1
VOICE-BASED
CONVERSATIONSHype or Reality
September 2019
2
Foreword
Foreword
Acknowledgement
Kshitiz AroraSr. Manager –Research, NASSCOM
Debjani GhoshPresident, NASSCOM
Last year NASSCOM published its very first report on Conversational AI, focused primarily on Chatbots (text-based bots).Although text had found wide-scale adoption at that time, voice was still at a nascent stage. However, a lot has changedsince then, especially after the growing proliferation of smart speakers. 2019 has rightly been termed as the year of voiceand I strongly believe that voice has potential to bring next 300 million Indians on digital platform.
With lines blurring between Voicebots and Virtual Assistants, this report aims at presenting the landscape of Voice-basedsolutions in India. While the report highlights some of the existing and potential use cases, application areas, challenges,etc., it also presents some actionable recommendations for companies engaged in providing solutions in this domain. Hopeyou enjoy reading this report, we welcome your feedback and comments.
This report has been developed by NASSCOM Research through a comprehensive study to understand the landscape ofVoice-based solutions in India.
The preparation of this report has been possible with support from various information sources including interviews withindustry representatives, who have extended great help to the research team. We wish to sincerely thank all of them fortheir valuable contributions without which this report would not have been possible.
3
Table of Contents
Executive Summary 1
2
3
4
5
6
Outlook and Recommendations
Market Landscape Acknowledgements
Introduction Key Voice-based Solution Providers
4
Voice could play a pivotal role in enabling
e-governance and bringing next 300 million
Indians to digital platform
Shift from text-based conversational solutions
towards voice-based solutions as they are
more engaging
Gaining popularity due to growing voice searches
especially over smartphones, the largest usage channel (81%) for
voice-based solutions
Larger adoption across direct-to-consumer
applications; Enterprise use cases are also
emerging fast
2018 registered 11 notable investments in Indian
conversational AI start-ups, allowing them to strengthen their tech capabilities, add
more languages, and expand global footprints
Voice-based solutions are at a very nascent stage and
require collaborations among stakeholders to
come up with practical and scalable use cases
Executive Summary
5
Executive Summary 1
2
3
4
5
6
Outlook and Recommendations
Market Landscape Acknowledgements
Introduction Key Voice-based Solution Providers
Table of Contents
6
Conversational AI includes set of AI technologies that enable computers
to mimic humans conversations either through text or voice
• Conversational AI predominantly includes Chatbots and Voicebots
• While Chatbots are primarily associated with text conversations, Voicebots are an extension of Chatbots that use voice as an interface on top of same underlying set of technologies
• It automates user/customer facing touch points on different platforms such as social media, websites, apps, voice assistants, etc.
Text, additionally, speech-to-text on devices such as computers
Voice, on devices such as smartphones, computers, smart speakers, wearables, etc.
On-screen answers, images and videosDependency on screen to view output
Output independent of screen. However, limitation to cast images and videos in case of smart speakers
Considered more personal. Suitable for use in public places
Suitable for hands-free operations at home, car, etc.Uncomfortable to talk to in public/crowded areas
Quite high as access is through mobile devices and computers which have lower barrier of
entry
Moderate, expected to pick up as smart speakers become more mainstream
Chatbots Voicebots
INPUT
OUTPUT
PRIVACY
ADOPTION
Sources: Interviews with subject matter experts; NASSCOM analysis
7
ENTERPRISES
Faster response rate
CONSUMERS
Engaging and conversational
Preferred and natural mode of communication
24/7 availability
Conversational AI is emerging as preferred mode of communication for
consumers, it also allows enterprises to offer augmented customer experience
Predict customer behavior and offer customized services
Opportunity to up-sell and cross-sell products and services to customers
Perform analytics to make business decisions
Provide better customer service and experience at a reduced cost
Increased employee productivity
Sources: NASSCOM analysis
8
Rule-based/Scripted
Interaction with the customer happens through a predefined set of questions
AI-powered
Utilizes AI technologies such as NLP, ML, to understand user intent, learn from past conversations, respectively
Voice-enabled
Combines AI technologies with voice recognition, text-to-speech and speech-to-text APIs to accept voice inputs
Rule-based Chatbots marked the first wave of Conversational AI that were used in a close environment, primarily in an exploratory phase
Second wave witnessed use of AI technologies and emergence of specific use cases across different business verticals and horizontals
