Besimple AI

Besimple AI sells licensed conversational audio for teams training and evaluating voice models. Rather than scraping recordings or running your own contributor recruiting, annotation and legal review, you brief Besimple and it ships training or evaluation datasets built from a contributor network covering more than 100 countries and locales. The catalog is organized by interaction type rather than raw hours: long two-speaker full-duplex conversations, multi-speaker group dynamics, reinforcement learning environments built from real human speech, specialist dialogue in finance, medicine and education, plus licensed professional voice-actor recordings. Collection, annotation and delivery sit with Besimple, and samples arrive in 48 hours so your team can push them through its own pipeline before committing budget. The company works alongside your researchers to define what matters and design the annotation rubric. What separates Besimple from a typical audio vendor is that it publishes its evaluation work. Voice Code Bench asks a narrow product question — did the transcript preserve every structured entity a downstream workflow needs, like emails, account identifiers, dollar amounts and file paths. Vocal Affect Bench scores whether a model can read expressed vocal emotion from raw speech without transcripts, and Duplex Cue measures full-duplex turn behaviour: whether a speaker continues, adapts in-turn, or yields the floor. The proof-of-concept is Inkling Post-Training: post-training Thinking Machines' Inkling on 1, 25 and 100 hours of VoiceCodeBench-style speech lifted entity recovery from 86.84% to 94.80% at 100 hours. Y Combinator backs the company. Against generic audio corpora Besimple competes on tailoring and turnaround; against an in-house licensing and annotation build it competes on not having to.