CONVA Copilots can help make your search experience faster, reduce the funnel drop-offs, cut down the customer care costs, improve your end user experience and also help you attract half a billion new users to your app. All these metrics improvements help increase the revenue and profitability of your business!
GIVE the right products - every time!
300% Better Product Discovery
CONVA eliminates the fundamental barriers to finding the right products such as wrong spellings, not knowing names of items and English language as a barrier to interact!
make every search fruitful - for users & you!
Improve Search Conversions
30% drop-offs in the Ecommerce Apps are because of search and browsing related issues which are smoothened out or even eliminated by the CONVA Voice Assistants making it the easiest way to improve search conversions!
go beyond tier-1, english speaking india!
Attract 500 Million New Shoppers
Nearly 500 million smartphone owners across India are yet to shop online using Ecommerce because of language and accessibility related barriers in the existing Touch+Text centric apps. CONVA Voice Assistants are multilingual and can help these people shop with ease & trust!
CONVA Platform offers highly accurate category-specific voice Copilots that are easy-to-integrate
CONVA Voice Copilots are available across native iOS, Android, Flutter, React, Web and Shopify platforms
Deliver vernacular and multilingual experience for your app users with the same English language backend
CONVA gives insights about product preferences, shopper intents, brand awareness and more with CONVA
Full Stack Solution
CONVA offers an end-to-end solution for voice & text driven search, action, navigation and recommendations
CONVA Assistants can be placed anywhere & everywhere in the app for convenience & seamless experience
CONVA Omni Launched at ET Retail & Ecommerce Summit June 2023
Omni Search Assistant for Apps
Generative A.I. powered
NLP Optimized for Ecommerce
Frequently Asked Questions
What is CONVA Omni by Slang Labs?
CONVA Omni is a Multimodal Co-pilot for Apps and Web. It helps users #SearchAnything across Product Catalogs, Product Description Pages and responses for frequently asked queries to the Customer Care center.
What is the pricing of CONVA Search?
Our philosophy is that nobody should hesitate to experiment with voice search in apps because of pricing as a barrier. Pricing of CONVA Search is based on Monthly Active Users (MAU) of the mobile app as counted within the calendar month every month.
Where is the Slang Labs office?
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.
How big is the Slang Team?
We are a team of 20+ people building for the next billion users across India and other parts of the world. Meet us sometime in our office - the coffee is on us! We have a diverse team with deep tech skills such as NLP, ASR, Analytics, Conversational Design and Micro Services.
What is the funding stage of Slang Labs?
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 angel investors.
When was Slang Labs established?
Slang Labs was incorporated in July 2017 by the three Founders with its head office in Bengaluru.
CONVA Omni Assistants are augmented by the power of Generative A.I. technology that enables users to ask broad-based queries and for the app to understand a broad range of intents from the user's queries.
What exactly is CONVA?
CONVA is a COnversational iN-app Voice Assistant platform built by Slang Labs. It is a cloud-based full-stack solution that is consumed as an SDK by apps. Upon integration, the SDK enables voice search and other conversational capabilities in the applications.
How do I try CONVA without integration?
CONVA voice search and other capabilities can be explored on your own mobile phone without doing any integration or spending a single dollar! Just download and install the CONVA Glimpse App or just install our own CONVA Demo App from the Play Store.
How hard is it to integrate CONVA SDK?
Depending on the use cases which you want to enable inside your mobile or web app, CONVA SDK will need different amounts of effort and time to integrate. Our basic Voice Search implementation can be completed within a matter of minutes WITHOUT our team's help.
What are the components of CONVA?
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.
Is CONVA Platform a hosted solution?
CONVA is hosted in Google Cloud Platform currently. Apps using our SDK don't have to worry about hosting.
Which industries can use CONVA?
CONVA Search can be used by mobile apps /sites in: Retail - grocery, FMCG, pharma, fashion, cosmetics Travel - bus, train and flight booking Fintech - stocks / equity trading and investments
What languages does CONVA support?
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, Hindi, Kannada, Tamil, Malayalam, Spanish & Vietnamese.
Is CONVA a chatbot with voice?
NO. Slang CONVA is a smart voice assistant for apps, whereas a chatbot is a parallel solution that is overlayed on mobile and web apps to answer pre-stored questions. Read detailed differences between the two in this blog.
How accurate is the speech recognition?
Typically, the voice search accuracy of CONVA is high at around 94% - 96% for English and a little lesser for Hindi. However, the continuous learning and improvement models of CONVA deliver higher accuracy with more usage of the voice assistants by consumers.
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CONVA - COnversational iN-app Voice Assistant Platform - helps Ecommerce Apps to increase their revenues with better product discoverability and by eliminating multiple drop-off reasons in the consumers' path to purchase
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