WE BUILD AI-POWERED SOLUTIONS THAT REVOLUTIONIZE PRODUCT SUPPORT.

NESTOR.AI

NESTOR.AI is a SaaS platform enabling AI-powered automated product support solutions that are ready to be delivered in enterprise environments.

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What if...?

ALL PRODUCT RELATED INFORMATION WOULD

 AVAILABLE IN ONE KNOWLEDGE BASE?

 

THE PRODUCT KNOWLEDGE BASE COULD BE

ACCESSED WITH THE HELP OF AI?

WE WOULD PUSH THE BOUNDARIES OF AUTOMATED

PRODUCT SUPPORT WITH THE HELP OF AI?

What if...?

ALL PRODUCT RELATED INFORMATION WOULD BE AVAILABLE IN ONE KNOWLEDGE BASE?
THE PRODUCT KNOWLEDGE BASE COULD BE ACCESSED WITH THE HELP OF AI?
WE WOULD PUSH THE BOUNDARIES OF AUTOMATED PRODUCT SUPPORT WITH THE HELP OF AI?

Nestor.ai features

COMPREHENSIVE PRODUCT KNOWLEDGE BASE

To enable optimal information queries and troubleshooting sessions, Nestor.ai knowledge base can combine information from a variety of sources, from product domain information to troubleshooting tickets. The knowledge base is structured into common (shared by all customers) and private (accessible only by the customer) knowledge.

NEXT GENERATIONAL SEARCH AND RETRIEVAL

Nestor.ai uses Generative AI technologies and related techniques to elevate the abstraction level in information search and retrieval from the the product knowledge base.

VIRTUAL EXPERT BEHAVIOR

In order to assists users in queries and troubleshooting sessions related to the product, Nestor.ai uses Generative AI’s reasoning capabilities and it extends them with complex workflows.

AUTOMATED SELF-LEARNING

NESTOR.AI lets users rate sessions, adding positively rated ones to future searches, thereby gradually expanding the private knowledge base of the customer.

SUPPORT FOR MULTIPLE GENERATIVE AI MODELS

The apparently simple customer interactions turn in-fact into complex exchanges with the Large Language Models, with typically more than one model. Nestor.ai helps customers in benefiting always from the best models available on the market.

ISSUE TRACKING SYSTEM INTEGRATION

To assist and integrate with product support teams, Nestor.ai links with the issue tracking system of the support team.

DATA PRIVACY AND SECURITY

NESTOR.AI uses state of the art security architecture ensures that customer data is secure and will remain private.

Nestor.ai benefits

More efficient and productive product support teams

Most efficient teams

Nestor.ai assists its users in solving many of the technical issues related to the supported product, thereby improving issue resolution times and all related team and infrastructure availability KPIs decreasing workload on experts

More competent teams

Nestor.ai makes all product related information - public and private documentation, issue resolutions, community Q&As - into one knowledge base. The knowledge is available instantly, easily for everyone in the team via a chat interface.

Lower team costs

Increased operational efficiency combined with a clear and easily available method for competence development yields cost savings as well.

Nestor.ai

Why choose Nestor.ai?

Virtual expert product behavior

Nestor.ai uses customized prompts and complex workflow to provide the experience of a dialogue with a product expert.

Self learning

Nestor.ai improves with each interaction with the customer, by saving successful and approved queries and issue resolutions for future searches.

Support multiple models

Unlike the built-in chat services of a LLM, Nestor.ai can communicate with several LLM models, offered by several vendors, bringing the best alternative to the customer.

Virtual expert product behavior

Nestor.ai combines shared and private knowledge bases with specific workflows for informed technical answers and troubleshooting.

Provides accurate technical answers

NESTOR.AI knowledge base is segmented (public available / customer private information), and structured to deliver optimal search results.

Escalates unresolved issues

Nestor.ai creates a summary of each product issue resolution for closure or further escalation to a human team. For escalation, it can connect with the issue tracking system of the customer.

Introducing Nestor.ai for Kubernetes

The first implementation of the platform is our Nestor.ai for Kubernetes service, supporting Kubernetes ecosystems.
Nestor.ai is based on the experience of thousands of hours our company spent on technical support.

