SaaS startups have become the darling of Venture Capital investors, especially in the Text Analytics industry. Over the past decade, software has proverbially “eaten the world” and SaaS companies have scaled to become unicorn corporations in staggering amounts of time.
In this article, we are examining 3 VC funded SaaS startups in the Text Analytics industry.
A B2B SaaS firm called Kapiche has developed an experience intelligence platform to assist customer-centric businesses in comprehending and improving the experiences they provide. The platform is based on their Natural Language Processing technology, which can take tens of thousands of pieces of unseen employee and customer feedback data (both structured and unstructured) and, in minutes, identify the key themes being discussed, how the respondents feel about those themes, and what impact it has on your business. This is done without any prior setup or pre-trained models.
Wonderflow is a platform that transforms customer feedback into wise decisions. Every day, millions of product reviews are written. The easiest AI-based solution to assess them and produce winning judgments from this enormous stream of consumer input is Wonderflow. Unified VoC analytics from Wonderflow assist B2C businesses in deriving value from consumer feedback such as online reviews, service center data, and NPS. Its AI examines customer feedback from all across the world, including that of your customers and that of your rivals. The Natural Language Processing (NLP) technology then offers you digestible insights rather than laborious processes so that everyone in your organization may quickly access the most relevant information.
A saas platform called YZR was created to let businesspeople create their own data. Feature 3 Standardization: Rewrite textual data using accepted practices - Labeling: uses highlighted labels in accordance with an active learning process. - Fuzzy matching: identifies word groupings (for ex: product descriptions) YZR standardizes, labels, and matches data even in the absence of top-down data governance. Through an API that can be connected into any data infrastructure, YZR automates data preparation.