ZENKEI
AI agents, RAG systems and machine learning that move real metrics. Built for production, not for demos.
Rated 4.9 out of 5 by clients across AI, software and quantitative projects.
AI development is the work of turning a business problem into software that reads, reasons and acts. ZenkeiX builds production AI: AI agents, RAG and knowledge systems, custom LLMs and machine-learning models, on your data and your stack, not throwaway demos.
Whether you need an autonomous agent that works across your tools, a retrieval system that answers from your documents with sources, a model fine-tuned to your domain, or a document-AI pipeline, we scope it around a metric that matters and ship it to production. Private, on-premise and local deployments are available when your data can't leave the building.
Not chatbots. Working systems that read, decide and act inside your business.
Autonomous workflows that operate across your tools: reading, deciding, executing. Headcount stays, output multiplies.
02Your documents become an expert that answers in seconds, with sources. Contracts, manuals, archives: searchable intelligence.
Models trained on your data: forecasting, scoring, classification. Fine-tuned, quantized, deployed where you need them.
Invoices, contracts, images. Extraction pipelines that turn unstructured chaos into clean, structured data.
One working session on your processes. We leave with the use cases that move real numbers, not the fashionable ones.
Production-grade from day one: your data, your stack, your constraints. No throwaway demos.
Deployed, monitored, improved. The system earns its place in your operation or we keep working.
AI agents that operate across your tools, RAG and knowledge systems that answer from your own documents with sources, custom and fine-tuned LLMs, machine learning models for forecasting and scoring, and document AI and computer vision pipelines, all built for production on your data.
An AI agent is a system that can read context, decide and take actions across your tools with little or no human intervention, not just answering a question, but completing a task from end to end.
RAG connects a language model to your own documents so it answers from your knowledge base with citations, instead of guessing. It's how you get accurate, source-backed answers on private data.
Yes. When your data can't leave the building, we deploy models locally or in your private cloud, so nothing is sent to a third-party API.
Yes. We work with your documents, databases and systems, and your data and any resulting models stay yours.
We're model-agnostic (Claude, GPT, Gemini, Mistral, Llama and Qwen among others) built with frameworks such as LangChain, LangGraph and PyTorch, and chosen for the job rather than the hype.
Thirty minutes on your problem. No slides, no fluff.