Off-the-shelf AI is good for demos. But your business isn’t a demo. When precision matters — when your data, users, or workflows demand more than a general-purpose model — you need something custom. At CONFLICT, we design, train, fine-tune, and deploy models tuned to your exact needs.
Whether it’s a domain-specific LLM, a multilingual support bot, or a high-accuracy generator for your internal data, we build AI that actually understands your business.
What We Offer
Fine-tuned LLMs
Customize OpenAI, Claude, Gemini, or OSS models using proprietary data and desired tone.
Domain-Specific Models
Train models on data from legal, healthcare, ecommerce, finance, SaaS, or internal docs.
Instruction & Task-Tuned Intelligence
Optimize models for writing style, customer support, or agent workflows.
Multilingual Context-Aware AI
Enable regulatory translation pipelines and global support bots.
Retrieval-Enhanced Generation
Design fallback strategies and context-aware scaffolding for few-shot or zero-shot use.
Evaluation Pipelines
Deploy regression testing and evaluation frameworks for latency, safety, and quality.
Prompt & Guardrail Engineering
Reduce hallucinations, control tone, and enforce output constraints.
AI Infrastructure & Hosting
Host on Hugging Face, AWS, Vercel AI SDK, or GPU-accelerated environments.
Reinforcement Learning Systems
Train agents to learn optimal behavior from feedback and reward mechanisms.
Platforms & Frameworks We Use
OpenAI, Anthropic (Claude), Google (Gemini), Meta (LLaMA)
Hugging Face Transformers, LangChain, LlamaIndex, Vector DBs
PyTorch, TensorFlow, Keras for model training
Vercel AI SDK, AWS SageMaker, local GPU orchestration