For DeeptechZEROCK for Deeptech
Patents, papers, technical docs.
AI unifies your R&D
knowledge foundation
Upload your patent PDFs, papers, and experimental data. AI knowledge graph technology (GraphRAG) auto-structures everything. Reduce Series A/B tech DD prep from 3 days to 3 hours. We never train models on your data. SOC2 Type II · AES-256 · APPI compliant.
R&D Challenges Facing Deeptech
Patent searches require manually cross-referencing J-PlatPat, Google Patents, and Espacenet, taking 2 weeks per investigation
No unified search across arXiv, PubMed, IEEE databases means missing competitive research developments
3 years of experimental know-how scattered across Slack history and local PCs. A single key researcher's departure makes protocol reproduction impossible
Creating technical due diligence materials for investors takes 3+ days each time, consuming research hours
Outsourcing FTO (Freedom to Operate) analysis to patent attorneys costs millions of yen and weeks of time
81%
Of deeptech entrepreneurs who feel investors cannot properly understand the value of their technology
Source: INITIAL Deeptech Investment Report 2024
6 AI Features That Accelerate R&D
Patent Landscape Analysis
Bulk upload patent gazette documents (PDF, CSV, XML) from J-PlatPat, Google Patents, and Espacenet. AI knowledge graph technology (GraphRAG) auto-maps filing trends, competitive dynamics, and whitespace—understanding technical relationships between claims, not just keywords. Results exportable in CSV and PDF.
Cross-Database Paper Search
Upload paper PDFs or specify DOI/URLs to build your paper library. AI visualizes citation networks, author relationships, and research trends. Auto-monitor competitors with new paper alerts from arXiv, PubMed, and more. Cross-search across imported papers is AI-powered.
Dev Mode: Advanced Analysis
Built-in Python execution environment with NumPy, pandas, scikit-learn, SciPy, matplotlib pre-installed. Run multivariate analysis, patent claim clustering, and auto-generate technology matrices interactively. Code can be saved and shared as team analysis assets. On deletion, all code, analysis results, and source data are completely purged within 7 days (deletion certificate issued). IP rights to generated code belong to the customer.
R&D Knowledge Base
Structure lab notebooks, protocols, failure cases, and parameter insights with GraphRAG. Get instant answer candidates for "What conditions made that experiment work?" APPI-compliant data management. Knowledge stays in the organization after researcher turnover. Data deletable within 7 days (deletion certificate issued).
Tech DD Auto-Generation
Auto-compile patent portfolios, technology roadmaps, and competitive analysis into presentation materials. Visualize technology value in investor-friendly formats before VC/CVC meetings.
FTO Analysis Support
AI compares your technology against existing patent claims, auto-detecting potentially conflicting patents and suggesting design-around directions. Use as initial screening before engaging patent attorneys, dramatically reducing costs. Designed with the assumption that final decisions are always made by patent attorneys and IP specialists.
Agent Mode × Dev Mode in R&D Scenarios
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Before and After Implementation
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| BEFORE / AFTER | Before | After | Result | |
|---|---|---|---|---|
| Patent research | 2 weeks | 2 hours (initial screening) | 95% shorter | |
| Paper survey | 1 week | 1 day | 80% shorter | |
| Tech DD materials | 3 days | 3 hours | 96% shorter | |
| FTO screening | ¥2M outsourced | In-house pre-analysis | 90% reduction | |
| Experiment analysis | Half day (Excel) | 10 min (Dev Mode) | 97% shorter | |
| R&D knowledge search | Ask senior (unavailable off-hours) | 24/7 instant answers | No more silos |
Deeptech Implementation Results
Materials Startup (25 employees)
25 employees, 15 researchers, 12 patents
During Series A preparation, we were manually researching competitor patent landscapes for 2 weeks. ZEROCK delivers equivalent or better analysis in 2 hours. White space identification accuracy improved, allowing us to significantly revise our filing strategy. The Dev Mode graphs in investor presentations are a huge advantage.
— CTO
Before
2-week patent researchAfter
Complete in 2 hoursBiotech Company (40 employees)
40 employees, 20 R&D, 15 papers/year
Checking PubMed and arXiv daily was every researcher's morning routine, but ZEROCK now auto-curates relevant papers. The citation network analysis helped us discover important research groups early, which was a game-changer.
— R&D Director
Before
5 hrs/person/weekAfter
1 hr/person/weekCVC Fund (15-member team)
15 team members, 8 investors, 20+ DDs/year
In deeptech investing, reading patents and papers takes the most time during technical DD. ZEROCK lets us instantly visualize a prospect's technology portfolio, dramatically improving both DD quality and speed. Investment decision accuracy has improved as well.
— Partner
Before
2-month DD periodAfter
Complete in 3 weeksDeeptech ROI Simulation
Monthly cost reduction for a startup with 5 researchers
Current Monthly Cost
* Calculated at ¥6,000/hr × 5 researchers (custom estimates available for your team size)
After ZEROCK
140 hours + ¥180K/month saved
ZEROCK費用
¥200,000* Includes implementation support, data migration, and ongoing support. No hidden fees
Monthly cost savings
¥880,000
ROI 340%
Payback period: ~2 months
More Ways to Use ZEROCK
AI活用準備度診断
10問・3分で、貴社のAI導入準備状況を可視化
Preparing for Series A/B,
gain an edge with a patent analysis demo
In a 30-minute online demo, we generate a patent landscape for your technology domain. A dedicated consultant with technical background will guide you. After the demo: 2-week free trial → contract.