PhD Research · Université de Sherbrooke

Heraclitus Intelligence Platform

Bioenergy & Sustainable Technologies · Data Analysis System

Coming soon ! We are in the final developing phase for a structured intelligence system for evaluating green technology development — assembling commercial timelines, R&D portfolios, economic assessments and sustainability data that has never been read together.

50+
Technology developers
with interactive timelines
150+
Commercial projects
by process family
>300k
R&D projects indexed
(BETO, NSF, CORDIS…)
Functional Modules

Historical Timelines

Capex, capacity, yield, operating hours, funding — per developer and project, across technology families.

R&D Database Explorer

Filter and link BETO, NSF, GREET, CORDIS projects to core database entities with AI-assisted annotation.

Auto-Synthesis Reports

Tables and charts on critical variables and R&D funding by process type, updated as data is added.

Flexible Data Infrastructure

Entities — process, feedstock, tech provider, economics — linked in a relational Django/Python framework.

AI Annotation Pipeline

Batch-fill context texts and annotate R&D projects at scale using LLM assistance (Claude, Deepseek, OpenAI).

Geospatial Analysis

Feedstock availability, land use change assessment, iLUC benchmarking with TRASE and CORSIA data.

Writing

Analysis and essays on green technology development, R&D strategy, and what structured data reveals. All posts →