AI Index / Innodata Inc.
Innodata Inc. (INOD)
Innodata’s revenue is primarily from: 1) High-quality data annotation and training datasets for LLMs (direct AI). 2) Model evaluation, safety testing, and diagnosis to improve model performance (direct AI). 3) Enterprise advisory/integration and custom pipelines for AI-native systems and agentic AI (direct AI). 4) Expanded delivery/services under big tech SOWs (direct AI). 5) Emerging simulation data and robotics/agent-based AI services (nascent, direct AI). Revenue is concentrated in big tech customers. AI directly drives the business.
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We believe that the second SOW potentially gives us access to an even larger generative AI revenue pool with this customer.
- Jack S. Abuhoff
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Quotes from innodata Executives About Artificial Intelligence and Generative AI
Our big tech customers are at an all-out race towards super intelligence and autonomy, which we believe will be driven to a large degree by high-quality complex training data.
- Jack S. Abuhoff
We believe we are ideally situated to help them test models, diagnose performance issues and prescribe data mixes required to improve performance.
- Jack S. Abuhoff
At the same time, we are positioning ourselves to help enterprises build and manage AI that can act autonomously, often referred to as Agentic AI.
- Jack S. Abuhoff
We believe agent-based AI is going to serve as the cornerstone technology that unlocks the full value of large language models and generative AI for enterprises.
- Jack S. Abuhoff
We believe the market for simulation data services and evaluation services to drive Agentic AI and robotics is likely to dwarf the market for frontier model post-training data.
- Jack S. Abuhoff
At the heart of this performance is a simple truth. We are deeply aligned with the most significant technological invention of our era, generative AI.
- Jack S. Abuhoff
Across the entire life cycle of generative AI model training from pretraining to post-training to evaluation to safety, we're delivering the services that unlock the performance of Gen AI models.
- Jack S. Abuhoff
We anticipate potentially winning major new customers, significantly deepening relationships, and further broadening our base.
- Jack S. Abuhoff