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GTL Korea · D-Engine · Early Access
Turning Science, Engineering, and DeepTech Assets into Commercializable Intelligence.
SCIENGeer™ is an AI-enabled DeepTech commercialization platform operated as GTL’s D-Engine (DeepTech company-building engine), delivering the R2C (Research-to-Company) Program in Early Access (pilot operation).
SCIENGeer connects scientists, engineers, researchers, technology owners, corporate demand, investors, and public stakeholders into a commercialization flow that helps research outcomes and technology assets move toward IP, PoC, co-development, funding, global expansion, and exit potential.
Lab-to-Market Flow
LAB
IP
PoC / MVP
MARKET
Capital
Exit
Platform layers
TalentTech AssetsGTL-CISSmart MatchingVenture Design
Problem
Korea has strong R&D output, but lacks an execution platform for DeepTech commercialization.
R&D outcomes stranded
Many papers, patents, and research outcomes remain internal assets without moving into markets or capital pathways.
Insufficient IP strategy
DeepTech commercialization requires not only technical capability, but also IP protection, licensing, FTO, and trade-secret strategy.
Fragmented ecosystem
Researchers, corporate demand, investors, technical experts, and public institutions often operate in fragmented ecosystems.
Missing execution PMO
Ideas and technologies exist, but execution PMO for PoC, MVP, investment, co-development, and global expansion is often missing.
Solution SCIENGeer connects talent, technology, IP, market demand,
SCIENGeer connects talent, technology, IP, market demand,
and capital into one commercialization flow.
Talent Technology / IP Market Demand Capital / Partners Venture · Exit Pathway
SCIENGeer is not only a talent network — it is a commercialization operating platform.
Platform Architecture
SCIENGeer 6-Layer Platform Architecture
From lab to market — six commercialization operating layers.
L1 S&E Talent Network
Structures the expertise, track record, and collaboration potential of scientists, engineers, researchers, technologists, and founder candidates.
Role: Organizes human assets from a commercialization perspective.
Target users: Scientists · Engineers · Researchers · Technologists
Example output: Structured talent profiles
L2 Tech Assets DB
Organizes patents, papers, white papers, TRL/IRL, application domains, and technical materials into commercialization-ready asset units.
Role: Structures technology into reviewable asset units.
Target users: Technology owners · Labs · TLOs
Example output: Technology asset cards / data
L3 GTL-CIS™
Pre-assesses the commercialization potential of talent, technology, and teams, based on HERMES-K™ and ATHENA-K™.
Role: Recommends program pathways.
Target users: All participants
Example output: CIS score · program recommendation
L4 Smart Matching Engine
Connects talent, technology, corporate demand, investors, experts, and partners by purpose.
Role: Performs purpose-based matching.
Target users: All participants
Example output: Match candidates · connections
L5 Venture Design System
Designs business models, MVP, PoC, IR, fundraising, co-development, and exit pathways.
Role: Designs commercialization execution.
Target users: Venture teams · Corporates
Example output: Commercialization design · IR
L6 Legal / IP Toolkit
Safely prepares NDA, MOU, co-development, IP ownership, revenue sharing, and licensing structures.
Role: Prepares rights and contract structures.
Target users: All participants
Example output: Contract · IP structure templates
GTL-CIS™
GTL-CIS™ — Commercialization Intelligence Scoring Engine
GTL-CIS™ is a pre-assessment system that reviews talent, technology, IP, team readiness, market demand, and collaboration potential to recommend appropriate SCIENGeer program pathways. Detailed formulas and weighting rules are not publicly disclosed, and results do not guarantee investment, support, or commercialization success.
GTL-CIS™ is a pre-assessment system for recommending program pathways and does not guarantee investment, public support, technology transfer, or commercialization success. Detailed formulas and weights are confidential, and results are reviewed by human experts.
Request Pre-AssessmentHERMES-K™
Talent & capability profiling
ATHENA-K™
Technology & commercialization scoring
CIS Score
Composite commercialization indicator
Program Matching
Program pathway recommendation
Expert Review
Human expert review
Input categories
TalentTechnologyIPTeam readinessMarket demandCollaboration potential
How It Works
Register → Assess → Match → Collaborate → Fund → Scale / Exit
01 Register
Register talent, technology, corporate challenge, or investor interest.
Key input: Profile / tech summary / challenge / interest
Expected output: Structured registration
02 Assess
Run the GTL-CIS preliminary review.
Key input: Registration
Expected output: CIS preliminary review
03 Match
Map talent–tech–corporate–investor candidates.
Key input: CIS result
Expected output: Match candidates
04 Collaborate
Set NDA, project scope, and PoC planning.
Key input: Match
Expected output: NDA · PoC plan
05 Fund
Connect investor / CVC / strategic capital.
Key input: PoC · IR
Expected output: Capital connection
06 Scale / Exit
Pursue licensing, JV, spin-off, sale, and global expansion.
Key input: Business traction
Expected output: Scale · exit candidate
Program Tracks
Four program tracks
IP Venture Track
Target: Researchers · universities · labs · TLOs · patent owners
Connects patents, papers, and original technology to rights, analysis, licensing, technology transfer, and IP-based venture/exit potential.
Required input: Patent / paper / original tech
Tech Venture Track
Target: MVP teams · engineers · deeptech startups
Converts technology into business through MVP, PoC, market validation, productization, fundraising, and co-development.
Required input: MVP / technology / team
Corporate Challenge
Target: Corporates · manufacturers · public institutions
Connects corporate technology demand and problem definitions to the SCIENGeer talent, technology, and expert network.
Required input: Tech demand / problem
Investor / Partner Program
Target: VC · CVC · strategic investors · public finance · ecosystem partners
Provides reviewable DeepTech deal flow, CIS-based candidates, co-diligence, and partnership opportunities.
Required input: Interest area / stage
Apply
Start your application
Choose the entry point that fits your purpose.
We recommend submitting detailed technical materials only after an NDA is in place. At this stage, please submit only non-confidential summary information.
Apply as Talent
Register Technology
Submit Corporate Challenge
Investor / Partner Inquiry
Ecosystem
SCIENGeer Ecosystem
Category-based partner ecosystem (real logos published only when approved).
Universities / Labs
TLOs / Tech Holdings
Corporates / Manufacturers
Investors / CVCs
Government / Public Institutions
Experts / Advisors
Global Partners
Security / IP Protection
Built around IP and confidentiality protection.
- Separation of public summary and confidential attachments
- NDA before detailed disclosure
- Submitter rights confirmation
- Role-based review
- Access logging in a future phase
- No guarantee of investment / support
Insights
Knowledge Hub
02
Conditions for Scientist-Engineer Co-Founding
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Why GTL-CIS Matters in DeepTech Commercialization
Register your talent, technology, or challenge with SCIENGeer.
Information regarding SCIENGeer™ and GTL-CIS™ is provided for general platform and program guidance only. Pre-assessment, matching, or program participation does not guarantee investment, public support, technology transfer, commercialization success, exit, revenue, certification, or partnership execution. Submitted technology materials and personal information should be separated into public and confidential information, and detailed confidential materials should be submitted only after an NDA is in place.