Smartbots helps businesses build and manage AI-powered conversational interfaces in the enterprise ecosystem to improve engagement and user experience. Their platform can be used by enterprises to build chatbots and virtual assistants for a variety of use cases.

With a rising number of projects in banking, insurance and telecom, Smartbots needed a powerful data labeling and engineering platform to centralize their growing NLU data and develop templates to accelerate the design and development of future projects.

Since implementing HumanFirst, Smarbots has reduced the NLU design and development cycle for new clients by 7x.

Before HumanFirst

Smartbots initially managed their NLU data across scattered excel files. The design and development of new projects’ NLU was done with manual processes and consisted of the following:

Intent identification and data mapping took Smartbots’ team on average 2 weeks to complete. Efficiently re-using their NLU data for new projects was very difficult to achieve with their current workflows.

With HumanFirst

Thanks to HumanFirst, we’ve accelerated the NLU design and  development for new projects from 2 weeks to 2 days.
– Jaya Prakash, Co-Founder and CTO

Centralization & Re-usability

Smartbots centralized their NLU data from scattered excel files to HumanFirst. Using HumanFirst’s ML-assisted data engineering workflows, Smartbots refactored their NLU data and built re-usable intent templates for the following verticals: banking, insurance and telecom.

Fictional data

HumanFirst Studio makes it easy to manage multiple intent catalogs through workspaces. Its drag and drop UI makes the management and continuous improvement of these intents efficient at scale.

To learn more visit HumanFirst's documentation here.

Labeling Efficiency

Smartbots utilizes raw conversational data from client chat logs and maps this data to the appropriate intent to increase their NLU’s accuracy. This crucial step was one of the most time consuming tasks. With HumanFirst’s active-learning labeling workflows, Smartbots has been able to drastically improve their labeling efficiency.

Fictional data

HumanFirst’s data pipeline powers machine learning powered workflows that make labeling data at scale drastically more efficient than manual techniques.

To learn more visit HumanFirst's documentation here.

About HumanFirst

HumanFirst is the developer-first labelling and data engineering platform for conversational data. With a powerful data pipeline, ML assisted workflows and API - teams use HumanFirst to continuously optimize their NLU data at scale and build NLU-powered features and analytics.

About Smartbots

The SmartBots platform can be used by enterprises to build conversational user interfaces, chatbots and virtual assistants for a variety of use cases. It offers integration into chat interfaces such as messaging platforms, social media, SMS, website chat, etc and enterprise systems such as Salesforce, SAP, or similar. It offers several modules that heavy lifts most of the complex BOT building functionalities and needs. The platform offers pre-built templates, enterprise connector configuration capabilities, and omnichannel integration features. The SmartML and SmartAI modules ensure enterprise specific language learning and artificial intelligence capabilities.