Artificial Intelligence Development Company

We build four core categories of AI systems: agentic AI (autonomous, multi-step workflows), generative AI (content, code, and LLM-based systems), custom AI agents/copilots (embedded assistants wired into your tools), and RAG-powered chatbots (accurate, document-grounded conversational AI). Most projects use a combination of these depending on the use case.

It depends on the problem. If you need something to act on your behalf across multiple steps, that's agentic AI. If you need to produce content or code at scale, that's generative AI. If you need an assistant embedded in your existing tools, that's a custom AI agent. If you need accurate answers from your own data, that's RAG. We help you figure this out in a short consulting call before any development starts.

Nearly any industry that involves data processing, decision-making, or customer interaction — healthcare, fintech, e-commerce, logistics, education, and travel are where we see the most impact..

Simple systems (a single chatbot or narrow automation) can take a few weeks. Multi-agent systems, fine-tuned generative AI pipelines, or deeply integrated copilots typically take 2-4 months depending on data readiness and integration complexity.

It depends on scope, model choice, and integration depth. Contact us for a quote based on your specific use case — we'll also tell you honestly if a simpler, cheaper solution would do the job.

For RAG chatbots and fine-tuned generative AI, yes — the quality of your data directly determines output quality. For agentic workflows and copilots, we work with your existing APIs and systems rather than requiring a separate dataset. We assess data readiness as part of AI consulting.