ZENKEI
Custom AI agents that read, decide and act across your tools, built on your data and stack, production-grade, with human oversight where you want it.
Rated 4.9 out of 5 by clients across AI, software and quantitative projects.
AI agent development is the work of building software that doesn't just answer, it acts. An AI agent reads context, plans the steps, uses your tools and APIs, and completes a task from end to end, with human oversight where you want it. ZenkeiX builds custom AI agents on your data and your stack, for production.
Whether you need a single workflow agent that clears a repetitive process, an agent that reasons over your knowledge base, or an orchestrated multi-agent system, we scope it around a metric that matters and ship it, with guardrails, logging and, when your data can't leave the building, a fully private deployment.
Not chatbots. Agents that act across your business, end to end.
Autonomous, multi-step agents that clear a repetitive process across your tools while your team does the work only humans should.
Function calling and connectors that let an agent read and act on your real systems: CRM, databases, internal APIs, the browser.
Agents grounded in your documents and knowledge base, so their decisions are backed by your sources, not guesswork.
Supervisor-and-worker architectures where specialised agents coordinate on bigger jobs, with orchestration and clean handoffs.
One working session on your processes. We leave with the task an agent should own, the one that moves real numbers, not the fashionable one.
Production-grade from day one: your data, your stack, your tools. Guardrails, approvals and logging built in, not bolted on.
Deployed, monitored, improved. The agent earns its place in your operation or we keep working.
AI agent development is building software that can read context, decide and take actions across your tools to complete a task from end to end, going beyond a chatbot that only replies.
It handles multi-step workflows: pulling data from your systems, calling APIs and tools, making decisions against your rules, and acting, research, triage, data entry, customer operations, reporting and more.
A chatbot answers questions. An agent takes actions: it plans steps, uses tools and APIs, and completes work, with human oversight wherever you want it.
Yes. We connect agents to your APIs, databases and documents, often with RAG, so they act on your real systems. Private and on-premise deployments are available.
We're model-agnostic (Claude, GPT, Gemini and others) building with frameworks such as LangGraph and LangChain, plus custom orchestration when a project needs it.
Yes. We add guardrails, approvals and logging so an agent operates within the limits you set and every action is auditable.
Thirty minutes on your process. No slides, no fluff.