Innodata Inc.

on our call today for the large $51 million contract. We're providing what's called pre-training, mid-training, and post-training data. Soon we anticipate providing evals as well. And you can think of those as all classifications of data that's required in order to train and fine tune large language models. In terms of one of the other customers we talked about, we're providing trust and safety services. We're evaluating models. We're testing them. We're isolating areas where they're underperforming. We're prescribing the data mixes that are required in order to mitigate that performance. Similarly, another one of the wins that we talked about, or the soon-to-be wins, scaled data generation, large-scale data to train and improve models, testing for alignment with responsible AI. We're getting into creating data sets that are required for physical AI. You can think of physical AI as embodied intelligence or robots. So it's really along the full spectrum of capabilities that are required by the foundation model builders from a data perspective in order to support their products.

That's great. Thank you so much.

Up next is Hamed Khorzan from BWS Financial.