QUICK ANSWER — About PeakQi in 30 seconds
PeakQi International Ltd. is a Taiwan-based AI operations automation and systems integration team serving Taiwan SMBs and service businesses. We have shipped 30+ live systems and sites across 8+ industry scenarios. Our core product is the Peak Ops operations platform, alongside vertical solutions — AI Wedding Pro (weddings), AI Interior Pro (interior design) and Bubble (real estate). Our approach: validate first, then expand; AI handles the repetitive work, people keep the judgment.
- Best for
- Taiwan SMBs & service businesses
- Rollout
- Modular · human review kept
- Go-live
- From 10 working days (standard modules)
- Pricing
- Custom quote (setup + monthly + usage)
The value of AI
isn't one more feature.
A rollout is worth it when work loses one break point, one repeated step.
Companies don't need another tool — they need a partner who stays until the flow is truly live.
When an AI project is worth it
Flow first, not models
First understand how the work happens, where the data lives and who decides — then pick the technology.
Validate small, then expand
Pick one high-value, measurable, risk-controlled scenario; prove it works before adding modules.
AI automates, people judge
Sorting, digests, lookups and drafts go to AI; pricing, commitments, sensitive content and key decisions stay with people.
All thumbnails are screens of systems and sites we actually delivered. Figures count shipped projects — they are not a promise of results or revenue; timelines and scope live on the pricing page.
Industries we've served
One color per industry; cards marked CASE open the work.One team,
through launch and after
Every stage has a clear deliverable — no handoffs between strategy, design and build.
Not mockups —
screens we shipped
Screens from support, CRM, quoting and management systems. Full results live on the cases page.
From one flow
to a full platform
This only answers how far we take it; feature details live on the Solutions page.
All thumbnails are delivered screens of this type.
Who you'll
work with
AI adoption takes product, process, design and engineering together. These are the roles on your project.
Process & product strategy
Defines the problem, the rollout scope, priorities and how success is measured.
UX & system design
Turns complex work into interfaces your team actually uses.
AI & systems engineering
Models, data, APIs, permissions, backends and existing-tool integration.
Rollout & continuous tuning
Testing, launch, usage feedback and the adjustments that follow.
Business development and project management across urban renewal, international trade, tech startups and the music industry. Formerly head of an urban-regeneration station, leading 80+ facilitators and taking two redevelopment plans to review; hands-on in corporate procurement and overseas expansion. Strengths: business development, resource integration, team leadership.
Ten years walking the line between culture, tech and AI, ferrying chaos into products that ship. Stationed at the Ministry of Culture's film and pop-music project office, worked in film and music, joined a social enterprise, selected for the National Art Exhibition. Has led 10+ digital products from zero to live — for him, a daily practice of "something out of nothing".
10+ years of full-stack development (React/Vue/Next.js/Node.js), specializing in chatbot systems (LINE/FB Messenger/Discord) and zero-to-one products. Former front-end lead of a five-person team, owning architecture and delivery schedules.
Serial entrepreneur focused on B2B marketing; eight years across startups, consulting and planning, serving ~500 business users. Strong in business models, ad campaigns and social operations — work that has driven NT$500M in client revenue.
Control first,
then AI
Data scope gets defined
First we agree what data AI may use — and what must never enter the model flow.
People confirm what matters
Quotes, commitments, sensitive information and low-confidence answers never go out unreviewed.
Every action is traceable
Source, status, owner and history are kept — so when something goes wrong, you can find it.
No AI for AI's sake
If rules, automation or a process fix works better, we will not force generative AI in.
These are our working principles. Where data actually lives, permission design, retention and contract terms are confirmed item by item for your environment before rollout — and written into the contract.
Next step:
your workflow.
Bring the flow that eats the most time — together we'll decide if Phase 1 is worth doing.