AI Development Services

We develop enterprise RAG applications, generative AI assistants, multimodal AI applications, document intelligence solutions, and LLM-powered workflows. Each application is designed with the security, access controls, evaluation, and governance required for enterprise use.

Yes. Intellectyx develops custom AI agents, AI copilots, multi-agent systems, and agentic workflows that can reason, use enterprise tools, coordinate tasks, and involve employees when approval or specialist judgment is required.

Yes. Intellectyx designs AI solutions to integrate with existing enterprise systems, applications, data platforms, and workflows. We assess your current technology environment and build the required integrations to support secure data exchange and minimize disruption to existing operations.

Enterprise Knowledge AI connects fragmented documents, data sources, and knowledge repositories through governed search, knowledge assistants, agentic RAG, and knowledge graph solutions. It helps users find, understand, and act on trusted information more efficiently.

Model and architecture decisions are based on the use case, data sensitivity, accuracy, latency, security, scalability, deployment environment, governance, and operating cost. Intellectyx follows a model-independent approach rather than limiting every solution to one provider.

The timeline depends on solution complexity, data readiness, integrations, model requirements, security, and deployment scope. A focused PoC may take several weeks, while a production solution typically follows a broader phased development plan.

Costs vary based on the solution scope, models, data requirements, integrations, infrastructure, security, testing, and production support. Intellectyx defines the expected deliverables, timeline, team, and commercial model after an initial discovery discussion.