Granite Speech
IBM's open-source speech-to-text AI model family for enterprise applications
ibm.com ↗📍 Armonk, New York, USA
Verified Data
“~50M - 60M (SimiliarWeb estimate for ibm.com)”
“The Granite team is part of IBM Research and the Watsonx AI unit. Total IBM employees: 270,000+”
Company Profile
Contact
@IBMStrategic Analysis
Strategy
IBM's Granite Speech follows an open-core strategy, offering free open-source models via Hugging Face while monetizing through enterprise cloud services on Watsonx. The company is betting heavily on transparent, compliant AI models for regulated industries, positioning Granite as the enterprise-grade alternative to consumer AI models.
Tactics
Distribution through multiple channels: open-source releases on Hugging Face for developer adoption, enterprise sales through IBM's existing customer relationships, and integration with the Watsonx AI platform. Heavy investment in compliance and transparency features to appeal to regulated industries like finance and healthcare.
Competitive Positioning
Competes with OpenAI Whisper, Google Speech-to-Text, and Amazon Transcribe. Differentiates on enterprise compliance, transparency, and the ability to run on-premises. Positioned as the trusted choice for regulated industries that need explainable AI with clear data lineage.
Marketing Approach
Enterprise-focused go-to-market leveraging IBM's existing sales force and customer relationships. Open-source community building through Hugging Face releases and developer conferences. Thought leadership content around responsible AI and enterprise compliance requirements.
Notable
Part of IBM's $12.5B generative AI book of business, Apache 2.0 licensed open-source models
🔗 Source ↗Tech Stack
Python
PyTorch
Hugging FaceRed Hat OpenShiftApache 2.0Recent News
Related AI Infrastructure Companies
Discovery Sources
**Model Summary:** Granite-4.0-1b-speech is a compact and efficient speech-language model, specifically designed for multilingual automatic speech recognition (ASR) and bidirectional automatic speech translation (AST). The model was trained on a collection of public corpora comprising of diverse datasets for ASR and AST as well as synthetic datasets tailored to support Japanese ASR, keyword-biased ASR and speech translation. Granite-4.0-1b-speech was trained by modality aligning [granite-4.0-1b
Signals
“~50M - 60M (SimiliarWeb estimate for ibm.com)”
“The Granite team is part of IBM Research and the Watsonx AI unit. Total IBM employees: 270,000+”
Evidence
Granite-4.0-1b-speech is a compact and efficient speech-language model, specifically designed for multilingual automatic speech recognition (ASR) and bidirectional automatic speech translation (AST).
IBM today unveiled the industry’s first published quantum‑centric supercomputing reference architecture.
$60.5B (IBM total 2024)
Publicly traded company (NYSE: IBM)
1,000+ enterprise customers
More than doubled year-over-year in 2025
USD 1 million prize marks the first time the Turing Award has recognized quantum research.
Voice has become a critical medium for customer and employee-facing agentic AI workflows.
The collaboration aims to advance new technologies that expand infrastructure choice while preserving mission-critical environments.
high-speed general-purpose computer