Do you want to streamline your organisation’s Learning & Development, saying goodbye to classrooms & webinars?

Ingests information from files of an increasing number of formats and converts it to knowledge that can be interrogated by numerous Soffos APIs.  This includes documents, audio files, video files, LMS content, KMS content and importing from DMS such as OneDrive, GDrive, DropBox, etc.

The TestMe™  app is a quick, efficient and fun way for learners in the education and/or corporate fields to get up to speed with essential knowledge in no time - and it's free.

Given a body of ingested text, this module returns snippets of the resource material that aren't normalized for ingestion into systems using popular language models.

Given a body of ingested text, this facility returns normalized wordings, which are more compatible with popular language models.

AMA allows any customer to ask questions about a product,
an advertisement, or a webpage. As a user you will then receive actionable business intelligence including insights into what customers really care about, which supports sales and lead generation.

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Suggests tags for a body of text. Useful for determining keywords and subjects.

Once textual content has been ingested, this process flags up profanity and other inappropriate content.

Detects the language of a body of text.

A tool that allows patients to schedule and manage their medical appointments via WhatsApp. AI determines the probability of no-shows and recommends action to reduce and mitigate them

This module highlights potential ambiguities within provided resource material. Includes many types of ambiguities, including those arising from word sense and pronoun issues. It, optionally, also returns questions that should be asked of a user to resolve the ambiguities.

Once content is ingested, this module returns contradictions to the user, thus offering the opportunity to resolve them immediately.

Given a body of text and a question, returns a succinct natural language answer to the question. Learns from interactions with users and remembers context. Can also return questions when context is not clear.

Given a body of text and a question, returns snippets of text containing answers to the question. It also returns a link to the files.

Generates a list of questions and answers from a selected body of text. Declarative statements are extracted from the text and rephrased into a question, where the answer is original statement. This is useful for testing users recall on specific information.

Given a selection of text, a question and a user’s answer, it returns a score (0-100%). It can optionally also specify text to be highlighted in the user’s answer that contributed to the score. It can deal with questions that have multiple correct answers.

Given a body of text, identifies and labels entities, such as people, places, etc.

Summarizes a body of text that is uploaded or selected. Various degrees of summarization can be selected.

Enables a conversation regarding a selection of text. Learns from interactions with users and remembers context. Can also return questions when context is not clear.

Given a selection of text, keywords, or subjects, returns a ‘microlesson’, which is approximately three minutes’ worth of speech.

Given a selection of text and a ‘how-to’ question, returns a body of text that contains instructions on how to perform a process, containing statements such as "if-then", "repeat step", "go to step", etc.

Translates a body of text to any supported language.

Paraphrases a body of text according to level of complexity required.  This is useful for simplifying complex text not understood by a user.

Corrects errors. A two part solution. First, identifies illogical statements made within a body of text. Second, attempts to restructure the statement to make it logically sound.

Recommends content for a user based on overall user trends. Users are profiled and behaviors are tracked per profile. Based on trends in user profiles, content the user is likely to be interested in will be recommended.