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Private LLM and ML Applications

Turn your data and domain knowledge into AI apps that answer, predict, classify, recommend, and automate business decisions.

Business fit

Industries, SaaS, service businesses, ecommerce, education, clinics

80%
FAQ deflection target
<10s
First response
Handoff
For complex cases

When this solution
makes sense

01

Your business data is scattered across documents, spreadsheets, chats, and databases.

02

Generic AI tools do not understand your industry rules, vocabulary, or workflow.

03

Teams need predictions, recommendations, and answers inside the tools they already use.

What IOzenix
builds for you

01

Private LLM or RAG application trained around approved business knowledge

02

ML model for prediction, classification, recommendation, or anomaly detection

03

Web app, dashboard, API, or WhatsApp interface for real users

04

Evaluation, guardrails, analytics, and improvement backlog

From audit to
working system

We keep the first sprint focused on business value, then improve using real usage and conversations.

Step 01

Map your knowledge and data

We organize documents, databases, spreadsheets, policies, and domain rules.

Step 02

Build the AI application

We implement the LLM, ML model, business logic, interface, and integrations.

Step 03

Evaluate and improve

We test model quality, tune prompts or features, and refine with real usage.

Built with the
right tools

Private LLMRAGML ModelsVector DBAPIs
Can the AI work with our private documents and data?

Yes. We structure your documents and data into a controlled knowledge layer with guardrails, access rules, and evaluation checks.

Can this become a full business app?

Yes. We can wrap the LLM or ML model inside a web app, dashboard, API, WhatsApp flow, or internal tool.

Start your
transformation.