Rulai has launched a low-code chatbot development tool that enables customer service managers to build chatbots without writing code. The toolkit uses a drop-down interface for scripting and creating action items, including integrations with a company’s back end. Rulai’s bots rely on the company’s natural language processing and mixed-initiative/mixed-task technology to remember context, conduct multi-round conversations, escalate to human agents, and adapt based on real-time feedback. The product is aimed specifically at customer service managers rather than developers. The company is led on technology by UC Santa Cruz computer science professor Yi Zhang and has teams with offices in Beijing and Campbell, Calif. Rulai raised $6.5 million in new financing to roll out the product and is positioning AI strength and human-bot handoff as key differentiators in a crowded market.

Total raised

$7M

Funding rounds

1

Latest round

Equity

Latest activity

May 2017