Understand the situation
We find out what your team really uses AI for and where it gets stuck before we propose anything.
About Baize AI · Formal eXplainable AI
Baize AI
Baize is a creature from Chinese mythology that could recognize every living thing. Our Chinese name adds two characters: ming, for transparent and explainable, and li, for logic and verifiable method. We use all three as working requirements.
The name
One name, three requirements
Transparent and explainable
Each recommendation states its basis and its limits, so your team can read and check it.
Verifiable method
Hypothesis, then verification, then delivery. Every conclusion can be derived again.
Who we are
Advisors for AI-native transformation
Baize AI works with companies that are moving their operations onto AI. With leadership, business, and engineering teams, we decide which workflows AI should enter, where it saves real time, and which capabilities your team should own as its own methods and systems.
Deliverables include a diagnostic report, a workflow change plan, an AI access path, engineering and operations SOPs, acceptance criteria, and a timeline. We work in four ways: consulting, training, forward deployed engineering, and internal tools with product support. Delivery is remote-first.
Formal eXplainable AI is our technical standard. Formal means formal, verifiable methods. eXplainable means people without a technical background can follow the process and the conclusions.
Values
Four working principles
01
Explain clearly
Every judgment has a basis you can trace.
02
Deliver with rigor
Verify before delivering. Reliability is not traded for speed.
03
Safe and trustworthy
Permissions, data boundaries, and usage rules come before delivery speed.
04
Leave lasting assets
Every engagement leaves reusable Skills and SOPs with your team.
Not sure which workflow AI should start with?
Talk to us for 30 minutes. Free of charge.