Firm co-founder and CEO Adit Jain says the seed cash is about scaling the corporate and gaining clients. They hope to have 50 enterprise clients throughout the subsequent 12-18 months. They at present have 16.
We wrote about the company in June when it was a part of the Y Combinator Summer season 2018 class. On the time Jain defined that they started in 2015 in India as an organization known as Chatteron. The unique concept was to assist others construct chatbots, however like many startups, they realized there was a needn’t being addressed, on this case round HR, and so they began Leena AI final 12 months to focus particularly on that.
As they delved deeper into the HR downside, they discovered most staff had hassle getting solutions to fundamental questions like how a lot trip time they’d or get a brand new child on their medical insurance. This pressured a name to a assist desk when the knowledge was out there on-line, however not all the time straightforward to seek out.
Jain identified that the majority HR insurance policies are outlined in coverage paperwork, however staff don’t all the time know the place they’re. They felt a chatbot could be a great way to unravel this downside and save numerous time looking out or calling for solutions that needs to be simply discovered. What’s extra, they realized that the overwhelming majority of questions are pretty frequent and subsequently simpler for a system to study.
Workers can entry the Leena chatbot in Slack, Office by Fb, Outlook, Skype for Enterprise, Microsoft Groups and Cisco Spark. Additionally they provide Internet and cell entry to their service unbiased of those different instruments.
What’s extra, since most corporations use a standard set of backend HR techniques like these from Oracle, SAP and NetSuite (additionally owned by Oracle), they’ve been capable of construct a set of normal integrators which are out there out of the field with their resolution.
The shopper supplies Leena with a handbook or a set of coverage paperwork and so they put their machine studying to work on that. Jain says, armed with this data, they’ll convert these paperwork right into a structured set of questions and solutions and feed that to the chatbot. They apply Pure Language Processing (NLP) to grasp the query being requested and supply the right reply.
They see room to maneuver past HR and develop into different departments equivalent to gross sales or customer support that might additionally benefit from bots to reply a set of frequent questions. For now, as a current YC graduate, they’ve their first bit of great funding and they’re going to think about constructing HR chatbots and see the place that takes them.