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Dodonai is an AI platform that helps legal professionals automate document summarization, streamline workflow management, and support case preparation within law practices.

Docus AI is a medical AI platform that offers symptom checking, doctor consultations, health reports, and personalized medical insights for patients and clinicians.

Dataloop is a data lifecycle platform that manages, labels, and automates preparation of visual datasets to support building, training, and deploying computer vision AI models.

Skinive is a mobile app that uses AI to analyze skin photos for potential dermatological issues and help users monitor skin health over time.

EvenUp is an AI-powered legal claims platform that analyzes case data to generate demand packages, estimate claim value, and support decisions across the personal injury case lifecycle.

Docsumo is an intelligent document processing platform that automatically extracts, validates, and structures data from unstructured documents via configurable workflows and APIs.

Whatletter is a mobile app that lets users photograph documents, translate text in multiple languages, and have interactive, conversational discussions about the content.

Superego is an AI-powered healthcare assistant that provides free, instant text-based consultations to answer usersβ health-related questions and guide them toward appropriate next steps.

Augury is an industrial AI platform that analyzes machine and process data to predict equipment failures, optimize production performance, and support maintenance and reliability teams.

Mentalyc is a HIPAA-compliant AI tool that converts therapy session recordings into structured clinical notes and highlights key themes and insights for clinicians.

Runautomat is an AI-driven robotic process automation platform that designs, executes, and manages automated workflows to handle repetitive business tasks across multiple industries.

Ango is a platform for creating, managing, and automating AI data labeling and annotation workflows to efficiently build and scale machine learning training datasets.
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