Loqativ Chatbot Platform / Engine

Loqativ is a powerful, flexible chatbot platform with an API for easy integration

loqativ platform facebook messenger bots

### Fully Customisable Loqativ is our proprietary engine that powers all our chatbot projects. We provide a full chatbot co-creation service. We work with you to develop a concept, design and test the product in an iterative process with real users, and either provide a managed service or set up hosting on your own infrastructure.
### Advanced NLP capabilities Loqativ can integrate with any NLP system and Atchai has expertise in building custom NLP solutions to meet non-standard requirements.
Dialogflow
wit.ai
ibm watson


### Multi-platform Loqativ allows you to design your chatbot experience once and deploy it across all major platforms. We support all features of Facebook Messenger out of the box and can integrate with your existing mobile app or website.


### Push Notifications You can push updates to your subscribers in real-time. Facebook Messenger is a one to one channel so you're not competing to get your content seen in the Facebook news feed.


real time updates facebook messenger

### Drive Engagement Set up quizzes, competitions and polls to solicit user generated content from your users. Capture a wide range of media including photos, videos and audio.


ugc bot facebook messenger

### Analytics We'll set up real-time analytics with the market leading bot analytics products. You'll be able to see every interaction with your bot along with aggregate statistics on usage and custom KPIs.



### No Management Overhead You don't want to manage any more systems so we can seamlessly integrate with your existing CMS or CRM. This allows you to update content in the bot easily with no additional overhead.
### Tried and Tested Used by everyone from UK Government to Fortune 500 FMCG and media brands, our bots have passed the most stringent security tests and we can ensure you are GDPR compliant. Our bots are blazingly fast as Loqativ is built with Node.js and deployed on cloud infrastructure using Docker container management.



From our blog

How to run a successful chatbot project