slanglabs.in

slanglabs.in Product Information
What is CONVA?
CONVA is a voice-first generative A.I. co-pilot builder platform for mobile and web apps. It enables natural, multilingual, and multimodal conversational A.I. experiences for app users.
How to use CONVA?
To use CONVA, integrate the CONVA SDK into your mobile or web app. This will enable voice search and other conversational capabilities in your application.
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?
The pricing of CONVA Search is based on the monthly active users (MAU) of the mobile app as counted within the calendar month every month.
Where is the Slang Labs office?
The Slang Labs office is located in Jayanagar 4th T Block, Bengaluru.
How big is the Slang Team?
The Slang Team consists of 20+ people with deep tech skills in NLP, ASR, analytics, conversational design, and microservices.
What is the funding stage of Slang Labs?
Slang Labs has received seed stage rounds of funding and is yet to go for a Series A round. It has received investments from Google, Endiya Partners, 100X Entrepreneur, and angel investors.
When was Slang Labs established?
Slang Labs was incorporated in July 2017 with its head office in Bengaluru.
Who are the founders of Slang Labs?
Slang Labs was co-founded by Kumar Rangarajan, Giridhar Murthy, and Satish Chandra Gupta.
Who are the customers of Slang Labs?
Slang Labs has worked with category leaders like Nykaa, ICICI Direct, Redbus, SpiceJet, Trainman, BigBasket, ApnaKlub, Medbikri, Critical Mention, P&G, Unilever, and more across the retail, FMCG, travel, and fintech industries.
Does Slang Labs work with government?
Slang Labs has partnered with several population-scale initiatives and programs in India such as BHASHINI and ONDC.
What are the memberships of Slang Labs?
Slang Labs is a member of NASSCOM, Startup India, MMA Asia, Aditya Birla Group Accredited Accelerator, JioGenNext, and more.
What is special about CONVA Omni?
CONVA Omni assistants are augmented by the power of generative A.I. technology, enabling 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 consumed as an SDK by apps, enabling voice search and other conversational capabilities.
How hard is it to integrate CONVA SDK?
Depending on the use cases you want to enable, integrating the CONVA SDK will require different amounts of effort and time. Basic voice search implementation can be completed within minutes without the 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 acts as a window to the cloud platform, which hosts most of the voice tech stack.
Is CONVA Platform a hosted solution?
Yes, CONVA is hosted in the Google Cloud Platform, so apps using the SDK don’t have to worry about hosting.
Which industries can use CONVA?
CONVA Search can be used by mobile apps/sites in industries such as retail (grocery, FMCG, pharma, fashion, cosmetics), travel (bus, train, flight booking), fintech (stocks/equity trading, investments), and more.
What languages does CONVA support?
CONVA is designed to support any major language in the world for speech recognition and conversations. It has been tested on languages like English, Hindi, Kannada, Tamil, Malayalam, Spanish, and Vietnamese.
Is CONVA a chatbot with voice?
No, CONVA is a smart voice assistant for apps, while a chatbot is a parallel solution overlayed on apps to answer pre-stored questions. There are detailed differences between the two.
How accurate is the speech recognition?
Typically, the voice search accuracy of CONVA is high, around 94-96% for English and slightly lower for Hindi. With continuous learning and improvement, the accuracy can be even higher.