Pricing score

Plainsight Pricing Profile

Providing the unique combination of AI strategy, a vision AI platform, and deep learning expertise, Plainsight develops, implements, and oversees transformative computer vision solutions for enterprises.

HQ Location

Santa Monica, California, USA

Category:

Key Takeaways

Data Labeling and Annotation

Plainsight provides a comprehensive data labeling suite for businesses that need to prepare large datasets for machine learning model training.

Custom Model Training

Users can create custom AI models using their own datasets. Plainsight offers a streamlined interface to help organizations train models tailored to their specific needs and use cases.

Automated Machine Learning

Plainsight also features AutoML capabilities, which allow users to automatically test and evaluate multiple model configurations to find the best-performing model without needing extensive machine learning expertise.

Product Overview

Plainsight is an AI-powered data labeling and machine learning platform that focuses on simplifying the process of building, deploying, and managing machine learning models. The platform provides tools for data annotation, model development, and AI insights, helping organizations unlock the full potential of their data to create high-performing AI applications across various industries.

Plainsight's goal is to make the process of training machine learning models faster, easier, and more efficient by combining human-in-the-loop data annotation with AI automation. Their platform is designed for companies looking to build custom machine learning solutions for industries such as healthcare, manufacturing, automotive, retail, and security.

INSIGHTS

Our insights about Plainsight pricing

May be expensive for small companies

Offers custom quotes

Pricing information is not publicly available

Available Pricing Models

How much does Plainsight cost?

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

What users say about Plainsight pricing

Nimish G.

Plainsights performance, support, attention to detailing of features from users perspective, and comprehensive features provide advantages over the competition.

Matthew P.

I really like the variety of tools and shapes that this tool employs! You can do it all from rectangles, polygons, and point labels.

Verified User in Information Technology and Services

It's easy to understand firsthand. We need not to worry about complex results and analysis. Technical knowledge is required.

Verified User in Information Technology and Services

Sixgill Hyperlabel is an easy-to-use, fast, and an excellent quality data set creation software for small, medium, and large enterprises. Even the customer support provided by this software is good.

Nimish G.

Plainsights performance, support, attention to detailing of features from users perspective, and comprehensive features provide advantages over the competition.

Verified User in Information Technology and Services

It's easy to understand firsthand. We need not to worry about complex results and analysis. Technical knowledge is required.

Matthew P.

I really like the variety of tools and shapes that this tool employs! You can do it all from rectangles, polygons, and point labels.

Verified User in Information Technology and Services

Sixgill Hyperlabel is an easy-to-use, fast, and an excellent quality data set creation software for small, medium, and large enterprises. Even the customer support provided by this software is good.

Plainsight Pricing Rating

Predictive Analytics: 4.8/5

By leveraging machine learning, Plainsight can help forecast outcomes based on historical data. For example, predicting equipment failures in manufacturing or forecasting customer demand in retail.

Model Deployment: 4.7/5

Users can deploy models directly to cloud or edge devices for real-time inference and decision-making.

Workflow Automation: 4.9/5

Automate repetitive steps in the machine learning pipeline, from data collection and labeling to model training and deployment.

FAQ on Plainsight Pricing

What types of data can I annotate with Plainsight?

Plainsight supports data annotation for a variety of data types, including:

- Images: Object detection, segmentation, bounding boxes, and more.
- Videos: Frame tagging for activity recognition, object tracking, and video classification.
- Text: Sentiment analysis, named entity recognition (NER), text classification, and topic modeling.
- 3D Data: Point cloud and LIDAR data annotation for autonomous vehicle and robotics applications.

How does Plainsight's data labeling process work?

Plainsight combines human-in-the-loop data labeling with AI-powered automation to deliver accurate, high-quality annotations:

- Automated Labeling: AI models pre-label the data to save time on repetitive tasks.
- Human Review: Annotators review and refine the AI-generated labels to ensure quality and accuracy.
- Custom Workflows: You can create custom workflows to tailor the annotation process to your specific needs, with full visibility into project status and progress.

Can I train custom machine learning models on Plainsight?

Yes. Plainsight allows you to train custom machine learning models using your own labeled data. The platform offers tools for:

- Model Creation: Train custom models for specific use cases, such as object detection, classification, or NLP tasks.
- AutoML: Use automated machine learning (AutoML) to test various model configurations and find the best-performing model without deep technical expertise.
- Hyperparameter Tuning: Optimize your models through hyperparameter tuning to improve performance.

How do I deploy machine learning models with Plainsight?

Once your models are trained, Plainsight helps you deploy them for real-time or batch inference:

- Cloud Deployment: Deploy models to the cloud for scalable access and integration into your applications.
- Edge Deployment: Deploy models on edge devices for real-time decision-making in remote or resource-constrained environments (e.g., IoT devices, autonomous vehicles).
- Model Monitoring: Track the performance of deployed models and receive notifications about issues like model drift or the need for retraining.