Compare Forethought vs Rasa
Customers evaluate the quality of Forethought's products using the following success metrics.
Overview
Forethought is 7 yrs old and is based in United States.
Forethought uses artificial intelligence to help with customer service. It assists customer support employees with triaging tickets, finding answers to common issues, and training new hires. It streamlines the entire support ticket lifecycle on one generative artificial intelligence platform. The company was founded in 2017 and is based in San Francisco, California.
Rasa is 8 yrs old and is based in United States.
Rasa is a conversational artificial intelligence (AI) based platform. It allows developers to build voice-based AI assistants to automate contextual conversations. The company was formerly known as LastMile Technologies. It was founded in 2016 and is based in San Francisco, California.
Demo Video
Leadership
Sami Ghoche (Founder, Chief Technology Officer)
Alan Nichol (Founder, Chief Technology Officer)
Investors
New Enterprise Associates, K9 Ventures
Plug and Play Fintech Accelerator, Basis Set Ventures
Product
Why Forethought beats Rasa
Why Rasa beats Forethought
Benefits
- In app/bot containment rates
- How many conversations were solved from the customer perspective
- Reduction of costs
Products
Rasa Platform
The Rasa Platform is the ultimate conversational AI Platform for scale. The Rasa Platform is made up of two product lines. Rasa Pro, our conversational AI infrastructure suite powered by Open Source, as well as Rasa Enterprise, our user interface for building, reviewing, and improving your AI Assistant
Customers
Rasa works with 3 known companies.
Known Partners
Orange, T-Mobile
Why They Buy
News & Analysis
Forethought has been mentioned in our research 8 times.
Rasa has been mentioned in our research 4 times.
Research Articles
Expert Collections
Artificial Intelligence
11,324 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Sales & Customer Service
750 items
Companies offering technology-driven solutions to enable, facilitate, and improve customer service across industries. This includes solutions pre-, during, and post-purchase of goods and services.
Artificial Intelligence
10,663 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Customer Service Tech
539 items
Companies offering technology-driven solutions to enable, facilitate, and improve customer service across industries. This includes solutions pre-, during, and post-purchase of goods and services.
Market
ESP Rankings position vendors based on their resources and execution.
Forethought is a Leader in AI-powered chatbots
The AI-powered chatbots market offers solutions that use practical AI to enable self-service, automate support workflows, and deliver personalized conversational experiences across multiple channels. The market is focused on improving customer and employee experiences through automation, personalization, and scalability. The technologies aim to solve common problems such as long wait times, high operational costs, and low productivity. The goal is to improve CSAT scores, increase brand loyalty, and drive incremental revenue for businesses.
Rasa is a Leader in NLP toolkits & open-source libraries
The NLP toolkits & open-source libraries market offers a range of solutions for businesses and developers to analyze, process, and generate text using cutting-edge language models. These platforms enable companies to fine-tune models to fit their existing data and tailor language, style, and other specifications of generated text without requiring NLP expertise. The market includes conversational AI frameworks for creating adaptive conversational brand experiences, reading and writing NLP-powered tools for consumers, and large accessible language models for developing products and services. By leveraging these solutions, businesses can improve customer service quality, increase efficiency in reading and writing tasks, and gain fresh insights from unstructured language data.