About
Auditable AI for Regulated Industries
Founded on 26+ years of enterprise experience across the US, Australia, and China.
What we do
DATAP.AI is an AI intelligence platform designed for industries where governance, auditability, and compliance are not optional. We unify data, analytics, AI, and customer intelligence into a single auditable stack — replacing fragmented tools with one platform that regulated organisations can trust.
The problem
Fragmented data
Critical data scattered across systems with no single source of truth.
No AI governance
AI adoption growing but no audit trail or decision transparency.
Auditability gap
Regulated industries require traceability. Most AI tools treat it as an afterthought.
Disconnected customer intelligence
CRM, analytics, and AI operate in separate silos.
Four Intelligence Platform
Each layer solves a specific enterprise pain point.
DI
Data Intelligence
Solves: Fragmented data
Unified data layer. Immutable audit trail on S3 Parquet.
BI
Business Intelligence
Solves: Disconnected analytics
Live dashboards. Text-to-SQL across 8 languages.
AI
Artificial Intelligence
Solves: No governance
Multi-agent LLM orchestration. Every decision logged.
CI
Customer Intelligence
Solves: Siloed CRM
CRM-backed AI chatbot. Every conversation persisted.
Live verticals
Target industries
Our team
Engineers, data scientists, and AI agents collaborating to build auditable AI for regulated industries.
Donny Zhao
Founder, CEO & Chief Architect
20+ years of ETL, data integration, and cloud digital transformation. Designed and built the modern data stacks at CMC Markets and ASX end-to-end. Multi-certified database, big-data and ML engineer.
Roy Shetty
Data Scientist
Master's in IT with specialisation in AI and data science (UNSW). Teaching assistant in computer science.
Dandan Cui
Data Scientist
PhD (UNSW). Specialist in machine learning and statistical modelling.
Lokesh Ramina
Data Engineer
Master's in computer science. 5 years across electronics, software and robotics. Built multiple teaching tools for students.
Luis Chuquimia
DataOps
20+ years of IT experience across diverse industries. Combines deep technical expertise with enterprise architecture strategy.
Donald Wen
Data Architect
Master's in computer science. Head of data, enterprise architect, BI architect and data scientist.
Mei Liu
Data Analyst
PhD (UNSW). Exploratory data analysis on sales monitoring, cost and profitability evaluations.
Cherlyn Zhang
Data Analyst
Master's (UNSW). 10 years of data analytics in finance. Previously an experienced university English teacher.
Xinyue Zhang
Data Analyst
Master's in computer science (USyd). Software development and data engineering experience.
ChatGPT
AI Agent
Powers intelligent automation and conversational AI. Streamlines workflows, extracts insights from unstructured data, and accelerates processes through advanced natural-language understanding.
Gemini
AI Agent
Delivers AI-driven integration and intelligent data governance. Automates data discovery, enables real-time synchronisation, and supports multimodal analysis across the platform.
Community
The founding team has contributed to the Australian data and AI community for 4+ years:
Sydney Data & AI Meetup
480+ members. In-person sessions on data engineering, AI architecture, and practical ML.
meetup.com →
Data & AI WeChat Community
320+ members. Chinese-language knowledge sharing on data engineering and cloud architecture.
Mission: Enable organisations to deploy auditable, intelligent AI systems safely in regulated environments. No black boxes.