AI model built for deterministic developer tasks
Developer workflows that depend on OCR, scraping, classification, and speech-to-text often produce inconsistent, non-deterministic outputs with general-purpose LLMs.
Interfaze provides an AI model architecture that combines specialized DNN/CNN components with LLMs to deliver deterministic, high-consistency outputs for developer tasks like OCR, web scraping, classification, and STT.
Developers and engineering teams building applications that require reliable, deterministic AI outputs for automation and data extraction tasks.
8 years in edge computer vision research | 2nd time founder
Building https://interfaze.ai