Architecture before adjectives
We explain where models run and where data travels instead of asking customers to trust a broad privacy label.
Engineering useful software
since 2007.
We build local-first AI apps for individuals and on-premises AI infrastructure for organisations—backed by a software delivery record established long before the current AI cycle.
14current-generation products available
1M+app-family downloads each month
6+Fortune Global 500 customers
0project failures since 2007
Our position
People should own the intelligence they rely on.
Software Tailor was founded in Hong Kong in 2007. Our work now spans a consumer suite of private AI apps, an enterprise on-premises platform and AI-accelerated custom software delivery.
Across those lines, the principle is the same: useful systems should serve the customer without quietly turning customer content into vendor infrastructure.
How we work
Concrete claims. Explicit limits.
Publish only what is obtainable
A code directory or reserved product identity is not a release. Public means a verified customer acquisition path exists.
Prove the smallest useful workflow
Especially for organisations, evidence from one bounded job is more valuable than an estate-wide AI promise.
2007
Founded in Hong Kong
Software engineering and delivery for demanding enterprise environments.
Today
14 current-generation AI products
Twelve consumer products plus AI Server and AI Admin Console.
Next
Private AI as normal infrastructure
Local and on-premises intelligence that customers can inspect, operate and own.
A real problem is the best introduction
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