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Mindlogic

RAG-driven chatbot platform (FactChat) offering multi-LLM integration, on-premise options, persona memory, and voice/ARS
8.0
Rating
₩99000/month
Price
8
Key Features

Overview

Mindlogic provides a retrieval-augmented generation (RAG) chatbot platform marketed under FactChat and related product pages. The platform emphasizes accuracy through Query Reformulation, Multi-Query Decomposition, a Hybrid Search engine, and Search Result Evaluation that validate answers against organizational data. It supports a multi-LLM architecture (examples mentioned: ChatGPT, Claude, Gemini, LLaMA) so customers can choose models by performance and cost. An on-premise LLM deployment option is available for customers with strict data governance. Data handling for RAG indexes uses original text, embeddings, and metadata; Mindlogic describes isolation/protection of user data and storage of RAG indexes in Mindlogic Cloud with security layers, while offering on-premise deployment for tighter control. Persona capabilities ("Persona Grounding") and a long-term memory feature ("Heart-to-Heart") are highlighted for persistent, persona-driven conversations. The platform also provides Voice Conversation Mode and ARS for phone-like conversational fidelity. Use cases listed include multilingual website assistants, fan/persona bots, customer support, lead capture and conversion, and higher-education deployments (example: FactChat rollout at Sogang University). Documentation and plugin guidance are available via the docs hub, and terms/legal documents are hosted on the chatapi subdomain.

Details

Developer
mindlogic.ai
Launch Year
Free Trial
Yes
Updated
2025-12-07

Features

RAG-focused workflow

Emphasizes accuracy via Query Reformulation, Multi-Query Decomposition, Hybrid Search, and Search Result Evaluation against organizational data.

Multi-LLM architecture

Supports integrating multiple LLMs (examples cited: ChatGPT, Claude, Gemini, LLaMA) so customers can select models by performance and cost.

On-premise LLM option

Offers on-premise deployment for customers with strict data governance to reduce data leakage risk.

RAG data handling

Uses original text, embeddings, and metadata for RAG indexing; indexes can be stored in Mindlogic Cloud with security layers or kept on-premise.

Persona Grounding

Creates vivid persona-based chats defining tone, voice, values, and experiences for tailored conversational persona.

Heart-to-Heart memory

Long-term memory that retains previous conversations to guide ongoing relationships and context.

Screenshots

Mindlogic Screenshot
Mindlogic Screenshot
Mindlogic Screenshot

Pricing

Trial
Free

Free 14-day trial with limited responses and members.

  • Free 14-day trial
  • 100 basic AI responses / month (during trial)
  • 1 basic chatbot
  • Up to 3 members
  • Cannot customize chat window design
Pro
₩99000/mo

Startup / small business tier with moderate usage and member limits.

  • 2,000 basic AI responses / month
  • 5 basic chatbots
  • Up to 10 members
  • Listed price: ₩99,000 / month
Premium
₩1000000/mo

Enterprise tier with large response allowance and no member limit.

  • 25,000 basic AI responses / month
  • 5 basic chatbots
  • Unlimited members
  • Listed price: ₩1,000,000 / month

Pros & Cons

Pros

  • RAG-focused architecture with multiple accuracy validation steps
  • Multi-LLM support allowing model choice by performance/cost
  • On-premise deployment option for stricter data governance
  • Persona grounding and long-term memory features for richer conversational experiences
  • Voice/telephony capabilities (Voice Conversation Mode + ARS)
  • Documentation and plugin guides available

Cons

  • Trial is limited: 100 responses/month, 1 chatbot, up to 3 members, and no chat window customization
  • Enterprise pricing and higher-volume quotes require contacting sales (pricing policy notes contact for enterprise)
  • RAG indexes are described as stored in Mindlogic Cloud by default (on-premise available but may require enterprise engagement)

Compare with Alternatives

FeatureMindlogicChat DataCohere Chat
Pricing₩99000/month$7/monthN/A
Rating8.0/108.3/108.2/10
RAG WorkflowYesYesYes
Multi-LLM FlexibilityYesPartialNo
On-Prem OptionsYesNoYes
Persona MemoryYesPartialPartial
Voice & TelephonyYesYesNo
Enterprise CompliancePartialYesYes
Integration & OrchestrationYesYesYes

Audience

Startups / small businessesEvaluate Pro tier for moderate responses, small team collaboration, and limited bots.
EnterprisesRequest enterprise/on-premise evaluation, security specs, and custom quote for larger SLAs.
Higher educationDeploy FactChat for campus information access and AI adoption across university services.
Developers / integratorsReview plugin docs to understand integration options, prompting guidance, and cost-saving strategies.

Tags

RAGretrieval-augmented-generationchatbotFactChatmulti-LLMon-premisepersona-groundinglong-term-memoryvoicetelephonyeducationenterprise