Making your apps faster, easier & more assessible
... And trusted by GOOGLE.
Slang Labs is the only startup in the voice assistant for apps space that Google has invested in - globally!
Models are pre-trained on data for travel domain like bus pickup and drop points, cities, towns, railway stations and airports
Built-in translation from Indian languages to English and back for conversations
Supports apps built on Android, iOS, React Native, Flutter, Web and Shopify platforms
CONVA provides deep understanding of app users by providing analytics on voice usage
CONVA alone provides the full suite of tech needed to enable voice search in travel apps
When you integrate CONVA SDK into your travel app, it comes pre-trained on most of the data points needed for bus search, train search and flight search in India.
Search travel apps for tickets using voice conversations.
Search travel apps for tickets using voice conversations.
How does it work?
1. Install Slang CONVA Travel App
2. You will see a mic "Search"
3. Enable Accessibility
4. Click to start voice search
How does it work?
1. Install the PlayGround App
2. Select your Travel domain
3. You will see a mic "Search"
4. Click to start voice search
Our Customer Success Team will provide the latest SDK that suits your app requirements
Our team will help your app engineers to complete the SDK integration within minutes.
Publish the latest APK to the Play Store and let the users enjoy multilingual voice search in app!
Our philosophy is that nobody should hesitate to experiment with voice search in apps because pricing is a barrier. Pricing of Slang CONVA is based on MSUs (Monthly Slang User) i.e. all the unique voice (CONVA) users across a calendar month.
Slang team works from all across India, but our physical office location is in Jayanagar 4th T Block of Bengaluru. But we are always a call / ping away to our customers & friends! You can find our address / location in the Contact Us section.
We are a team of 20 people building for the next billion users across India and other parts of the world. Meet us sometime! We have a diverse team with deep skills in NLP, UX, Analytics, Conversational Design, UX, Server-side and Cloud Infra tech.
Slang Labs has received seed stage rounds of funding so far and is yet to go for a Series A round. Slang Labs has received investments from Google, Endiya Partners, 100X Entrepreneur and from a few individual angel investors.
Slang Labs was incorporated in July 2017 with its head office in Bengaluru and has been operating continuously since then.
Slang Labs was co-founded by three technologists:
+ Kumar Rangarajan - CEO
+ Giridhar Murthy - COO
+ Satish Chandra Gupta - Chief Data Scientist
Slang Labs is a member of industrial bodies like NASSCOM, Startup India and Mobile Marketing Association (MMA) Asia. It is also a member of accelerators like Aditya Birla Group Accredited Accelerator (AAA) and JioGenNext.
CONVA stands for COnversational iN-app Voice Assistant. It is a full-stack solution that is consumed as an SDK by any existing mobile or web app. Upon integration, the SDK enables voice search and other functionalities in the app.
You can reach out to us by clicking on "Get Started" or "Book a Demo" buttons anywhere in this website or by writing to marketing@slanglabs.in. Then our team will contact you and help you get started with the Slang CONVA integration.
Depending on the platform for which you are integrating the Slang CONVA SDK, you will need different amounts of effort. Our basic Voice Search implementation can be completed within a matter of minutes with our team's help.
Slang CONVA has three major components - an SDK, a cloud backend and a web portal for managing UX. The SDK integrated into the mobile app acts as a window to the cloud platform which hosts most of the voice tech stack.
Slang CONVA is hosted in Google Cloud Platform currently. Apps using the SDK don't have to worry about its hosting.
CONVA voice search can be used by ecommerce apps in:
Retail - grocery, FMCG, pharma, fashion, cosmetics
Travel - bus, train and flight booking
Fintech - stocks / equity trading and investments
Slang CONVA is architected to support any major language in the world for speech recognition and conversations. But so far, we have tested it on languages like English (Indian, US), Hindi, Kannada, Tamil, Malayalam, Spanish & Vietnamese.
Typically, the voice search accuracy of Slang CONVA is high at around 94% - 96% for English and slightly lesser for Hindi. However, the continuous learning and improvement models of Slang CONVA deliver higher accuracy with more usage.