Lang.ai supercharges your Zendesk or Salesforce platform by automating time-consuming manual tasks like tagging, prioritization and routing.
AI that literally takes minutes to implement as you build your tags combining concepts visually instead of spending months using a traditional AI approach.
Fully integrated with Zendesk for one-click tags and automations to avoid tedious processes that are prone to errors like manually tagging and escalating support tickets. As support volume grows, Lang.ai is a key platform in your tech stack.
Lang.ai learns from your historical data to be fully personalized to your business. Get to the root of the problem with Lang.ai concept discovery. Let any team: Product, Marketing, Sales structure data with their own criteria to drive a customer-centric strategy.
Thanks to our visual flexible approach, you can set up Lang.ai for other processes to save days of work from your team and your customers, whereas its surveys, claims, call notes... Our platform surfaces relevant concepts so that you can adapt it to any process in a fast and transparent way.
We surface key relevant concepts only from your own private data using unsupervised AI.
You decide which concepts are relevant for your business and group them into tags that will apply in real time.
Our platform works in real time to tag your data instantly and surface new concepts so that you focus on serving your customers.
Instant connection to your data and transparent results in minutes with no need of any technical knowledge.
“A lot of decisions are based on the KPIs we define using support data. Before Lang.ai, there was ambiguous categorization as agents were analyzing similar tickets with different criteria.
With Lang.ai, you’re making decisions with more confidence.
Once we started using Lang.ai, we realized auto-categorization is an enabler for other processes like prioritization or setting up internal notes for agents which has been super useful”
Lang.ai is just so nimble and has so much potential once you start using it. Out of the box, it took us two days to make automated tagging 15% more reliable than a previous platform that we had had in production for 2 years, with the added benefit that now all of our teams can tap into and exploit our support data.
The marketing team has built workflows to understand key customer moments, our data and analytics team is super excited about having all these new tags in Snowflake and it’s crazy how easy it is to use. We have now promoted a person from our quality control team to work in Lang.ai full-time and she is super excited to be one of the first in their community of Citizen NLP Builders.
Lang.ai has an impressive product that we saw early on could be used as an intelligence layer on top of all our free-text data to create our classification models. The fact that they have such an accessible UI that our CX team loved was a great signal for us to buy it from the office of the CDO so that every business area can leverage it.
We’re also excited about how we’ve been working closely with the team on their governance roadmap as their goal of making NLP accessible is proving that the amount of users and projects can grow quickly