Third wave witnessed emergence of voice. Similar to Chatbots, Voicebots are still in an experimental phase and would evolve to address specific business use cases
Chatbots have hit mainstream, but there is already a shift from text-
based bots to voice-based solutions
Sources: NASSCOM analysis
Illustrative
9
Machine Learning
Allows machines to learn without being programmed and adapt itself to new data with the help of algorithms such as Deep learning and Neural network
Natural Language Processing
Allows computer program to understand human language as it is spoken or written
Terminology Extraction
Identify specific relevant terms
Sentiment Analysis
Identify positive and negative statement
Natural Language Generation
Turn data into human understandable language
Natural Language Understanding
Identify intent of the statement
Machine Translation
Automated translation of text from one language to another
NLP Detailed
Underlying AI Technologies
Low Level of Sophistication High
There is an increased focus by companies on Natural Language Generation and
Understanding - the underlying technologies that power these conversations
Sources: Gartner, News articles, NASSCOM analysis
10
Voice conversation architecture highlights the complex ecosystem
play
Virtual
Assistants
Cloud DatastoreDevices Bot Framework
Machine Learning
Cloud Function
Cloud Storage
Sources: Interviews with subject matter experts; NASSCOM Analysis
Google Cloud PlatformAmazon LambdaAzure Functions
Google Cloud DatastoreAmazon DynamoDB
Azure Cosmos DB
Google Cloud StorageAmazon S3
Azure Blob Storage
DialogflowAmazon Lex
Microsoft Bot frameworkWatson Assistant
Illustrative
11
Executive Summary 1
2
3
4
5
6
Outlook and Recommendations
Market Landscape Acknowledgements
Introduction Key Voice-based Solution Providers
Table of Contents
12
51%
49%48%
45% 45%
India China Indonesia UAE Thailand
% of Internet users using voice enabled functionality (any device)Global smart speaker shipment (million)
22.0 24.2
11.2
23.4
1
8.9
0.1
7.13.6
0.5
10.8
2017 2018
Amazon Google Alibaba Xiaomi Baidu Others
• According to IDC, sale of smart speaker is expected to grow 32% (CAGR) through 2017-2022 to reach USD17.4 billion• Almost one-third of 3.5 billion searches conducted on Google today consist of voice searches. Going forward, voice searches are expected to
account for half of all searches
34.8
78.0
Increasing penetration of smart speakers and growing voice searches
are the key drivers for the emergence of voice technology
Sources: Canalys, News articles
13
Impact of virtual assistants – by sectorImpact of virtual assistants – by business function
Overall Perceived
Impact
Research indicates that virtual assistants are expected to create highest
impact on Indian businesses after Machine Learning
• Finance and Accounting is expected to experience highest business impact of virtual assistants. Whereas, IT/ITES sector leads other sectors in terms of impact of virtual private assistants on businesses
Sources: PwC
50% 50% 50%
41%
22%
Accounting Operations Admin. IT Finance
46%
35%33%
30% 29%
IT/ITES Technology BFSI Manufacturing Education
14
Platform Providers
Platforms and applications that allow development and distribution of voice-based solutions. These platforms could either be proprietary or open source
Developers / Integrators
Develop, build, deploy and manage voice-based solutions. Deployment could be on Cloud or On-premise
End Users
End users could either be enterprise of direct-to-consumers
Enterprise UsersSolutions that reach the customer directly for specific use cases such as seeking information, managing smart devices, etc.Employee Focused
Solutions that address employee focused enterprise use cases such as personal office assistants, revenue reconciliation, etc.
Solutions that address customer focused enterprise use cases such as billing, payment, etc.
Sources: Interviews with subject matter experts; NASSCOM analysis
While consumer is at the center of voice-based solutions, enterprise
use cases are also fast emerging
Direct-to-Consumers
Customer Focused
Illustrative
15
36% 35%
25%19%
Google Assistant Apple Siri Amazon Alexa Microsoft Crotana
Platform providers are focused on strengthening voice capabilities,
increasing user base through new products and partnerships Digital assistants used by people
Partnered with Qualcomm, Epson, Whirlpool, Kohler to launch voice-enabled headphones, printers, washing machines, bathroom lines, respectively
Acquired Superpod to boost Google Assistant’s capabilities to answer users’ questions
Acquired Laserlike to improve Siri’s search capabilities
Acquired voice app development software provider PullString to ease development for iOS developers
Acquired Graphiq, a semantic search and data visualization company to enhance Alexa capabilities
Filed a patent related to detecting physical and emotional wellbeing of users based on interactions captured in voice data
Acquired speech technology startup Semantic Machines that focuses on conversational AI
Announced its first wearable device from the Surface product line, a wireless, bluetooth, noise canceling headphone, featuring Cortana
