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What is Openlayer?

Merge your datasets and models into Openlayer while engaging in close collaboration with the entire team to set transparent expectations for quality and performance indicators. Investigate thoroughly the factors contributing to any unmet goals to resolve them effectively and promptly. Utilize the information at your disposal to diagnose the root causes of any challenges encountered. Generate supplementary data that reflects the traits of the specific subpopulation in question and then retrain the model accordingly. Assess new code submissions against your established objectives to ensure steady progress without any setbacks. Perform side-by-side comparisons of various versions to make informed decisions and confidently deploy updates. By swiftly identifying what affects model performance, you can conserve precious engineering resources. Determine the most effective pathways for enhancing your model’s performance and recognize which data is crucial for boosting effectiveness. This focus will help in creating high-quality and representative datasets that contribute to success. As your team commits to ongoing improvement, you will be able to respond and adapt quickly to the changing demands of the project while maintaining high standards. Continuous collaboration will also foster a culture of innovation, ensuring that new ideas are integrated seamlessly into the existing framework.

What is Braintrust?

Braintrust functions as a powerful platform dedicated to the development of AI solutions specifically for enterprises. By optimizing tasks such as assessments, prompt testing, and data management, we remove the uncertainty and repetitiveness that often accompany the adoption of AI in business settings. Users have the ability to scrutinize various prompts, benchmarks, and their related input/output results across multiple evaluations. You can choose to apply temporary modifications or elevate your initial concepts into formal experiments that can be measured against large datasets. Braintrust integrates effortlessly into your continuous integration workflow, allowing you to track progress on your main branch while automatically contrasting new experiments with the live version prior to deployment. Furthermore, it facilitates the gathering of rated examples from both staging and production settings, which enhances the depth of evaluation and incorporation into high-quality datasets. These datasets are securely kept in your cloud and are automatically versioned, which means you can improve them without compromising the integrity of existing evaluations that depend on them. This all-encompassing strategy not only encourages innovation but also strengthens the dependability of AI product development, making it a vital tool for any enterprise looking to leverage AI effectively. The combination of these features ensures that organizations can confidently navigate the complexities of AI integration and continuously enhance their capabilities.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Openlayer

Date Founded

2021

Company Location

United States

Company Website

www.openlayer.com

Company Facts

Organization Name

Braintrust

Company Location

United States

Company Website

www.braintrustdata.com

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Categories and Features

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