Markprompt

Markprompt

Software Development

AI for customer support (YC W24)

About us

AI for customer support (YC W24)

Website
https://markprompt.com
Industry
Software Development
Company size
2-10 employees
Headquarters
San Francisco
Type
Privately Held
Founded
2023

Locations

Employees at Markprompt

Updates

  • Markprompt reposted this

    View profile for Michael F., graphic

    Co-founder Markprompt (YC W24) | Maths @ Cambridge

    Here is what we shipped in the past weeks at Markprompt: - Automatic message processing with: - Taxonomy/triaging - Sentiment analysis - Urgency level - CSAT scores - New insights charts: - Escalation rate - Answered/unanswered rate - Citations - Support ticket deflection template with follow-up questions: markprompt.com/templates - Attach case number to a thread via our Threads API: https://lnkd.in/ezZFgsiv - Zendesk case creation integration - Slack integration - Raycast extension

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  • Markprompt reposted this

    View profile for Michael F., graphic

    Co-founder Markprompt (YC W24) | Maths @ Cambridge

    Here is what we shipped at Markprompt in January: 1. New sources: Salesforce Case and Zendesk Tickets You can now generate new answers and drafts based on past resolutions. The LLM prioritizes recent tickets over earlier ones. PII is removed at import time. 2. New RAG pipeline We have drastically improved the retrieval algorithm, ensuring that the most comprehensive and precise context is brought in to generate answers. For instance, instead of pulling in individual sections from a knowledge base, related sections are also pulled in. The algorithm adjusts its behavior depending on the model being used, so that it can fully leverage the available context window, such as the 128k tokens of GPT-4 Turbo. 3. Chat completion filters Want to only pull in certain parts of your indexed knowledge base for certain interactions? For instance, for a user on the Enterprise plan, you may want to include all articles with the “Enterprise” tag, but these should not be included for users on the free plan. With filters, you can specify rules on article metadata for what content should be used in a given situation. 4. Support for gpt-4-turbo-preview Instead of specifying a pinned version of GPT-4 Turbo, such as gpt-4-0125-preview, you can now use gpt-4-turbo-preview and always be on the latest version. Incidentally, the latest version of GPT-4 Turbo improves handling of “laziness”, where the model doesn’t always complete a task, such as a step-by-step action. 5. Improved detection of “No response” situations When the LLM cannot answer a question, it tells so in the most adapted way, using formulations that fit into the flow of the conversation. It doesn’t just leave an empty answer or say “No response”, which sometimes makes it tricky to detect. Our new LLM-based approach captures these situations robustly. 6. Advanced website importer Some websites are notoriously difficult to import, because of server settings, long loading times, dynamically rendered content, and more. Our new website importer is built for situations where a standard approach falls short. 7. Mobile widget The Markprompt chat widget is now fully responsive, and works well on devices of all sizes. 8. Sticky chat The widget also supports a new "sticky" flag, so that it remains on-screen when the user is browsing a page, or navigating to other pages. 9. Updated /threads API The threads API now offers an "expand" flag that allows you to pull in all message data in a single call.

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Similar pages

Funding

Markprompt 1 total round

Last Round

Pre seed

US$ 500.0K

Investors

Y Combinator
See more info on crunchbase