Meekan, one of the most successful Slack bots, uses natural language understanding to understand user priorities in scheduling meetings. Initially, the company relied on LUIS, a cloud API by Microsoft, for turning text into intents and entities. However, this approach created two major challenges for the growing company:
Meekan wanted to take their NLU in-house, but didn’t have the resources to build LUIS from scratch.
After evaluating different solutions, Meekan adopted Rasa’s toolkit. Rasa provides the ability to customize and take full control of their NLU without a big research team. Using the fast migration guide, Meekan went from idea to production in four weeks - importing the existing training data from LUIS directly. After a few tweaks and internal tests, the NLU model was ready; the switch to Rasa was done without interruption for end users.
Meekan overcame the challenges associated with LUIS by successfully implementing Rasa:
Meekan also decreased the latency period, meaning faster response times at scale.
Location: Tel Aviv, Israel