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Knowledge AI connecting documents and workflows.

IKIN

IKIN product visual

Finding a document
does not complete the work.

Search finds documents, but work requires comparison and evidence. IKIN provides cited answers through Agentic RAG and supports AI agent workflows.

01

Information keeps accumulating.

Reports, policies, regulations, manuals, and meeting materials accumulate in different formats.

02

Search stops at a list.

Documents can be found, but users still have to identify what matters.

03

Decisions need evidence.

Multiple documents must be compared and the original passages and sources verified.

04

Workflows remain disconnected.

Review, approval, notification, and reporting are handled separately from the knowledge search.

Within KosmosAI, IKIN connects
documents with workflows.

IKIN connects internal documents and procedures through Agentic RAG and Workflow, turning organizational knowledge into practical work.

SAMANDA

Agentic AI that analyzes operations data and supports decisions and execution

ORKESTRIX

Kubernetes-based environment for running AI workloads

AkashiQ

Data foundation for storing and using documents, data, and logs

IKIN reads and compares documents,
then answers with evidence.

Traditional search stops at matching keywords.
IKIN Agentic RAG finds relevant sources by intent, compares their content, and provides answers with citations.

TRADITIONAL ENTERPRISE SEARCH
IKIN AGENTIC RAG

Keyword-based

Returns a list of documents containing keywords.

Intent-based

Finds relevant documents and sections to compose an answer.

Manual review

Users must open and read each document.

AI research and comparison

Researches multiple documents and synthesizes the key findings.

Sources checked separately

Evidence and original passages must be found separately.

Sources with every answer

Shows document, section, and original location together.

Transform documents into knowledge
AI can understand.

Document recognition

Identifies titles, body text, tables, and figures.

Text extraction

Reads scanned images and text embedded in documents.

Table and chart analysis

Structures rows, columns, charts, and image descriptions.

Outline and summary

Organizes section flow and key terms together.

Break down questions
and research multiple documents together.

IKINAGENTIC RAG

Synthesized answer

Summarizes verified findings into an answer.

Understand the question

Identifies intent and the required scope.

Break down research

Splits policies, regulations, manuals, and reports into tasks.

Research documents

Finds and reviews relevant documents and sections.

Compare sources

Compares differences and connected context.

Cite sources

Provides original locations and supporting documents.

Build AI flows
for each business objective.

Combine questions, Agentic RAG, decisions, approvals, notifications, and system integrations into task-specific AI agent flows.

AGENTIC TEMPLATE

01

Policy Review Agent

Reviews internal policies and related documents.

02

Document Summary Agent

Summarizes long reports and meeting materials.

03

Approval Agent

Evaluates requests and connects approvals and notifications.

04

History Management Agent

Records outcomes and supporting documents.

...

WORKFLOW RECIPE

TRIGGER

Question or request

Start from a question, document upload, or system event.

KNOWLEDGE

Agentic RAG

Retrieve answers and citations when documentary evidence is required.

AGENT

Business decision

Classify content and define the next task for the business objective.

ACTION

Approval and notification

Connect review requests, approval flows, and messenger alerts.

RECORD

Record results

Store outcomes, evidence, and execution logs.

WORKFLOW EXAMPLES

Policy reviewReport draftingInternal Q&AAudit preparationApproval automationManual Q&ATraining content...

Operate entirely within secure networks.

Run self-hosted LLMs and document indexes on-premise or air-gapped so documents, questions, and answers never leave your network.

Architecture contained within your network

Secure, self-hosted IKIN architecture

Validate small, then expand securely.

01

Document assessment

Review document types, security levels, and user workflows.

02

PoC validation

Validate retrieval, answer, and citation quality with real documents.

03

Department rollout

Deploy validated scopes to teams and user groups.

04

Secure-network expansion

Expand to on-premise and air-gapped operations.

IKIN is intelligence designed to benefit people.

IKIN expresses the idea of making knowledge beneficial in an enterprise AI environment.
Agentic RAG understands documents and context, while Workflow connects questions, retrieval, decisions, and actions.

IK

Make knowledge useful

Turns scattered documents into actionable answers and evidence.

IN

Keep people at the center

Organizes answers and next steps around user intent and work context.

IKIN FOR KNOWLEDGE WORK

Go beyond document search
and build AI services for real work.

IKIN turns internal documents into cited answers and uses Agentic RAG and
Workflow to connect questions, retrieval, decisions, and actions.