After four years of development, we are happy to share Airy with you.
Airy is an Open Source Conversational Platform to store, structure and utilize conversational data in a secure and privacy-compliant way.
With Airy, you can integrate with Conversational AI like Rasa to train smarter models based on actual conversations.
You can host your own open source messaging API to enable your developers to build conversational experiences even for privacy-sensitive industries, such as banking, insurance or healthcare. Airy's core platform is fully open source and runs in your own cloud or even on premise.
We built Airy on Apache Kafka for ultimate scalability, so you can ingest and stream all kinds of conversational data to:
unify your messaging channels
include human agents via an Inbox UI
gain insights from Conversational Analytics
Airy has connectors for conversational sources such as:
Facebook Messenger & Instagram
Google's Business Messages
WhatsApp Business API
SMS (via Twilio)
Airy Open Source Chat Plugin
Check out a short intro video of Airy here: https://youtu.be/zwDosYHitYg
You can start trying it out by reading on our website: https://airy.co/ph
If you like what we are doing, please give us a star on Github: https://github.com/airyhq/airy
And we are of course happy to answer your questions!
i have built a similiar thing in the past, called Dialogflow Gateway (https://dialogflow.cloud.ushakov.co), which connects Dialogflow to Web and E-Mail protocols, also open-source
check out my gh profile: https://github.com/mishushakov
i’d be very happy to hear from you, if you’re interested in joining forces/collaborating :)
Got some ideas on collaborating, send you an email.
And yes we do plan on adding more sources and are therefore listening to the community to learn which are most in-demand. So thank you very much for the feedback!
For Airy Enterprise and Managed Cloud, we usually like to listen to a potential customer's use case first and come up with a custom pricing that makes sense for both sides, usually containing fixed licensing options, volume-based components or even location-based pricing which can make a lot of sense for multi-location enterprises, but rarely works for e-commerce companies.
If you don’t want to wait you can also build your own custom source for Teams in Airy.
Take a look at our docs to get started: https://airy.co/docs/core/sources/introduction
We can also jump on a quick tech demo if the need is urgent.
Airy has a more centralized approach from the perspective of a single organization. We want to give organizations an easy way to access all conversational data across their entire organization in a structured form and help them to utilize it, e.g. to train smarter machine learning models in the interest of their customers.
This is reflected in our mission of structuring the world's conversational data to power the future of customer experiences.
I wonder how you solved media files and attachments? I remember having major headaches around transporting, storing and retrieving media files for different messaging backends, especially WhatsApp and Telegram.
Also, any plans to support WhatsApp Business containers directly?
Yes this was a very challenging problem. After many iterations we came to the conclusion that in general it's best to have no opinion on the structure of the content that is being sent. So we store every message exactly as we receive it and do platform specific file interactions in a separate stream. We then store the results in a metadata topic and use that to render messages on-demand. This immutable approach makes retrying and storage migrations easy and safe.
Regarding WhatsApp Business containers we are still waiting for them to wrap up their Beta. Currently we support WhatsApp and SMS via our Twilio messaging source (https://airy.co/docs/core/sources/whatsapp-twilio), but we definitely plan on making it a first class citizen.
Hope I could answer your questions! :)
Is this product for small size businesses? Does it need a single cloud vm or it need several servers and services, a ton of configuration and an IT degree to manage it?
Airy gives you an enterprise-grade communication infrastructure, running in a Kubernetes cluster, for example EKS with several virtual machines when you are running on AWS. Our recommended initial setup consists out of two c5.xlarge EC2 instances. This should be powerful enough to handle several conversational sources and a few hundred thousand conversations per month. We also have a few rather large SMBs among our customers, but the average SMB rarely gets to such amounts of conversational traffic yet.
Installing Airy is rather easy and can be done with our Airy CLI to set up a remote cloud instance from your local machine with a single command e.g. in AWS ("airy create --provider=aws").
