Activeloop
Iterative.ai
Pachyderm
Scale
DoltHub
Snowflakepowe.red
Mind Diary
WriteUpp
Cliniko
Power Diary
Kiku
Jane
TheraNest
Mentalyc
Activeloop provides an optimized format for unstructured data, so users can stream their machine learning datasets while training ML models in PyTorch and TensorFlow. Activeloop acts as a data lake for deep learning on unstructured data and offers in-browser dataset visualization, querying, and version control. On top of those features, Activeloop integrates with experimentation and labeling tools to allow rapid iteration on computer vision datasets.
Machine Learning teams can apply Activeloop's data infrastructure to ship their models fast in the following use cases:
MindDiary is an all-in-one practice management and between-session engagement platform built specifically for therapists, counsellors, psychotherapists, psychologists, group practices, and therapy clinics.
MindDiary brings the client journey into one connected workspace โ from initial enquiry and digital intake through appointments, sessions, between-session work, documentation, and practice administration.
Therapists can create digital intake forms, capture and manage leads, schedule appointments, conduct telehealth sessions, prepare for upcoming sessions using relevant client context, and create therapist-reviewed AI-assisted clinical note drafts.
A key difference is MindDiary's focus on what happens between therapy sessions. Clients can use journaling, mood tracking, guided reflections, homework, and check-ins between appointments. Relevant information can then contribute to session preparation, helping therapists maintain continuity instead of treating every appointment as an isolated event.
MindDiary also provides public therapist profiles and lead forms, client management, appointment reminders, invoicing, and revenue follow-up tools to help practices reduce administrative work and keep important tasks from falling through the cracks.
AI is used to assist therapists rather than replace professional judgement. Therapists remain in control of clinical documentation and how client information is used.
By combining practice management, clinical workflow support, and between-session engagement, MindDiary aims to reduce the number of disconnected tools therapists need while giving them better context for each client relationship.
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Mind Diary's answer:
MindDiary does not currently publicly disclose individual customer or practice names.
Mind Diary's answer:
MindDiary connects what happens before, during, and between therapy sessions in one workspace. Alongside practice management features such as digital intake, appointments, telehealth, invoicing, and therapist-reviewed AI notes, MindDiary helps therapists maintain continuity between sessions through client journaling, check-ins, homework, and session preparation. Instead of treating each appointment as an isolated event, MindDiary brings relevant client context together over time so therapists can prepare for sessions with a clearer picture of progress, concerns, and between-session activity. AI-assisted features support the therapist rather than replacing professional judgement.
Mind Diary's answer:
MindDiary is designed specifically around therapy workflows rather than being a generic scheduling or medical practice-management system. It combines digital intake, client management, session preparation, therapist-reviewed AI note drafting, telehealth, appointments, invoicing, revenue follow-up, journaling, homework, and between-session check-ins in one platform. A key difference is MindDiary's focus on between-session engagement and longitudinal client context. Therapists can use permissioned journal entries, check-ins, homework, recent sessions, and other relevant information to prepare for upcoming appointments instead of piecing context together across multiple disconnected tools.
Mind Diary's answer:
MindDiary is built for counsellors, psychotherapists, therapists, psychologists, group practices, and therapy clinics. It is particularly suited to practitioners who want to reduce administrative work while improving continuity of care through digital intake, session preparation, clinical documentation support, client journaling, homework, check-ins, appointments, telehealth, and practice-management tools. MindDiary currently has a particular focus on therapy practices in Ireland and the United Kingdom, while the platform is designed to support therapists internationally.
Mind Diary's answer:
MindDiary was created around a simple observation: therapy software typically concentrates on what happens inside the appointment, while much of the useful context develops between sessions. Therapists often have intake information, notes, journals, homework, appointments, invoices, and client communications spread across different systems. MindDiary was built to bring these workflows together and make relevant longitudinal client context easier to use when preparing for the next session. The goal is not to automate therapy or replace clinical judgement. It is to give therapists a better workspace for understanding context, reducing administration, maintaining continuity between sessions, and running their practice.
Mind Diary's answer:
MindDiary is a modern cloud-based web application built primarily with React and TypeScript on the frontend and .NET/C# services on the backend. Its infrastructure uses technologies including AWS, Cloudflare, PostgreSQL, Stripe, and modern AI/LLM services. The platform is designed with security, privacy, scalability, and therapist control over AI-assisted workflows in mind.
Based on our record, Activeloop seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake. The chatbot searches a dataset stored in Deep Lake to find relevant information and generates responses based on the user's input. Source: over 3 years ago
u/Remote_Cancel_7977 we just launched 100+ computer vision datasets via Activeloop Hub yesterday on r/ML (#1 post for the day!). Note: we do not intend to compete with HuggingFace (we're building the database for AI). Accessing computer vision datasets via Hub is much faster than via HuggingFace though, according to some third-party benchmarks. :). Source: over 4 years ago
Hub, our open-source package, lets you stream datasets while training to PyTorch/TensorFlow. Check out how we achieved 95% GPU utilization while training on ImageNet at 50% less cost. We're building the Database for AI, with everything it should contain. If there's an adjacent feature that would make it more useful for your workflow, do let us know! Source: over 4 years ago
I'm Davit from Activeloop (activeloop.ai). Source: over 4 years ago
Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.
WriteUpp - WriteUpp is a cloud-basedโ practice management software forย health and wellbeing professionals.
Pachyderm - Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
Cliniko - Cliniko offers affordable healthcare practice management software.
Scale - Get human tasks done with just one line of code.
Power Diary - The practice management software loved by over 27,000 practitioners. Includes appointments, reminders, online bookings, notes, payments & more.