New wording and links for opening sentence of NeuralSeek READMEs (wat…

…son-developer-cloud#196) * Update README.md * Update README_TEMPLATE.md * Update integrations/extensions/starter-kits/neuralseek/README_TEMPLATE.md Co-authored-by: mdswift <[email protected]> * Update integrations/extensions/starter-kits/neuralseek/README.md Co-authored-by: mdswift <[email protected]> --------- Co-authored-by: mdswift <[email protected]>
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diff --git a/integrations/extensions/starter-kits/neuralseek/README.md b/integrations/extensions/starter-kits/neuralseek/README.md
@@ -2,7 +2,7 @@
 
 ## Background
 
-[NeuralSeek](https://NeuralSeek.com) by [Cerebral Blue](https://cerebralblue.com/) is a combined search and natural-language generation system designed to [make conversational AI feel more conversational](https://garrettrowe.medium.com/making-conversational-ai-feel-more-conversational-8748009b3fda). It requires that you load all your content into IBM Watson Discovery. Then when a user asks a question, it has IBM Watson Discovery search for multiple relevant documents and then it generates a natural-language answer using the contents of those documents. In some cases, the answer might be taken directly from a single document and in others the answer can include information from multiple sources fused together into a single coherent statement. For each query, NeuralSeek returns a single answer and a score indicating how confident it is in that answer. In most cases, it also returns a URL of a document that influenced the answer (which may be one of several such documents).
+[NeuralSeek](https://NeuralSeek.com) delivered by [TechD](https://techd.com/) is a combined search and natural language generation system designed to [enable apps, webpages, and Virtual Agents to handle open-ended, complex, contextual questions from real users, based on an organization's data](https://neuralseek.com/). It requires that you load all your content into IBM Watson Discovery. Then when a user asks a question, it has IBM Watson Discovery search for multiple relevant documents and then it generates a natural language answer using the contents of those documents. In some cases, the answer might be taken directly from a single document and in others the answer can include information from multiple sources fused together into a single coherent statement. For each query, NeuralSeek returns a single answer and a score indicating how confident it is in that answer. In most cases, it also returns a URL of a document that influenced the answer (which may be one of several such documents).
 
 This starter kit demonstrates the integration of NeuralSeek with IBM Watson Assistant. The kit includes instructions for retrieving a customized OpenAPI specification (which will include a single `/seek` endpoint) for your NeuralSeek instance (which is encoded in the server URL in the OpenAPI JSON file). The kit also includes a sample actions JSON file. That actions file includes a sample NeuralSeek action that invokes NeuralSeek and shows the answer it provides.
 

diff --git a/integrations/extensions/starter-kits/neuralseek/README_TEMPLATE.md b/integrations/extensions/starter-kits/neuralseek/README_TEMPLATE.md
@@ -2,7 +2,7 @@
 
 ## Background
 
-[NeuralSeek](https://NeuralSeek.com) by [Cerebral Blue](https://cerebralblue.com/) is a combined search and natural-language generation system designed to [make conversational AI feel more conversational](https://garrettrowe.medium.com/making-conversational-ai-feel-more-conversational-8748009b3fda). It requires that you load all your content into IBM Watson Discovery. Then when a user asks a question, it has IBM Watson Discovery search for multiple relevant documents and then it generates a natural-language answer using the contents of those documents. In some cases, the answer might be taken directly from a single document and in others the answer can include information from multiple sources fused together into a single coherent statement. For each query, NeuralSeek returns a single answer and a score indicating how confident it is in that answer. In most cases, it also returns a URL of a document that influenced the answer (which may be one of several such documents).
+[NeuralSeek](https://NeuralSeek.com) delivered by [TechD](https://techd.com/) is a combined search and natural language generation system designed to [enable apps, webpages, and Virtual Agents to handle open-ended, complex, contextual questions from real users, based on an organization's data](https://neuralseek.com/). It requires that you load all your content into IBM Watson Discovery. Then when a user asks a question, it has IBM Watson Discovery search for multiple relevant documents and then it generates a natural language answer using the contents of those documents. In some cases, the answer might be taken directly from a single document and in others the answer can include information from multiple sources fused together into a single coherent statement. For each query, NeuralSeek returns a single answer and a score indicating how confident it is in that answer. In most cases, it also returns a URL of a document that influenced the answer (which may be one of several such documents).
 
 These instructions demonstrate the integration of NeuralSeek with IBM Watson Assistant, including instructions for retrieving a customized OpenAPI specification (which will include a single `/seek` endpoint) for your NeuralSeek instance (which is encoded in the server URL in the OpenAPI JSON file). The assistant actions are provided with the NeuralSeek BYOS template (for setup instructions that do not include the template, see the `README.md` in this directory, which provides step-by-step walkthrough of creating actions). The actions include a sample NeuralSeek search action that invokes NeuralSeek and shows the answer it provides.