01
The Problem
Data scattered across software/servers in heterogeneous formats; provenance is hard to track, wasting time and money.
Timeline demonstrating how MAAP accelerates reproducibility.
From Problem to Pipeline
02
The Solution
MAAP connects to existing lab systems via APIs, standardizes (meta)data, and keeps it secure and reusable so you focus on research.
03
Example
Academic pilots show faster retrieval, fewer repeats, and cleaner lineage for downstream analysis.
04
FAIR‑by‑Design Architecture
API-first, JSON-LD, RBAC, auditability, export recipes.
05
Pipeline Overview
Capture → Standardize → Validate → Export → Reuse.
