Pricing score

Diffgram Training Data Software Pricing Profile

Diffgram is a powerful and flexible platform for managing and creating labeled datasets needed for training machine learning models.

HQ Location

San Francisco, California, USA

Category:

Key Takeaways

AI-Assisted Annotation

Diffgram integrates AI-powered tools to accelerate the annotation process. Users can import pre-trained models to automatically label parts of the data. The system allows annotators to quickly review and correct AI-generated predictions, which reduces manual effort and accelerates data preparation.

Customizable Workflow

Diffgram offers highly customizable workflows for teams working on large-scale annotation projects. Users can define tasks, set up guidelines, and automate parts of the data labeling process. Custom workflows help organize tasks efficiently, improving productivity and ensuring data consistency.

Collaborative Annotation

The platform is built for team collaboration, allowing multiple users to work on the same project. Teams can assign tasks to individual annotators, track progress in real-time, and perform quality assurance (QA) reviews. This is particularly useful for large-scale projects that involve many annotators.

Product Overview

Diffgram is a training data platform designed to streamline the process of building high-quality datasets for ML and AI models. The platform is particularly known for its powerful data annotation tools, allowing users to label, manage, and validate datasets in a collaborative and efficient manner. It is widely used for tasks such as image annotation, video labeling, text classification, and 3D point cloud annotation.

Diffgram is unique in its focus on data-centric AI, where the emphasis is on improving the quality of the data used for training AI models, rather than solely focusing on the models themselves. It offers a range of features that help organizations quickly create and manage annotated datasets at scale.

INSIGHTS

Our insights about Diffgram Training Data Software pricing

Pricing information is not publicly available

Offers custom quotes

No free trial

Available Pricing Models

How much does Diffgram Training Data Software cost?

Diffgram does not publicly disclose its pricing on its website, as costs can vary based on factors like company size, the products selected, and specific requirements. For the most accurate and personalized pricing information, it’s best to contact Diffgram directly through their website or speak with a sales representative.

What users say about Diffgram Training Data Software pricing

sandy b.

I really like how easy it is to upload data. The "Sync Engine" is super flexible. I can do exactly what I want for getting my tasks done. The team is very responsive to our needs. I like how extensible it is with both AWS and GCP (We are on AWS at the moment). And for video the go to frame features are exactly what we need.

Suyash S.

Diffgram is the best annotation tool I've used, I love the graphical output, and the customer support is quick and responsive. Our team uses Diffgram for video and image annotations, and we are able to get great productivity from it. It is straightforward & user-friendly to handle.

Gurram M.

I'm working on a small personal ML project and I needed to annotate a huge load of images. Diffgram gave me the ability to annotate unlimited and I had no worries about billing since it's open-source. Moreover, I can automate my annotations using simple scripts.

Verified User in Computer & Network Security

There are a lot of websites that will compare and contrast Diffgram and its features with other products in the market. I want to focus instead on the development philosophy and the software development approach of the Diffgram engineering team. Diffgram, from day one, was focused on the business need and how Diffgram can contribute to our business. A year into the engagement, they have never wavered in their commitment and have been an integral part of our business processes. They collected requirements, identified gaps, prioritized features, and executed to deliver results. One of our requirements resulted in a significant software re-factor (compound file feature). Anthony and his team were relentless, broke down the part into chunks and delivered value over some time. Diffgram also worked on Pre-Signed URL Generation for AWS and other significant enhancements to amplify our product value.

sandy b.

Gurram M.

Suyash S.

Verified User in Computer & Network Security

Diffgram Training Data Software Pricing Rating

Scalable Infrastructure: 4.8/5

Diffgram is built to handle both small-scale projects and enterprise-level datasets. The platform is designed for scalability and can handle thousands or even millions of data points. Additionally, Diffgram places a strong emphasis on data security and ensures that sensitive data is protected through encryption, access controls, and other security measures.

API and Integration: 4.7/5

Diffgram offers a powerful API that allows users to integrate the platform with their existing machine learning pipelines and data systems. This API integration supports the automatic flow of data between Diffgram and other tools, enhancing the efficiency of the workflow.

Cross-Platform Accessibility: 4.9/5

Diffgram is accessible via web browsers, allowing users to work from any location, whether in the office or remotely. The web-based interface is intuitive, making it easy for annotators and managers to navigate the platform and perform tasks.

FAQ on Diffgram Training Data Software Pricing

How does Diffgram help with AI-assisted annotation?

Diffgram leverages AI to pre-label portions of datasets, which human annotators can then review and correct. This AI-assisted annotation speeds up the labeling process by automatically generating predictions for simpler tasks. Human annotators can correct or approve these predictions, reducing manual labeling effort and improving efficiency.

Can multiple users work on the same project?

Yes, Diffgram is built for team collaboration. Multiple users can work on the same annotation project, with the ability to assign tasks, track progress, and perform quality control (QC). This makes it ideal for large-scale projects with distributed teams.

Can Diffgram handle large datasets?

Yes, Diffgram is designed to scale for both small projects and enterprise-level datasets. It can handle large volumes of data (e.g., thousands of images, videos, or 3D models), making it suitable for businesses that need to manage and annotate massive datasets.

What kind of integrations does Diffgram support?

Diffgram offers powerful API integrations that allow users to connect the platform with their existing machine learning pipelines, cloud storage, and other tools. It can integrate with services like AWS, Google Cloud, and Azure for data storage, and it supports importing/exporting in popular annotation formats like COCO, Pascal VOC, and YOLO.