label, and define evaluation targets.
Fine-Tuning
Train and iterate with controlled experiments and tracking.
Evaluation
Score accuracy, safety, and robustness against regression suites.
Production Deployment
Ship APIs with monitoring, cost controls, and rollbacks.
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Adjacent services that pair well with Custom LLM Development engagements.
Ready to build with Custom LLM Development?
Ship domain-tuned LLM systems with grounding, evaluation, and production-grade inference.