We also have a tutorial detailing the individual steps to get an Airy instance up and running, and also properly secured of course: https://blog.airy.co/tutorial-airy-installation-aws/
In comparison, Airy is a much more resource-intense backend service running conversational infrastructure that you couldn't run on comparable hardware. Airy is designed to run in the cloud giving you a Kubernetes cluster with all the components to stream conversational data at enterprise-scale. For now, we primarily focus on text-based communication, but could theoretically also support transcription and processing of voice based messages or live videos.
What you get with Airy is enterprise-scale conversational infrastructure that can power millions of conversations simultaneously by ingesting messaging events in Apache Kafka, running in a dedicated Kubernetes cluster to stream and process conversational data for a variety of use cases, such as integrating with Conversational AI platforms or storing all your conversations in a data lake to run conversational analytics or train machine learning models based on actual conversations.
In that sense what we do is more like "Segment" for conversational data.
In our approach, we would rather like to integrate with for example live chat plugins provided by Intercom instead of replacing them at companies that already chose Intercom to serve their customers with a live chat plugin on their website or in their mobile apps. Airy also comes with a fully customizable open source live chat plugin and an Inbox UI for human agents, but it's not at the core of what we do.
We believe there is much more value to be gained from utilizing conversational data and we therefore like to integrate and play well with other solutions in the space as we believe that companies should have the freedom to choose the tech stack that best suits their requirements and budget restrictions.
In the Facebook ecosystem we currently have connectors and docs for Facebook Messenger and Whatsapp for example. https://airy.co/docs/core/sources/introduction
Line is on our list, and should be up in a short while.
Till we have an official connector ready you can also always use a custom source to connect Line.
As communication is core to every business, we strongly believe every company should own their conversations and utilize their conversational data in the best possible way, taking the interest and privacy of their customers into consideration.
We believe there is a unique opportunity now in the market to create an open source conversational stack and we would like to contribute to it with something we are good at and have a lot of experience in. Our goal is to create an open standard for the processing and storing of conversational data which is why we went open source.
This situation is perfectly suited from our perspective for an open core pricing model where we will continue to give away our Airy open source core platform for free under an Apache 2.0 license and sell additional enterprise licenses for optional features like advanced routing capabilities, team management, advanced storage and analytics solutions on top to enterprises that have additional requirements and more organizational complexity to deal with. Enterprises can run Airy Core + Airy Enterprise in their own private cloud or even on premise for privacy sensitive industries like banking, insurance or healthcare.
For business teams that want the full power of a conversational platform like Airy, but can't or don't want to dedicate engineering resources on their end, we also offer a fully managed Airy Cloud solution on the side. Because each Airy instance is fully independent, we can even offer this service in any region in case the relevant customer has preferences e.g. to store their conversational data exclusively in the EU or in a specific country or data center.
It looks like Mixin is an open source cryptocurrency wallet that also has peer to peer chat and a desktop version. So the only common points I see is that both projects are Open Source and use chat as an interface.
> * E2E Encryption & Storage
This worries me, I believe it's unethical and irresponsible to pay-wall privacy features.
We live in a world where companies and governments are actively spying and harming those under them.
The topic you mentioned above comes from our pricing page for the Airy Enterprise Edition and is about an additional (!) and fully optional conversational data store for archiving conversations and to provide for conversational analytics use cases. We currently only offer this additional streaming option for enterprise customers with large amounts of conversational data by leveraging data lakes on economic cloud storage solutions like AWS S3. We strongly recommend to activate server-side encryption for this storage option.
Here's a blog post we wrote about the relevant topic of utilizing data lakes as a long-term solution to store conversational data: https://blog.airy.co/introducing-data-lakes-for-conversation...
If you have further suggestions how to improve privacy features in the interest of all users, we are of course happy to discuss them.
Even among consumer use-cases, lack of privacy may be a feature. In spatial chat, for example, being in able to overhear conversation within 'earshot' is a feature. Selling private space in that context makes sense and similar to selling improved voice quality, at least to me, and there are stark operational cost boundaries in the involved tech that can complicates the picture.
Therefore this random company owes you security features for free?
Users wanting free shit is the reason why companies like Google and Facebook are doing all this spying in the first place. Those huge warehouse-size datacenters don't pay for themselves.