ZENKEI
We embed AI into your existing products, systems and workflows, connecting model APIs, retrieval and automation to the tools you already use, on your stack.
Rated 4.9 out of 5 by clients across AI, software and quantitative projects.
AI integration is adding AI to the products, systems and workflows you already run, rather than building a new AI product from scratch. ZenkeiX connects language models, retrieval and automation to your apps, APIs and internal tools, so they gain AI features in place, on your stack, with private options where your data cannot leave the building.
Whether you want a model behind a feature in your product, retrieval over your documents inside an existing app, or AI woven into an automated workflow, we build the connection, keep it reliable, and prove it against a real metric. It builds on our AI agents, RAG systems and chatbots. Deciding whether to integrate or build custom? See build vs buy AI.
Not a new tool to adopt. AI inside the systems you already use.
Claude, GPT, Gemini or open models wired into your product and backend, provider-agnostic, with routing and fallbacks.
AI woven into your automations and internal tools, CRM, help desk, spreadsheets, n8n, so routine work runs itself.
Retrieval over your documents and data added inside an app you already have, so answers are grounded and current.
New AI-powered features built into your product's UI and backend, from drafting and search to classification and extraction.
One session on your product and processes. We leave with the integration that moves a real metric, not the fashionable one.
We connect the model, your data and your tools, with least-privilege access, guardrails and logging built in, not bolted on.
Deployed, measured on your KPIs, and kept working as models and your systems change. Private deployment where needed.
AI integration is adding AI capabilities to the products, systems and workflows you already run, rather than building a new AI product from scratch. It connects language models, retrieval and automation to your apps, APIs and internal tools so they gain AI features in place.
Building from scratch creates a new standalone product. Integration adds AI to what you already have, so it fits your existing stack, data and processes and ships faster. Most companies start by integrating AI into current systems, then build custom where it becomes a differentiator.
We are provider-agnostic and integrate Claude, GPT, Gemini and open models such as Mistral, Llama and Qwen, through their APIs or self-hosted. We pick the model per task and can route between providers, so you are not locked to one.
Yes. We connect AI to your CRM, databases, internal APIs, help desk, documents and automation tools, so it reads and acts on your real systems. Retrieval grounds it in your data and automations trigger it inside the workflows you already use.
Yes. We follow least-privilege access, keep credentials and data on your side, and can use private or self-hosted models so nothing sensitive is sent to a third-party API. The integration is built to your security and compliance requirements.
A focused integration into one workflow can ship in a couple of weeks, while a broader rollout across several systems takes longer. We scope it on a short call, start with the integration that moves a real metric, and expand from there.
Thirty minutes on your stack. No slides, no fluff.