Agentic AI systems are autonomous agents that can reason, plan, and execute multi-step tasks without human intervention at each step. StartxLabs builds production agentic systems using LangChain, CrewAI, custom orchestration, and proprietary tooling across 40+ shipped systems.

RAG (Retrieval-Augmented Generation) grounds an LLM's outputs in your private data at inference time - ideal for knowledge bases, support systems, and document Q&A. Fine-tuning trains the model's weights on your data - better for domain-specific tone, classification, or tasks where latency or cost of retrieval is prohibitive. We help clients choose the right approach based on their use case.

We are model-agnostic. We have production systems running GPT-4o, Claude 3.5, Gemini 1.5, Mistral, LLaMA 3, and various domain-specific fine-tuned models. We recommend the right model for each use case based on cost, latency, accuracy, and compliance requirements.

Yes. LLM integration, AI agent development, and RAG are all designed for embedding into existing products. We have integrated AI into Django, Rails, Laravel, Spring Boot, Next.js, and custom microservice architectures.

Every production AI system we ship includes output validation, evals against a golden test set, confidence thresholds, human-in-the-loop escalation paths, and monitoring for drift. We treat hallucination as an engineering problem, not a philosophical one.

Project costs vary based on scope, complexity, and timeline. We offer Sprint engagements for defined scope projects, Dedicated Team engagements for full AI products, and Advisory engagements for ongoing guidance. Contact us for a tailored quote based on your specific needs.