Industry pipelines
Each pipeline ingests, normalizes, and serves industry-specific data on top of the 3IT core. Applications are built on pipelines — not on raw data sources.
Healthcare
Computational ethnopharmacology & clinical AI
40+ source databases — HERB, TCMBank, STRING, ChEMBL, Reactome and more — normalized into a unified knowledge graph spanning traditional medicine systems and modern pharmacology.
Data coverage
- + 151K plants · 768K compounds · 2.5M bioactivities
- + 1.26M compound–protein interactions · 2.1M STRING PPI edges
- + 24.4M literature links · SPDX-normalized licensing
- + Ayurveda · TCM · Unani · Siddha traditions
Applications
Security
Scan execution & evidence attestation
Sandboxed scan execution with tamper-evident evidence capture. The pipeline records the exact command, flags, timing, and output — then binds them into a cryptographic chain your auditor can independently verify.
Pipeline components
- + Rust + tokio + Axum API · Leptos UI · NATS job queue
- + bwrap-sandboxed nmap on Kali VM
- + Command record + scan digest + runner attestation chain
- + SOC2 CC7.1 · PCI DSS 4.0 · HIPAA · CMMC L2 evidence export
Applications
Business / EdTech
Business model intelligence & K-12 CTE
Business Model Canvas methodology paired with accelerator validation data (gBETA, CIL) and K-12 Career & Technical Education program data. Autonomous AI agents continuously optimize the canvas blocks.
Pipeline components
- + BMC methodology — 9-block canvas data model
- + Accelerator pilot data (gBETA Charlotte, CIL)
- + K-12 CTE channel data
Applications
Agriculture
Field intelligence & crop advisory
BlueAgri instance running the GreenField pipeline — ingests crop survey data, computes yield indices, and produces field-level risk profiles via a Bronze→Silver→Gold ETL chain.
- + CSV file-drop ingest · Polars transform · DuckDB Gold
- + Agriculture domain tokens registered (EPPO, species, crop, cultivar)
- ~ GreenField — live instance, real data source next