Long term investments

Annotating to product requirements instead of model requirements can work wonders. Gain multi-use datasets and get started on your models earlier.

We can show you a holistic, long term vision to data use.

ChatGPT is the best LLM in large part due to its investment in annotators, who carefully correct word salad and classify text snippets again, and again, and again.

We make sure your technical workforce is serious about defining quality, and your production workforce is serious about achieving it.

If it’s complex to build, the end result probably benefits from testing and version control.

We can apply this approach to everything that affects model performance that might be overlooked: model architecture, preprocessing techniques, quality assurance methods, workforce training approaches, and more.

Give stakeholders easy and reliable ways to find unlabeled and labeled data. Data pipelines break, and automated metadata assignment can provide limited utility.

We can tag and catalog your data and ensure you’re not duplicating work or wasting resources on unusable data.