On-Premise AI Search & Private AI

Many organizations cannot use cloud AI services to process internal documentation, customer information, contracts, engineering documents, or other confidential data.

Kavunka provides an on-premise AI search platform that combines Enterprise Search, Retrieval-Augmented Generation (RAG), and local Large Language Models while keeping enterprise knowledge inside your own infrastructure.

Your data, search index, and AI remain under your control.

Running AI locally allows organizations to keep sensitive data inside their infrastructure, reduce dependency on external AI providers, deploy AI in isolated or private networks, customize AI for business-specific workflows, and maintain full administrative control.

For organizations with strict security or compliance requirements, this architecture is often essential.

Kavunka is model-agnostic and supports today's most popular open-weight language models running locally, including Llama, Qwen, Mistral, and Gemma.

Because search and AI are separated, organizations can upgrade or replace language models without rebuilding their search infrastructure or re-indexing enterprise content.

Large language models cannot answer questions about information they cannot access. Kavunka provides the enterprise search layer required for RAG by indexing company knowledge such as websites, HTML documentation, PDF documents, knowledge bases, and technical manuals.

The AI assistant generates answers using retrieved enterprise content instead of relying only on model memory.

Together with iFigure, Kavunka allows administrators to configure AI behavior without modifying code.

Administrators can create Question & Answer pairs, manage prompts, configure triggers and goals, define AI workflows, and control response behavior.

This allows organizations to adapt the assistant to internal business processes while maintaining consistent responses.

Unlike cloud AI platforms that depend on a single provider, Kavunka lets organizations choose their preferred language model.

The search platform remains unchanged while AI models evolve, protecting long-term investments in enterprise search and knowledge management.

Kavunka is suitable for organizations requiring on-premise deployment, private infrastructure, isolated environments, secure internal networks, and enterprise customization.

Typical industries include finance, healthcare, manufacturing, government, legal services, insurance, and critical infrastructure.

Cloud AI	Kavunka
External infrastructure	Your infrastructure
Provider-selected AI	Your preferred LLM
Limited customization	Configurable AI workflows
Internet dependent	Can run in private networks
Vendor controlled	Administrator controlled

Kavunka combines Enterprise Search, AI Search, RAG, on-premise deployment, local LLM support, administrator-controlled AI, and configurable workflows.

Instead of choosing between AI capabilities and data control, organizations can deploy both in a single platform.

Which language models are supported?
Kavunka supports popular open-weight models including Llama, Qwen, Mistral, and Gemma.

Can AI run without cloud services?
Yes. Kavunka is designed for on-premise deployment and can operate entirely inside your own infrastructure.

Can administrators customize AI behavior?
Yes. iFigure provides a graphical interface for managing Question & Answer pairs, prompts, triggers, goals, and AI workflows.

Why use On-Premise AI?
On-premise deployment provides greater control over enterprise data, infrastructure, AI behavior, and long-term technology decisions.

Kavunka enables organizations to build secure AI search solutions using local language models, enterprise search, and administrator-controlled AI workflows, all within their own infrastructure.