Namelix

Namelix is driven by a fine-tuned variant of GPT-4o-mini optimized for phonetic creativity. The model was trained on 2.3 million brand names, linguistics corpora (CELEX, CMU Pronouncing Dictionary), and 650,000 trademark records from USPTO and EUIPO. The fine-tuning objective maximizes “brandability score,” a composite of pronounceability, memorability (measured via trigram surprisal), and semantic relevance to the user’s seed keywords.

Semantic Seed Expansion

Typing “cold brew subscription” surfaces not only obvious candidates like “BrewBox” but also lateral leaps such as “FrostPour,” “ArcticPress,” and “ChillDrip,” each accompanied by a relevance score and trademark risk meter.

Style Filters

Users can bias results toward:

• Short (4–6 characters)
• Compound (two-word fusion)
• Alternate spelling (Lyft, Fiverr)
• Non-English roots (Japanese, Latin)
• Classic suffixes (-ly, -ify, -io)

Visual Preview

One-click mockups generated via Brandmark.io’s diffusion model show the name in five logo styles (minimal, playful, tech, luxury, handcrafted). This visual anchoring increases conversion to paid logo packages by 64 %.

Collaboration & Figma Plugin

Teams can share shortlists via password-protected links o