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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 HumanFirst?

HumanFirst transforms the management of infrastructure and workflows involved in exploring, curating, and scaling AI training data. Our innovative solutions bolster the growth of natural language understanding (NLU) and natural language processing (NLP) capabilities, accelerating the progress of conversational AI significantly. By consistently integrating genuine voice-of-the-customer data, we improve the relevance and efficacy of your models. With HumanFirst Studio, overseeing voice and text data for training and refining NLU models becomes a straightforward task. Say goodbye to costly and inconsistent data ingestion and labeling methods, and embrace a streamlined process that allows for immediate improvements to your AI performance utilizing real data. You can effortlessly import requests from your Search and Help Center, emails, live chats, or voice call logs, ensuring your AI continuously learns to better understand customer needs. This facilitates the identification of intents and their refinement in accuracy. The conventional method of guessing which intents need training and manually crafting training phrases can be tedious, often leading to gaps in coverage and intent accuracy that can impede the overall efficiency of your AI solutions. By adopting HumanFirst, your organization can concentrate on what truly matters: providing outstanding customer experiences powered by intelligent AI. In doing so, you not only enhance your operational efficiency but also ensure that your AI evolves in tandem with customer expectations.

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

HumanFirst.ai

Date Founded

2017

Company Location

Canada

Company Website

www.humanfirst.ai/

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

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

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

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