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Reduce development cost and complexity, and increase developer happiness, with the most powerful companion to any conversational AI project. | Dasha is a conversational AI as a Service platform. Dasha lets you create conversational apps that are more human-like than ever before, quicker than ever before and quickly integrate them into your products. |
Refactoring of training phrases; Continuous optimization of intents; Merging intents; Processing conversation logs in real time; Data labeling; Machine learning assisted workflows; Intent discovery and training | Declarative language for conversation design; VSCode extension; native STT, NLP, NLU, NLG and TTS; Support for external TTS; Voice over SIP Trunk; Node.js SDK; Voice over GRPC; Text over GRPC; API-first; Open developer platform; Unlimited conversational depth; High conversational concurrency; Robust digressions and intents for the human-like experience; Custom intents training |
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Olark is a lightweight tool to chat with visitors to your website using your existing instant messaging client. Visitors to your website appear as buddies on your Buddy list, their messages to you appear as IMs.

Zopim is focused on serving the needs of web users that hasn’t been met by other chat solutions: the need for usability, convenience and simplicity of design

It is a live chat support & messaging application that focuses on successful communication between businesses and their customers.

rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

Chat with website visitors, integrate your favorite tools, and deliver a great customer experience.

Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.

It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.

It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.

Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.