Datasaur

The page describes how datasaur.ai collects, uses, protects, and discloses personal information related to its services.

Datasaur's AI coding spend rose by more than 400% in 18 months. The page argues that owning AI compute infrastructure can reduce costs compared with software pricing models.

The page says OpenAI disproved a geometry conjecture and Google DeepMind solved nine open Erdős problems in one weekend, reportedly for hundreds of dollars in compute costs. It discusses potential applications in scientific fields with verifiable ground truth.

Datasaur empowers AI Agent development with tools for model evaluation, data labeling, and secure deployment, ensuring optimized performance and continuous improvement. It helps businesses build efficient, reliable, and intelligent AI systems.

Datasaur's Terms of Service cover use of its cloud platform, free trials, subscriptions, support, and customer obligations.

The company offers an alternative to Accenture for enterprise AI through a specialist AI-native team that builds and deploys private models tailored to processes.

Datasaur offers model-agnostic private AI deployed inside an organization's infrastructure as an alternative to Cohere without single-model lock-in.

Datasaur is the leading NLP data labeling platform, with annotation, collaboration, and automation > See more the comparison between Datasaur and another NLP tools.

The page discusses choosing between in-house labeling and a data labeling tool such as Datasaur.

Datasaur builds private AI for regulated enterprises, including agents, document intelligence, chatbots, and PII and PHI redaction. The page says data never leaves the user's infrastructure.

The company offers scalable AI pricing for enterprises, from pilot projects to strategic partnerships, with secure, private AI tailored to budgets and workflows.

Datasaur builds secure AI for regulated industries and offers private AI that enterprises can control.

Datasaur introduces a feature that automatically trains a model from labeled data, enabling teams without data scientists to build NLP models. The company also announces a $4 million seed extension that closed last December, led by Initialized Capital with participation from HNVR, Gold House Ventures, and TenOneTen. Founder Ivan Lee says the feature could help construction companies, law firms, and marketing teams build models, and Datasaur has raised $7.9 million in total.

Aug 2023 · TechCrunchNews article