About Small Tiger Group
A two-person studio building AI tools and strategy for architecture and construction, run out of New York. Both founders trained as architects at Rice University and took non-traditional paths — one into deep-tech engineering, one into practice and operations. The combination is the point.
Libo Li
Engineering
Architect turned engineer. B.Arch from Rice University. Career through KPF, WeWork, CBRE, Voyansi (COO), and KatalystDI (CTO). Now a data engineer at Meta.
Builds the agent-callable CLIs and infrastructure behind everything on the tools page — Revit, Blender, Rhino, site feasibility, building code, Google Workspace, PDF toolchain.
Co-hosts the Most Podern Podcast and writes about why architects should learn to code on Building Probable.
Pyline Tangsuvanich
Domain & Operations
Licensed architect with more than a decade in residential, commercial, and mixed-use urban design. Rice University, 2016. Career through boutique NYC studios — Carlos Jiménez Studio, SHoP Architects, WXY Studio — then ADU design at Cottage, and now innovation work at Burns & McDonnell.
Develops Python tools for Revit and writes about office conversions, adaptive reuse, construction waste, and what it costs the industry when buildings don't work.
The reason our tools fit real delivery workflows — and the reason we know which problems are worth solving.
Why the combination matters
Most “AI for AEC” comes from one side or the other — software engineers who have never opened a BIM model, or architects who can describe a problem but can't ship the tool to solve it.
Libo crossed from architecture into hyperscaler-scale data engineering and back. Pyline stayed in practice long enough to know exactly where the friction lives. Together: we know what to build, and we can actually build it.
That's why our tools land on real machines instead of sitting in a demo folder.
Building Probable
We co-author Building Probable, a newsletter on the technology, design decisions, business models, and policy forces that shape what gets built. Construction productivity has declined for decades while other industries scaled exponentially. We write about why, and what changes it.
How we work
Strategy
Roadmap and tool-selection work for firms figuring out their AI position.
Staff
Embedded engineering and AEC domain capacity on your team for a project.
Tools
Our own products, in daily use on real construction sets.