Sources: Microsoft; News Articles; NASSCOM Analysis
Illustrative
16
Notable Conversational AI Transactions
SAP acquired Recast.AI, a Paris-based start-up that focuses on conversational
user experience technology, to accelerate development of its Leonardo ML
capabilities
Reliance Joi acquired (87% stake) Haptik to boost its digital
ecosystem and provide Indian users conversational AI-enabled devices
with multi-lingual capabilities
Salesforce acquired Bonobo, a conversational AI platform that
allows companies to analyse their calls, texts, emails, live chat, etc., and
produce actionable insights
Reliance Industries acquired Reverie, a developer of end-to-end voice
technology stack, to integrate its Indic language localization services with
Reliance’s digital consumer platforms
Airtel acquired AI firm AuthMeincluding IP for its flagship solution Callup AI, a chat and voice assistant that resolves customer queries over
e-mail, chat and phone calls
Flipkart acquired speech recognition firm Liv.ai in a bid to accelerate an provide end-to-end conversational
shopping experience, including voice, for its users
Cisco acquired MindMeld to power new conversational interfaces including voice
and chat for its collaboration suite. In May 2019 Cisco transferred MindMeld assets
into an open source license
Enterprises across the globe are focused on acquiring voice-based
conversational capabilities
Sources: News Articles; NASSCOM Analysis
Illustrative
17
Apart from consumer solutions, enterprises’ focus has also been on
offering enterprise virtual assistant solutions
Enterprise-ready voice assistant for
meetings
Voice-controlled smart whiteboards
Scheduling software to book conference
rooms
Integrated Amazon Alexa with its open-
source cyber security solution
Voice assistant that creates briefings,
make updates, and open dashboards
Virtual assistant for healthcare providers
Voice assistant for meeting
Sources: News articles; NASSCOM Analysis
Illustrative
18
Conversational AI is key focus area of about one-fourth AI start-ups in
India
12%
5%
5%
7%
7%
7%
12%
17%
28%
Others
IT/Security Management
BPM Automation/Decision Automation
AI Platforms
Image Processing/Computer Vision
Vertical Application (except healthcare)
Healthcare/Medical
Intelligent Analytics/BI
Conversational AI/Chatbots/ChatbotPlatforms/NLP Engines
Application of AI in solutions
Sources: IT Next
Illustrative
19
7
28
13
11
2017 2018
Global India
Conversational AI Transactions
(# of deals)
Key deals in Conversational AI segment India
Deal DescriptionAI-based voice platform for regional languages raised USD1.8 million in series A funding from Accel India and Ideaspring Capital. The investment will be used to strengthen the product by adding more Indian languages.
Enterprise conversational AI solution startup raised Series A funding of USD4 million from Lightspeed Venture Partners and others to strengthen its deep tech capabilities and expand its teams and geographic presence.
Developer of AI assistants for raised USD2 million from Pi Ventures to accelerate product development, increase customer acquisition and investigate new vertical markets.
Local language voice-based health content provider raised USD5 million in Series A funding from Nexus Venture Partners, and others to strengthen voice, video and VR interfaces.
AI-enabled voice platform for call centers raised USD8 million in Series A funding led by Nexus Venture Partners.
Company
Sources: News articles
With increased funding, start-ups are focusing on strengthening their
tech capabilities, adding more languages, and expanding geographically
Illustrative
20
28%
28%
31%
34%
35%
36%
67%
82%
Make Payment/SendMoney
Book Cab
Control Smart Devices
Order Meal
Buy Products
Access Customer Service
Play Music/Stream Videos
Seek Information
Key Application AreasUsage channel for voice enabled devices
Smartphone
81%Smart speakers
32%
Screen-based device (excluding phones)
Innovative voice-enabled use cases / product integrations
Capture patient data
University information
systemMedia
streamingSmart helmets
Food storage system
Cable TV Apparel Gaming
7%
Sources: Capgemini; News articles
Voice has found larger adoption across direct-to-consumer
applications….
21
Entertainment
…leading to increasing collaborations of voice platform providers with
consumer and automotive companies and OEMs
Range of voice activated speakers based on Google assistant, Alexa and Crotana
Search content, launch streaming apps, control playback, etc., through voice commands
Issue commands via a headset microphone or a connected smart speaker, enable multitasking features
Home Automation
Bath products based on Alexa, Google Assistant, and Apple HomeKit platforms
Range of voice-enabled thermostats, security cameras and sensors
Secure Home Platform enabled router with Alexa skills to manage connected home’s network security using voice
Automotive
Control smart home devices, provide visual feedback on screen, update calendar
Audio and on-screen responses, play music, control home automation, etc.
Integrated Siri with Car-Net mobile app to lock/unlock vehicle, check estimated mileage, enable Honk & Flash commands, etc.
