GLOBAL INTENT COMPANY
Interactive technical environment for machine learning, scientific instrumentation, computational systems, experiments, and project evidence.
Developed independently by founder and researcher Cory Tortorici. Source code, controlled experiments, null results, architectural iterations, and public research logs are made inspectable across all project nodes.
LATEST FROM THE LAB
Recent empirical findings, architectural iterations, and null results surfaced directly from active research logs.
Active laboratory research log entries with timestamped records are available in the full research log.
EXPLORE THE RESEARCH
Navigate the connected network of research projects, architectural pipelines, and domain clusters in real-time 3D.
Evidence Vault
Preserves scientific evidence together with its experimental, assay, and bibliographic context rather than reducing heterogeneous evidence to isolated scalar values.
Structural Overview
A typed property graph that explicitly links chemical compounds through granular assay measurements to biological protein targets and parent publications. Scalar numbers are never stored in isolation.
Design Invariants & Principles
Sequential Pipeline & Processing Stages
SMILES, InChIKey, formula, and stereochemical identifiers.
Value, endpoint (Ki, IC50, Kd), unit (nM, µM), operator (<, =, >), and error bounds.
Assay type, cell line, pH, temperature, and detection methodology.
UniProt identifier, gene symbol, organism, and sequence coordinates.
DOI, PubMed ID, authors, journal, and retrieval timestamp.