We design and develop AI solutions that feel natural to users and work reliably in production. From LLM integrations to RAG knowledge assistants and agentic workflows, we help you ship AI features that improve speed, reduce manual work, and unlock smarter operations.
AI is evolving rapidly, but businesses still need solutions that are practical, secure, and measurable. At Amilek, we focus on real use cases,support automation, document intelligence with citations, workflow automation using agents, and LLM-powered features inside SaaS platforms. We combine product UX thinking with clean engineering so your AI feels like a natural part of your product, not a disconnected experiment.

We design AI experiences that are easy to use, fast, and clear. UX remains the foundation.
We use structured outputs, validation, and fallback flows so results stay consistent.
We integrate AI safely with controlled access, logging, and performance monitoring.
We add admin controls, feedback loops, and workflows that match how teams actually operate.
We understand your users, data sources, workflows, and success metrics.
We map the experience and define how AI fits into the product journey.
We implement the AI layer, APIs, security, and required tool integrations.
We test with real scenarios, tune quality, and deploy with monitoring.

We build AI solutions using modern, proven stacks including OpenAI, Gemini, Grok, orchestration frameworks and custom workflows, vector databases (pgvector, Qdrant, Pinecone), and scalable backends like Node.js, Next.js, and FastAPI. We also integrate with business tools like Slack, ClickUp, CRMs, and internal APIs to deliver production-ready AI workflows.

A customer support chatbot answers common questions and escalates when needed. A RAG assistant answers using your documents with sources and citations, which improves accuracy and trust.
No. It reduces repetitive queries and improves response time. Complex cases still go to humans with proper handoff and context.
We use retrieval for document-based answers, structured outputs, validation, and trust layers like sources, citations, and disclaimers.
Yes. We integrate with your systems through secure APIs and tool calling, including CRMs, project tools, messaging platforms, and internal apps.
Your goals, workflows, and sample questions. For RAG projects, we also need your documents and access rules