Bellow are but a few sections describing Zetisoft areas of specialties.
Each section describes a specific area of AI specialization and the capabilities we offer in that area.
Our AI solutions are designed to be highly customizable and adaptable to your specific needs and requirements.
Your success is our success. We are committed to providing you with the best AI solutions to help you achieve your business goals and objectives.
Partner with us today and unlock the full potential of AI to revolutionize your business.
Generative AI Agent offers various business capabilities with high degree of customization tailored to specific industry, business practice and domain knowledge.
Scenario:
An organization needs a quick integration of AI into their business process to minimize costs through increased employee productivity,
improved customer service and automation.
Utilizing Generative AI Agent, the organization can quickly integrate customized business assistants into current technology stack with
minimum disruption, maximum benefits and quick ROI.
Prompt Engineering is used to refine user's question in order to significantly improve the quality of model's response.
Scenario:
In a chatbot, a user asks a question that is ambiguous or unclear.
Utilizing Prompt Engineering, the chatbot can ask the user to clarify the question, thus providing a more accurate response.
User's response can be channeled back into the model to improve future responses.
Scenario:
A customer calls a customer service line and asks a question about a product to be used in a specific way.
Utilizing Prompt Engineering, we can refine the question to provide a more accurate response, thus improving customer satisfaction, by
generating a response specific to the product and the use case scenario provided by the customer.
Scenario:
An organization wants to improve chatbot customer service, by providing more accurate responses based on product knowledge and various applications.
Utilizing Prompt Engineering, we can pre-load the chatbot with products and their applications, then using is in the response generation process.
Thus providing a very accurate and specific response to the customer's question, instead of an ambiguous response if the product knowledge was not pre-loaded.
Utilizing AI to analyze content in text or image form to classify it and take appropriate actions.
Scenario:
A user submits a blog entry.
Currently, a content must first be approved by the moderator only then is visible to other users.
Content moderator can remove this step and notify the moderator when an inappropriate content is detected and should be reviewed.
PII Agent specializes in detecting private information which should be or sometimes must be protected.
Scenario:
A user submits a chat entry and includes his/her SSN.
Currently, the SSN will be included in the chat.
PII Agent can detect the SSN and notify the user that the SSN should not be included in the chat.
Or the chatbot can automatically remove the SSN from the chat.
Image Agent is capable of extracting a number of information from images.
Scenario:
An customer submits a product review which includes images.
Currently, the moderator must first review the customer's entry.
Vision Agent can first analyze the images and provide a summary to the moderator, including red flagging any inappropriate content if detected.
Video Agent is capable of extracting a number of information from videos.
Scenario:
An security personnel reviews a camera footage to identify that a non-employee has entered the facility.
Currently, the entire footage must be viewed.
Vision Agent can scan the footage and generate a summary of events with time stamps dramatically reducing the review process time.
Language Agent is capable of analyzing text and extract language features.
Scenario:
A user submits a product review.
Upon submission, the review is analyzed and a summary is generated, specifying the sentiment of the review.
If a negative sentiment was detected, an email can be created and send to customer service to address any issues.
QnA Agent specializes in understanding and answering specific questions.
Scenario:
An automated chatbot is created to answer frequently asked questions.
QnA Agent can be trained to answer questions that are specific to an industry, subject or a knowledge domain.
It conducts a natural and conversational dialog with the user, thus providing a more engaging experience.
NLP Agent specializes in generation user responses in human like manner.
Scenario:
An organization wants to expand customer service to include voice chatbot integrated with a phone system.
Utilizing NLP and other language processing techniques, the chatbot can understand the user's
request and provide a responses utilizing highly customizable neural voices.
BI Agent specializes in ingesting and understanding business data thus offering BI based on knowledge mining.
Scenario:
An organization wants to expand customer service to include previous purchase history.
Utilizing BI a customer service representative can quickly be provided options
specific to current conversation, thus providing a more personalized experience.
Scenario:
An organization wants a quick access to business data, during a meeting.
Utilizing BI, the meeting participants can ask questions and get answers in real time,
based on available data and content specific.
DI specializes in data extracted from documents in various forms utilizing Cognitive Search.
Scenario:
An organization needs to increase data accuracy and reduce manual data entry.
Utilizing DI, the organization can extract data from various forms and documents, thus reducing manual data entry
and increasing data accuracy.