Exact reconstruction
Decode back to the same RGB pixel matrix. Where byte-identical output is required, preserve the original container, metadata and encoding parameters.
Trusted image intelligence infrastructure
Make data
compact.
Keep it exact.
CompactAI is the intelligent layer for compressing, reconstructing and analysing image data - built for a world where every byte must earn its place.
IMAGE DATAINPUT
3.31 MBRGB / METADATA
CAPVERIFIED PACKAGE
RECONSTRUCTVERIFIED
PIXEL EXACT✓ HASH
21.2xsample compression
10x+target compression on suitable image classes
Pixel-exactverifiable reconstruction
CAPportable intelligence package
01 / The thesis
AI has a data
weight problem.
Medical imaging, financial documents, robotics and video AI are producing petabytes of high-value data. Storage is only one line item. Transfer, duplication, backup, retrieval and processing compound the cost.
02 / The technology
Compress without
compromise.
CompactAI wraps compressed payloads, metadata and reconstruction proofs into a single protected CAP layer.
CAP intelligence layer
Each package can carry metadata, verification, similarity, grouping and retrieval signals - ready for downstream AI data workflows.
Built to integrate
Deploy as an SDK, private installation or embedded platform layer. Keep sensitive image data within the customer's control plane.
03 / Early evidence
Start with proof.
Scale with trust.
Early research benchmarks validate strong compression on suitable, low-entropy and screenshot/UI image classes. Every pilot is measured against the customer's own data.
17.17xaverage on an early screenshot / UI dataset
38.52xobserved on an early low-entropy sample
Research benchmark results. Compression varies by image class and encoding. Complex natural imagery may show lower benefit.CAP / BENCHMARKEARLY PROTOTYPE
Reconstruction integrityPIXEL-EXACT ✓
MetadataENCAPSULATED ✓
Package analysisREADY ✓
04 / Commercial opportunity
One core layer.
Multiple high-value markets.
Medical imaging AI
Long-term archives, imaging platforms and regulated workflows.
↗Digital banking
Document imaging, evidence chains and compliance records.
↗Robotics & video AI
High-volume sensor imagery, edge transfer and model training.
↗AI infrastructure
GPU clouds and data platforms seeking a differentiated efficiency layer.
↗Revenue model
Paid pilots
Annual platform licences
Usage-based pricing
Infrastructure licensing
05 / Executive team
Research excellence.
Commercial discipline.
One aligned team.
CompactAI brings together internationally recognised researchers and experienced commercial leaders across strategy, technology, product and execution.
01Vision & Strategy
Dr. Lianhua (Lina) Chi
CEO & Founder
PROFILE
Former Research Scientist at IBM Research and Visiting Scholar at Harvard Medical School, with dual PhDs in Computer Science and international recognition as a G20 Young Global Changer.
RESPONSIBILITIES
Lina leads the corporate overall vision, strategy, executive leadership, and aligns technology, product, commercialisation, and operations around the company's strategic priorities to drive long-term growth and enterprise value.
02Business & Commercialisation
Ms Green Yang
Chief Business Officer
PROFILE
Senior international business and strategy expert with extensive experience across government, multinational corporations and major industry sectors, including nearly 25 years with the Australian Trade and Investment Commission (Austrade).
RESPONSIBILITIES
Green leads commercialisation strategy, strategic partnerships, global expansion, and investment engagement, transforming AI innovation into scalable business opportunities, strategic market access, and high-value international partnerships.
03Technology
Prof. Shirui Pan
Chief Technology Officer
PROFILE
Professor and ARC Future Fellow, a globally recognised AI researcher with 68,000+ citations and an H-index of 94.
RESPONSIBILITIES
Shirui leads technology strategy and AI architecture, bringing world-class expertise in machine learning, trustworthy AI and data intelligence to advance compact representation, intelligent retrieval and scalable data analytics.
04Product
A/Prof. Zongyuan Ge
Chief Product Officer
PROFILE
Associate Professor, Founding Director of the AIM for Health Lab, and a Stanford World's Top 2% Scientist, with extensive experience in medical AI, digital health and technology commercialisation.
RESPONSIBILITIES
Zongyuan leads product strategy and translation, bringing deep expertise in medical imaging, multimodal AI and industry collaboration to transform advanced AI technologies into scalable, customer-focused products for healthcare and other data-intensive industries.
05Operations & Execution
Mr Edward Dong
Chief Operating Officer
PROFILE
Experienced innovation and operations leader with a strong track record in technology commercialisation, cross-border collaboration and building partnerships across industry, government and investment ecosystems.
RESPONSIBILITIES
Edward leads operations and execution, driving technology commercialisation, strategic partnerships and market expansion. He brings strong execution capabilities and extensive cross-border experience to accelerate product deployment, customer adoption and scalable growth.
06 / Execution
From validated pilot
to protected platform.
Scope
Secure NDAs and lock priority customer workflows.
Prove
Deliver two pilot reports across compression, speed, reconstruction and ROI.
Productise
Ship SDK and private-deployment versions; convert a paid pilot.
Scale
Grow the product team and prepare the evidence base for Pre-A.
Building the trusted data efficiency layer
The future of image data
is compact.
We are opening conversations with strategic investors, platform partners and pilot customers.
Start a conversation