Sans Other Tese 1 is a regular weight, normal width, low contrast, upright, normal x-height font visually similar to 'PT Root' by ParaType and 'Eastlane' by Stawix (names referenced only for comparison).
Keywords: signage, wayfinding, branding, packaging, posters, industrial, technical, utilitarian, architectural, modernist, technical voice, system branding, stencil effect, modern signage, distinctive legibility, stencil-like, segmented, monoline, rounded corners, geometric.
A clean sans with monoline strokes and geometric construction, characterized by deliberate vertical cut-ins that segment bowls and counters. Curves are broadly rounded, terminals are mostly flat, and joins stay crisp, giving an engineered, modular feel. Uppercase forms are open and straightforward, while the lowercase keeps simple, functional shapes; the overall rhythm is even and legible, with distinctive internal breaks adding texture without adding stroke contrast.
Well-suited to signage and wayfinding, product labeling, and branding systems that benefit from an engineered, industrial tone. The distinctive segmentation can add character to headlines and display text, and it can also work for short UI labels or technical graphics where a modern, constructed look is desired.
The segmented detailing reads as technical and industrial, suggesting labeling, equipment, and built-environment graphics. It feels contemporary and utilitarian rather than expressive, with a slightly futuristic, signage-oriented edge created by the repeated cut patterns.
The design appears intended to be a familiar, readable sans with a signature segmented motif—evoking stencil cuts or modular manufacturing—so it can carry a technical identity while remaining practical for repeated use across a system.
The repeated vertical breaks appear consistently across rounded letters and figures, producing a stencil/slot effect that remains recognizable in running text. Numerals and caps keep a clear, pragmatic silhouette, and the design’s personality comes primarily from its internal segmentation rather than from exaggerated proportions or contrast.