Science
Available
PE
Prof. Elena Marchetti
Plasma Physics
ETH Zürich
H-index
h-72
Trust
94
Pre-Seed · Confidential Investor Brief · 2026
The future is computed by machines.
And verified by people.
Super Science AI — a global hybrid hub for scientific, technical and financial verification of DeepTech projects: hydrogen, plasma, cryogenics, biotech. Six specialized AI cores plus a network of experts from Top-200 universities and the world's leading industrial corporations.
$250B+
GreenTech market 2026
6
Parallel AI cores
Top-200
Universities worldwide
360°
Audit in minutes
SCROLL ↓
§01 · Problem
The barrier between an idea and its execution
In 2026 the world is saturated with "smart" chatbots, but for serious science and DeepTech investing they are not enough. Venture funds, corporations and government bodies need a tool they can trust with hundred-million-dollar decisions.
01
LLM hallucinations
General-purpose models invent chemical formulas and confuse physical constants. In DeepTech that is fatal.
02
No domain depth
Generic AIs have no access to closed scientific databases, patents and specific market data.
03
Theory ↔ practice gap
A project flawless on paper is impossible at a real plant. The price of the illusion — hundreds of millions.
04
Cost of error
In industries with $100M+ CAPEX a single wrong number wipes the project's economics.
§02 · Technology
Hybrid Intelligence 6+
A single input line launches six specialized AI cores in parallel. The Master Reasoning Layer powered by Gemini / Claude assembles the data into a unified analytical report with every figure traceable to its source.
Science01
Iris.ai
Patent and technological novelty analysis
Live
Science02
ChemCopilot / Aspen
Thermodynamics, chemical yields
Live
Science03
scite.ai
Verification through scientific publications
Live
Finance04
AlphaSense
Market potential and competitive landscape
Live
Finance05
Causal
Dynamic financial modeling
Live
Finance06
Paces.ai
ESG, environmental taxes, infrastructure
Live
Master Reasoning Layer
Six streams synthesized into one report
Final conclusion stamped "AI-Verified" and "Expert-Confirmed". Every number is clickable down to its source — paper, patent, market report.
01
02
03
04
05
06
↓ Synthesis ↓
Investment Memo
§03 · Expert Hub
Theory. Practice. One click away.
A database of Top-200 universities and the largest industrial experts. Scientists from MIT, Stanford, ETH, KPI Igor Sikorsky. Engineers with field experience at Shell, BP, Siemens, Equinor. Direct contact, verified publications, one-click consultation payment.
Practice
Available
JO
James O'Connor
Chief Engineer
Shell · LNG Terminals
Experience
22 yrs
Trust
91
Science
Available
DH
Dr. Hiroshi Tanaka
Hydrogen Catalysis
MIT
H-index
h-58
Trust
89
Practice
Available
ML
Maria Lindqvist
Project Director
Equinor · Cryogenics
Experience
18 yrs
Trust
93
Data Sourcing
QS World University Rankings · OpenAlex · Scopus · ORCID · Industrial Info Resources · European Hydrogen Observatory · ExpertFile · LinkedIn API. Relationship graph in Neo4j, user data in PostgreSQL, infrastructure on AWS / GCP with end-to-end IP encryption.
§04 · Commercial potential
Infrastructure for the global knowledge economy
$250B+
GreenTech & Renewables, 2026
EU, US (IRA), China — capital looking for verified DeepTech projects
$200–500K
Cost of technical DD today
Months of consultant work → days on our platform
3
Revenue streams
SaaS · Marketplace fee · Service fee for investment opinions
Target segments
- →Venture funds (Series A — Growth)
- →Corporate R&D and M&A teams
- →State development banks
- →DeepTech startups and research teams
Defensive moat
- ◆Exclusive expert network beyond LinkedIn
- ◆Science↔industry graph in Neo4j
- ◆Cross-check between AI and humans
- ◆Transparency: every figure ↦ source
§05 · Roadmap
From MVP to global infrastructure
Phase 1 · 3–4 mo
MVP
- 01Single input UI with 6 windows
- 01Integration with scite.ai + Causal
- 01Database of 500 QS universities
- 01Auth, Stripe, PDF teasers
Phase 2 · 6 mo
Expert Hub
- 02Onboarding first 200 experts
- 02OpenAlex + ORCID auto-import
- 02Marketplace, calendar, chat
- 02Trust Score algorithm
Phase 3 · 12 mo
Full 6+
- 03All 6 commercial AI core APIs
- 03Master Reasoning on enterprise LLM
- 03Neo4j relationship graph
- 03SOC2, IP encryption
Phase 4 · 18+ mo
Scale
- 04Expansion to biotech and space
- 04B2G contracts with development banks
- 04Own fine-tuned models
- 04Series A → Growth
Investor Access · Confidential
Request the full investment memorandum
Pre-seed round closes in Q3 2026. Limited circle of focused DeepTech / Climate-fund investors. Financial model, technical DD, expert pipeline — under NDA.
Audio Brief
Listen to the audio presentation
A spoken overview of Super Science AI — the vision, the technology and the opportunity.