The Dream Ventures

TECHNOLOGY

Technology

Data into knowledge, knowledge into action. We own and develop the core technologies AX/DX needs, from standardizing and structuring company data to work automation, AI agent execution and existing system integration.

CHANGE

What our core technology changes

Not general-purpose AI, but AI that understands your company and does its work. We build Enterprise AI.

  • Work efficiency

    Automates repetitive work so people can focus on higher-value work.

  • Data-driven decisions

    Fast, sound judgment based on accurate data and evidence.

  • An expert-level AI colleague

    A tailored AI agent that understands your company works alongside you.

  • Lasting growth

    Creates new business opportunities through data, AI and people working together.

DREAM-AX

Technology stack

Enterprise AI connected end to end from data to execution. From the bottom up, company data becomes knowledge, knowledge becomes executed work, and people approve at the end. The AI Integrated Support Platform is built on this structure.

What users getRecommendations · document drafts · matching · project ideas · work automation

  1. Trust · governance · human reviewTrusted AI combining human approval with security and quality management
  2. Agent orchestration + system integrationAI that decides and acts through existing systemsWork executed through task graphs and agent orchestration
  3. Task graph + multi AI agentsAI that understands work, splits it and collaboratesCompany diagnosis · support program search · business plan writing · R&D design · investor matching · partner matching · public tech & patents · bids · AX/DX agents
  4. Knowledge graph + hybrid RAGAI that understands the company and finds evidenceEnterprise knowledge graph + vector DB, Hybrid RAG
  5. Data intelligenceCollection · cleaning · standardization · quality control
  6. Company dataERP · MES · CRM · documents · equipment data · external dataERP · CRM · documents · finance · patents · projects · support history

Applied to: management · sales · marketing · R&D · production · quality · finance · HR · investment · global

CORE TECH

8 core technologies

What each technology does and what it changes.

  • 01Enterprise Data Intelligence

    Turns scattered data into assets AI can use

    Collecting, cleaning and standardizing company data from ERP, MES, CRM and documents, and extracting entities
  • 02Enterprise Knowledge Graph

    AI that understands your company

    Structures the relationships among companies, customers, products, technologies, patents, businesses and people
  • 03Hybrid RAG

    Fewer hallucinations; answers and analysis grounded in evidence

    Knowledge graph + vector DB + search, evidence and sources combined
  • 04Task Graph

    Turns complex company work into AI execution steps

    Structures work into tasks, order, conditions and dependencies
  • 05Multi AI Agent

    Automates specialist work in management, R&D, sales, production and more

    Role sharing and collaboration among task-specific agents
  • 06Agent Orchestration

    Connects multiple AIs to carry work from start to finish

    Agent and tool routing, state management, execution control, failure recovery
  • 07Enterprise AI Integration

    Connects AI to existing systems to run real work

    ERP, MES, CRM and groupware integration via API, MCP and DB connectors
  • 08AI Trust & Governance

    A trustworthy AI environment companies can rely on

    Access control, secure data room, personal data masking, audit logs, human review

PATENTS

8 patent applications

AI agent-based business support technologies, filed with KIPO in July 2026.

  • Company information structuring2

    • Integrated support using an enterprise knowledge graph and multiple AI agents

      Links scattered company materials into a graph so many tasks share the same information.

    • Agent orchestration based on task graphs and evidence packages

      Splits work into tasks, assigns them to agents, and keeps the evidence behind each decision.

  • Search and matching2

    • Hybrid matching weighted by data quality scores, with explanations

      Scores data reliability, reflects it in matching, and explains why each result was chosen.

    • Public technology recommendation and matching based on demand and supply profiles

      Compares company needs with available technologies to pick usable public technologies.

  • Document writing and review2

    • Patent creation support using invention element–effect mapping

      Pairs invention elements with their effects to support prior-art review and specification drafts.

    • Contract review support with clause-level risk scoring and missing or conflicting clause detection

      Rates the risk of each contract clause and finds missing or conflicting clauses.

  • Consultation and security2

    • Consultation support with speech recognition correction and sensitive data masking

      Corrects consultation transcripts and masks personal and sensitive information.

    • Secure data room and role-based expert handover packages

      Keeps materials in a secure data room and passes only what each expert role needs.

TRUST

Trust principles

  • Evidence and sources in every answer
  • Important documents get a final human review
  • Per-company access control and sensitive data masking
  • Change history and quality evaluation logs

Validate with your own company data first

You can start with a proof of concept on one task chosen in the diagnosis.