Deep Dive into Our Technology

The Science Behind FranTechAI

Discover how we combine Francesco Tonolo's decade of biotech expertise with cutting-edge AI to create the world's most advanced plant science advisory platform.

Three Pillars of Innovation

Our platform is built on three foundational technologies that work together to deliver expert-level insights.

Cognitive Architecture

Our proprietary expert scientist's cognitive architecture is designed for problem-solving, creating layered reasoning that goes far beyond simple question-answering.

Multi-step reasoning chains
Hypothesis generation & testing
Confidence scoring & uncertainty quantification
Multimodal RAG + Memory

Advanced Retrieval-Augmented Generation processes text, images, and data files while maintaining long-term memory of your research context.

Scientific literature integration
Image & document analysis
Persistent project memory
Human-AI Collaboration

Direct access to Francesco for verification, strategic guidance, and insights that only human expertise can provide.

Monthly strategy calls
Expert verification of AI outputs
Bespoke research guidance

Why Now? AI Performance Finally Justifies Commercial Use

Frontier AI models recently crossed the "expert-competent reasoning" threshold on GPQA tests, a graduate-level STEM benchmark where PhD experts scored 65–74% in their own domain.

GPQA Test Highlights:

• Graduate-level biology, chemistry, and physics questions

• PhDs had full internet access and 30+ min per answer

• PhD were paid 100-150$ per hour

Model/Expert TypeGPQA ScorePerformance Level
PhD (outside domain)34%Baseline
PhD (in domain)65-74%Expert Level
FranTechAI the Analyst83%Super-Expert
FranTechAI the Strategist83.8%Super-Expert
FranTechAI the Researcher87.5%Super-Expert

Note: GPQA tests logic and reasoning, not creativity, experience, or real-world lab intuition. But when paired with human expertise, AI can dramatically amplify results.

Research Methodology

Our AI doesn't just provide answers—it follows a rigorous scientific methodology that mirrors how expert researchers approach complex problems.

1

Problem Decomposition

Break complex situations into manageable research questions

2

Literature Analysis

Comprehensive review of relevant scientific literature

3

Plan Formation

Generate a plan based on available evidence to tackle the issue at hand

4

Execute plan

Help you with documentation, code, statistics, prompts, strategy implementation

5

Analyze results

Analyze the results/outcomes, break it down to simple take aways and identify areas of improvements

Research Methodology Workflow

Ready to Experience the Future of Plant Science Research?

Join researchers, cultivators, and investors who are already using FranTechAI to accelerate their discoveries.