Enterprise AI企業 AI 導入
AI your team uses every day, not a demo.
- Process mapping and feasibility
- RAG, agent workflows, fine-tuning
- SSO, permissions, audit logs
- Internal copilots and knowledge bases
SUIXU is an AI-native software company. From medical imaging to a live exchange to an education content pipeline, our in-house AI collaboration architecture ships in weeks what traditionally takes six months.
An enterprise system traditionally takes six months.
We ship in weeks.
Scope on Friday. Demo on Monday.
AI your team uses every day, not a demo.
Built from zero or rebuilt from legacy, delivered week by week.
Our strongest suit: heavyweight platforms in medicine, finance and education, where integration and compliance are the hard part.
SUIXU-AX is our in-house multi-agent orchestration architecture. Six specialised agents work the same project in parallel, handing off from requirements to deployment, and every step leaves a record you can review.
Human engineers set the quality bar and review the decisions that matter.
Kaggle is the world’s largest data-science competition platform: thousands of teams get the same data and compete on whose model is more accurate.
Rank
8,751/ 8,751teams
Santander Customer Transaction Prediction, gold medal, top 0.31%
The SUIXU AI team’s Kaggle record
Each line comes with evidence: a Kaggle medal and rank, or a product in production.
Client work is shown with illustrative interfaces under NDA; the CT is a synthetic image; no client names.
Medical imaging
We understand the images, and the hospital workflow around them.
Finding lung nodules in 3D chest CT: the AI flags every suspicious candidate, then rules out the vessels that only look like nodules, for high sensitivity with few false positives. Built by an algorithm team that took silver (top 1%) in the RSNA-MICCAI medical-imaging competition.
Six open-source projects, 5,300+ GitHub stars.
See every project on GitHubAn AI tool, a legacy rebuild or a brand-new domain platform: tell us what you need. We reply within three business days with an initial architecture assessment.