Interfaze

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AI model built for deterministic developer tasks

Spring 2026Founded 20255 peopleSan Francisco, CA, USA

interfaze.ai ↗LinkedIn ↗X ↗GitHub ↗Crunchbase ↗

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AI insightcan contain mistakes

Deterministic ML ModelAPI/InfraDevelopers needing reliable OCR, web scraping, classificationHigh competition

Moat

Hybrid DNN/LLM architecture for consistency in structured extraction; differentiable from black-box LLM models.

Key risk

Competition from OpenAI/Claude APIs; LLM models rapidly improving on deterministic tasks; price competition.

Why now

Enterprises seek deterministic AI outputs for production systems; LLMs insufficient for compliance and data extraction.

Competitors

OpenAI GPT-4V, Claude, Anthropic

About

Interfaze is an AI model built on a new architecture that merges specialized DNN/CNN models with LLMs for developer tasks that require deterministic output and high consistency like OCR, web scraping, classification, Speech-to-text (STT) and more. Read paper:https://arxiv.org/abs/2602.04101