LLM Agent Development Services

LLM agent development costs depend on complexity, the number of agents, integrations, and data sources. A single-agent proof of concept starts around $8,000–$15,000, while multi-agent production systems with RAG pipelines and custom integrations typically range from $25,000–$80,000+. We provide a free discovery call and a detailed quote based on your specific requirements.

A focused single-agent solution typically takes 4–6 weeks from kickoff to production deployment. Complex multi-agent orchestration systems with multiple data sources, tool integrations, and evaluation pipelines take 8–16 weeks. We always provide a detailed timeline during the proposal phase.

We work with all major models: Anthropic Claude (our preferred for safety and instruction-following), OpenAI GPT-4o, Google Gemini, and open-source models like Llama, Mistral, and Qwen via Ollama or Hugging Face. Model choice depends on your cost, latency, privacy, and capability requirements.

A chatbot follows scripted flows and responds to predefined inputs. An LLM agent reasons dynamically, uses tools (search, APIs, databases), takes multi-step actions, and handles tasks it was never explicitly programmed for. Agents can browse the web, query your CRM, send emails, and complete complex workflows autonomously.

Yes. We specialize in connecting LLM agents to existing infrastructure — CRMs, ERPs, databases, REST APIs, Slack, email, Google Workspace, and more. If it has an API or can be accessed programmatically, we can connect an agent to it.

We implement multiple safeguards: Retrieval-Augmented Generation (RAG) to ground answers in your actual data, output validation layers, confidence thresholds, human-in-the-loop escalation for uncertain cases, and structured evaluation suites. We also red-team agents before deployment to surface edge cases.