Overview
AI Copilot for Customer Support
The Dataland Copilot is an AI assistant built to accelerate customer support teams. The Copilot lives as a side panel right inside helpdesk software (Zendesk / Salesforce / Kustomer), and automates repetitive tasks that customer support reps normally have to do by hand. Dataland first uses LLMs to understand the incoming customer message, and then automatically surfaces all relevant customer context directly to the rep (e.g. account information, recent interaction history, data lookups based on IDs mentioned by the customer). This allows the rep to fully resolve the customer issue without ever having to leave their helpdesk software, which significantly simplifies their workflow. Normally, a rep would have to open up 5-10 different tabs to gather all the information they need in order to resolve the customer issue, but with Dataland they can instantly see it all at a glance. Dataland is able to do this because it connects to all the different systems, SaaS apps, and databases that house customer information, and makes it readily available to the AI. Because the Copilot is a side panel that lives right inside helpdesk software, reps never have context-switch between multiple tools - their workflow becomes 100% streamlined. Dataland has sped up case handling by 4x at fast-growing companies like Sendoso ($150M+ raised) and Gorgias ($100M+ raised).
Details
- Version0.0.5
- UpdatedJanuary 30, 2025
- Size130KiB
- LanguagesEnglish
- DeveloperRealism Labs IncWebsite
20 Jay St Ste 828 Brooklyn, NY 11201 USEmail
support@dataland.ioPhone
+1 540-383-8246 - TraderThis developer has identified itself as a trader per the definition from the European Union and committed to only offer products or services that comply with EU laws.
- D-U-N-S118299947
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
