Technology Scouting
Professional technology evaluation to support your investment decisions
Technology Scouting
Startup Discovery & Technical Due Diligence for VC/CVC
Professional technology evaluation to support your investment decisions.
For VC and CVC investment professionals, deep tech investment decisions require specialized technical expertise that's difficult to maintain in-house. Our Technology Scouting service provides end-to-end support for technology evaluation—from discovering promising startups in specific technology domains, conducting technical due diligence, to creating investment candidate shortlists.
For VCs and CVCs Facing These Challenges
- Need comprehensive lists of promising startups in target technology areas
- Want objective evaluation of technical differentiation and feasibility
- Need technical due diligence on investment candidates
- Looking to deep-dive into specific investment themes (nuclear fusion, quantum, robotics, etc.)
- Want to evaluate collaboration potential from a technical perspective (CVC)
- Need intelligence on promising international startups
Scouting Process (5 Steps)
Investment Theme & Criteria Definition
Target technology domain, investment stage, geography, evaluation criteria clarification
Long-list Development
Global database research, 50-100 company long-list creation
Screening & Evaluation
Technical, team, and funding evaluation screening
Shortlist Creation
10-20 promising candidate shortlist with detailed profiles
Report & Briefing
Research report delivery, investment team briefing, Q&A session
Focus Research Areas
Energy Tech
Nuclear fusion, next-gen batteries, hydrogen, renewables
AI & Computing
Generative AI, quantum computing, edge AI
Robotics
Humanoids, AMRs, industrial robots
PropTech
Real estate tech, smart buildings, construction DX
HealthTech
Digital health, medical AI, drug discovery
Mobility
Autonomous driving, eVTOL, EV technologies
Research Theme Example: Generative AI & LLM
Our expert team with hands-on AI experience delivers deep-dive research for VC/CVC investment decisions.
Model Performance Analysis
- Technical comparison between domestic and international LLMs
- Parameter scale vs. inference performance correlation
- Fine-tuning vs. scratch development trade-offs
Cost & Business Viability
- LLM development investment requirements (compute, talent, data)
- Inference cost and infrastructure analysis
- Sustainable business model requirements
Training & Data Strategy
- Technical factors affecting training duration
- Industry-specific model development approaches
- Data preprocessing and structuring trends
Market & Player Mapping
- Comprehensive mapping and classification of LLM players
- Technical approach and business model comparison
- Value chain positioning and competitive landscape
Use Cases & Market Opportunity
- Industry-specific deployment cases and success factors
- Enterprise market needs and challenges
- Market expansion scenarios and investment opportunities
Evaluation & Benchmarks
- Major benchmark tests and evaluation criteria
- Objectivity assessment of proprietary benchmarks
- Practical evaluation metric priorities
Project Duration Guide
| Service Type | Duration | Example Scope |
|---|---|---|
| Spot Scouting | 3-4 weeks | 30 startups in specific domain + overview profiles |
| Thematic Deep Dive | 6-8 weeks | 100 company long-list → 15 company shortlist + detailed evaluation + market map |
| Technical DD | 4-6 weeks | Technical due diligence on 1-3 investment candidates + evaluation report |
| Annual Retainer | 12 months | Monthly technology trend updates + spot research (4x per year) |
Why Qualiteg
Deep Tech Expertise
Our team includes senior technical researchers with 20+ years of IT/AI experience, consultants specializing in deep tech and emerging technologies, and industry experts. We provide technology evaluations that truly understand the substance, not just surface-level analysis.
Practitioner's Perspective
As an AI technology company building our own products, we evaluate technology feasibility and scalability from a practitioner's viewpoint. We can accurately assess "impressive technology but difficult to commercialize" scenarios.
Silicon Valley Connection
Our team lead is based in San Francisco with direct connections to the Silicon Valley startup ecosystem. We deliver first-hand insights on the latest trends and promising startups that are difficult to access from Japan.
CONTACT
Contact Us
For questions or consultations about Research & Intelligence,
please feel free to contact us.