About the Nestor.ai or Kubernetes knowledge base

The knowledge base is segmented

Nestor.ai for Kubernetes knowledge base is segmented into a public database and private database. The public database hosts commonly available information on Kubernetes ecosystem and it is visible to all customers. The private database contains the customer's private information on its Kubernetes infrastructure and it is visible only to the customer.

Data is collected from various sources

Nestor.ai for Kubernetes knowledge base combines commonly available information collected from various sources, such as software vendor documentation with privately available information, such as customer specific product documentation.

Data is processed


The Kubernetes information uploaded to the knowledge base is pre-processed. During preprocessing the data is filtered and structured. The purpose of pre-processing is to optimize knowledge base searches.

Introducing Nestor.ai
for Kubernetes

The first implementation of the platform is our Nestor.ai for Kubernetes service, supporting Kubernetes ecosystems. Nestor.ai is based on the experience of thousands of hours our company spent on technical support.

About the Nestor.ai
for Kubernetes knowledge base

The knowledge base is segmented

Nestor.ai for Kubernetes knowledge base is segmented into a public database and private database. The public database hosts commonly available information on Kubernetes ecosystem and it is visible to all customers. The private database contains the customer’s private information on its Kubernetes infrastructure and it is visible only to the customer.

Data is collected from various sources

Nestor.ai for Kubernetes knowledge base combines commonly available information collected from various sources, such as software vendor documentation with privately available information, such as customer specific product documentation. 

Data is processed

The Kubernetes information uploaded to the knowledge base is pre-processed.  During preprocessing the data is filtered and structured. The purpose of pre-processing is to optimize knowledge base searches.

Nestor.ai

FAQ

Nestor.ai for Kubernetes is an AI-powered assistant designed to help with troubleshooting and answering information queries related to Kubernetes. It streamlines the process of identifying and resolving issues in your Kubernetes environment by providing intelligent recommendations, suggestions for diagnostics, and answers to common questions, making cluster management more efficient and user-friendly.

Nestor.ai for Kubernetes is a secure SaaS service built with a strong emphasis on customer data security and privacy. It employs industry-standard encryption, strict access controls, and follows best practices for data handling to protect sensitive information. Additionally, it adheres to compliance regulations and privacy laws, ensuring that your data remains secure and private throughout your interaction with the platform.

Nestor.ai for Kubernetes enhances troubleshooting efficiency by offering a guided troubleshooting workflow combined with a comprehensive knowledge base. This allows users to follow a guided process for diagnosing and resolving issues, while the rich knowledge base enables well-grounded insights and solutions to common Kubernetes problems, reducing the risks of LLM hallucinations.

 Nestor.ai for Kubernetes learns and adapts to a customer’s specific Kubernetes infrastructure by importing customer-specific infrastructure documents and troubleshooting history into its knowledge base. Additionally, successful troubleshooting sessions are saved to the knowledge base, enabling Nestor.ai to continuously improve its understanding and provide more accurate and relevant solutions tailored to the customer’s environment.

Nestor.ai for Kubernetes offers a user experience similar to interacting with a Kubernetes expert by gradually learning the details of your specific infrastructure over time. It also provides documentation references to support its answers, ensuring accuracy and context. Additionally, if Nestor.ai cannot solve a problem, it can escalate trouble tickets to other team members, ensuring that complex issues are addressed by the right experts within your organization.

Nestor.ai for Kubernetes’ support for multiple Large Language Models (LLMs) is crucial because each interaction with the user generates numerous interactions with the LLM. By leveraging different LLMs, Nestor.ai can select the model most capable of addressing the specific problem at hand, ensuring that users receive the most accurate and relevant answers, tailored to the complexity of the issue they are facing. This flexibility enhances the overall effectiveness and precision of the troubleshooting process.

Nestor.ai for Kubernetes’ support for multiple Large Language Models (LLMs) is crucial because each interaction with the user generates numerous interactions with the LLM. By leveraging different LLMs, Nestor.ai can select the model most capable of addressing the specific problem at hand, ensuring that users receive the most accurate and relevant answers, tailored to the complexity of the issue they are facing. This flexibility enhances the overall effectiveness and precision of the troubleshooting process.

Let’s connect

Sign up for a demo now!

Contact us for a free demo
Let’s connect

Sign up for a demo now!

Contact us for a free demo