Press Release: September 29, 2020
teX-Ai – an Ai based Text Analytics software that offers impeccable text extraction, text classification, and text summarization,
We always had in-house Natural Language Processing (NLP) expertise and have been working with many clients addressing crucial text data problems. After months of R&D and prototyping, Indium’s teX.ai, a SaaS-based tool, is ready to provide faster and scalable text analytics solutions for a variety of use cases across industries.
One of the key aspects of digital transformation is the digitization of legacy documents and analytics on the text content. For example, Investment Bankers & Financial Analysts must pour over several Annual Reports on a quarterly basis, where summarizing the content and driving analysis can take considerable time & effort. Similarly, Market research firms have a challenge establishing the veracity of the metrics and KPIs in their reports. E-commerce players have classification and optimization problems with same products across different catalogue categories. All these critical business challenges are prevalent across several industries and need solution derived from NLP in text analytics. This is where teX-Ai provides enterprises the edge.
For example, a legal organization can achieve the following using teX-Ai:
Similarly, for an electronic media news website, our Text Analytics Tool – teX.ai can help with:
On the release of this product teX-Ai, Ram Sukumar, Co-founder and CEO, Indium Software, says "Many of our existing clients are excited about teX-Ai. There are several benefits businesses can avail, including, saving time & effort in summarizing documents, lowering costs by automating text extraction, reducing search complexity by classifying documents and thereby improving business efficiencies”.
teX.ai is one of the leading Ai based Text Analytics product. It’s completely customizable and helps convert complex text data into accurate insights. teX.ai is a hands-on, easy to use text analytics tool built on sophisticated Python libraries. This SaaS-based text analytics suite provides insights to enhance customer experience by processing raw text data using NLP, Ai and DL algorithms. It can effectively solve challenges faced by industries Banking, Retail, Ecommerce, Manufacturing, Education, Hospitals (healthcare) and Lifesciences in Text Extraction, Text Summarization and Text Classification.
We are ready to cater any Industry where documents and Text data is involved are our targets. Industries such as Retail, E-Comm, Manufacturing, Media & Entertainment, Legal, Energy & Utilities, Transportation & Logistics and Financial Services are our primary target.
General Inquiry: email@example.com
Global Head - Marketing