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SEONIK

PRODUCT

Production Stable

SEONIK Research Engine

Official startup information,from question to evidence.

A deterministic flow connects natural-language conditions, dialogue state, official-information retrieval, Answer Plans, and Evidence without relying on an external LLM for core search.

PUBLIC-SAFE PRODUCT VIEW SEONIK
Show education programs for pre-founders in Gyeonggi.

I checked official startup information using those conditions. Four education records currently match. Items without a clearly confirmed target should be reviewed in the official notice.

Applied conditions

GyeonggiPre-founderEducation

Official source

Korea Institute of Startup & Entrepreneurship Development

Not a result list.One continuous research flow.

Traditional search finds documents and returns a list. SEONIK turns a question into executable conditions, retrieves official information, and keeps the direct answer, information records, and sources in one flow.

People can continue with requests such as “remove workspace,” “change the region to Gyeonggi,” or “tell me more about the second result.” Earlier conditions remain, and only the requested field changes.

HOW IT WORKS

From a question to official Evidence

Every stage shares the same canonical state and the same executed result set.

  1. 01

    Natural-language question

    Describe a situation and conditions in Korean or supported English.

  2. 02

    Canonical conditions

    Regions, stages, types, targets, deadlines, and exclusions become a standard state.

  3. 03

    Dialogue state

    Earlier conditions remain while only the requested field is added, removed, or replaced.

  4. 04

    Official retrieval

    Allowed official information is searched with strict filters and deterministic ranking.

  5. 05

    Answer Plan

    Executed conditions and results form the conclusion, uncertainty, and next actions.

  6. 06

    Evidence

    Answers, information records, and official notices remain tied to the same result set.

What the product supports today

SEONIK favors depth and reliability in official startup-information research over broad generality.

01

Natural-language Research

Describe a situation without knowing the exact search terms.

02

Stateful follow-up questions

Preserve region, stage, type, and deadline while changing only what was requested.

03

Strict no-result behavior

Report zero instead of silently broadening active conditions.

04

Result detail and comparison

Use ordinal references to reopen a result or compare two official records.

05

Korean and supported English

Connect supported expressions in both languages to the same official conditions.

06

Official Source and Evidence

Review which official information supports an answer and its information records.

07

Radar and Today

Check new, changed, and approaching-deadline information before a question is asked.

Research and Radar,two starting points.

One begins with a question. The other begins with a change in official information.

Research

A person describes the situation, and SEONIK interprets the conditions and searches official information.

Radar

SEONIK checks new, changed, and approaching-deadline information and surfaces what to review in Today.

Both use the same official information, stable result IDs, and Evidence. An item seen in Today can be researched in the same Chat.

EVIDENCE

Answers stay connectedto their evidence.

Claims used in an answer, information records, and official notices are designed to point to the same executed result set.

The Gyeonggi condition was applied.
Pre-founder eligibility is confirmed where stated.
The official notice remains the source for the deadline.
Search execution · Applied conditions and result count
Official source · Notice published by the institution
Information record · Stable ID from the executed result

Not a smaller copyof general-purpose AI.

The products are designed for different jobs and responsibilities. This comparison describes scope, not superiority.

Product-scope comparison between SEONIK Research Engine and general-purpose generative AI
AreaSEONIK Research EngineGeneral-purpose generative AI
Core scopeOfficial startup informationBroad topics
Question handlingDomain-condition structuringGenerative language understanding
RetrievalDeterministic filters and rankingVaries by tool and model
AnswersAnswer Plan and reviewed language contractsGenerated language
No resultKeeps conditions and reports zeroVaries by service and configuration
EvidenceOfficial Source and Evidence linksVaries by service and mode
PrivacyPublic accountless use; no long-term query historyVaries by service

What SEONIK does not decide

SEONIK can organize and explain official information, but it does not guarantee program selection, investment, loan approval, legal compliance, tax outcomes, or business success.

When an official notice does not provide enough information, SEONIK indicates that further confirmation is needed.

The current product is not a general-purpose adviser or long-term personal assistant.

Research should not require unnecessary personal records.

SEONIK can currently be used without signing in.

Research questions are not stored as a user profile or long-term search history, and Research remains available when Analytics is declined.

The current conversation is retained only within the active browser flow.

Ask about official startup information and review the applied conditions and sources.