Smart speakers Bathroom Car Manufacturer
Media streaming devices Sensors
OEMsHome SecurityGaming
Sources: News articles; NASSCOM Analysis
Illustrative
22
• Lack contextual and emotional awareness, sound robotic
• Smart speakers yet to hit mainstream in India
• Lack of screen, resulting in lack of visual cues
• Technological challenges such as latency in responses, ambient noise
• Social mental block of speaking to a machine, especially in crowded places
• Privacy and security concerns while sharing personal data
• Lack of clarity about right business cases and related tangible benefits
• Inability to answer random questions leading to dissatisfied consumers
• Understand limited set of utterances and intents
• Concerns about sharing confidential information with third-parties
• Uncomfortable speaking to a voice-enabled device in work environment
• Voice-based solutions need to work hand in hand with human agents
• Limitations of underlying platforms and algorithms that are unable to handle complex conversations
• Limited computing capabilities of existing systems
• Platforms’ inability to process wide range of dialects, accents, etc.
• Lack of data to train voice-based solutions
• Distribution and discovery due to limited number of users and use cases
While voice-based solutions are gaining traction, they still need to overcome
challenges faced by consumers, enterprises and service providers
CONSUMER
ENTERPRISE
SERVICE PROVIDER
Sources: NASSCOM Analysis
23
Executive Summary 1
2
3
4
5
6
Outlook and Recommendations
Market Landscape Acknowledgements
Introduction Key Voice-based Solution Providers
Table of Contents
24
Voice could play key role in driving digital literacy in India by bringing
next 300 million Indians on digital platforms
Voice could facilitate access to government services for regional language speakers and the illiterate. National e-Governance Division (NeGD) has planned to offer these services through voice assistants to smartphone users. Further to double the reach, it plans to offer these services through feature phone
Voice would be the next big thing to bring about 300 million Indians from semi-urban and rural areas on the digital platform
Voice would drive innovative use cases for under privileged and illiterate such as filling forms, help children with studies, empower visually impaired, etc.
Voice could play key role in customer service automation across different sectors. Innovations such as vocal biometrics for customer authentication and emotional analysis
would strengthen customer’s trust and enhance customer experience
With about 90% non-English speaking population, advancements in speech recognition, NLP and vernacular technologies would boost voice adoption
Sources: News articles; NASSCOM Analysis
Voice has potential to open-up conversational commerce in India. While, lack of visual cues would still be a
bottleneck, buying some of the routine/standard products would be a good start
Voice will play a key role in smart home and office automation. Companies are offering smart automation solutions. However, they are
a bit expensive and will find larger adoption as the cost comes down
25
First line of interaction Voice could be the first line of interaction
for customers; Would be able to handle first-level support requests
Perform complex tasks With an increase in computing power, voice-based solutions would move well beyond simple tasks and perform complex tasks
Conversational analyticsEnable enterprises to connect conversations to business systems to automate and address customer queries, analytics and take further action
Provide one view Coupled with other digital solutions such as IoT,
analytics, image recognition, etc., voice-based solutions would be able to compile information
and deliver actionable insights
Smart living Home automation due to of increasing smartphones penetration and proliferation of smart speakers
Voice-based solutions could act as the first touch-point for both
consumers as well as enterprises
Sources: Interviews with subject matter experts; NASSCOM Analysis
26
Personal assistants taking dictation, transcribing
meetings and emailing notes to participants, book meeting
room, etc.
Automate customer calls and enable outgoing calls to customers
Office
Automation
Hospitality
RetailSales and
Marketing
Healthcare
Concierge services at hotels to enable check-in or for other
information and services
In-store shopping support for customers to locate products, provide information
such as price, product availability, etc.
Provide real-time product information and dashboard support to on-field sales and marketing teams
Support surgeons in operating rooms by taking notes, maintain and fetch
patient’s clinical data
Customer
Support
Mobile Apps
Integration of voice into mobile apps to provide ‘Voice + Visuals’, reduce clicks and page visits and eventually better experience
Sources: Interviews with subject matter experts; NASSCOM Analysis
As voice-based solutions evolve they will find innovative, scalable and
practical business use cases across sectors and business functions
27
Need for new AI algorithms
The algorithms used at present to create voice-based platforms have limited capabilities. There is need for industry and academia collaborations to create new algorithms that could be implemented in a practical
manner across real business use cases
Seamless transition across different conversational channels
Companies should focus on developing solutions that would provide seamless transition from one conversational channel to the other
Voicebots on IP telephony
IP Telephony is the first point of contact and the biggest channel for customer support. Service providers should
focus on integrating voice-based solutions into IP Telephony
Multi-tasking voice-based solutions
Voice-based platform providers and developers should focus on providing solutions that could allow users to combine more than one solution and perform multiple tasks simultaneously
Proactive and predictive voice-based solutions
Service providers should focus on providing solutions that provide recommendation, and offer personalized content
based on previous interactions
Voice-based solutions with voice adoption
Voice-based solutions should be able to adapt to the voice sample provided by the user
Sources: Interviews with subject matter experts; NASSCOM Analysis
However, there is need for research collaborations among the stakeholders
to take voice-based solutions to next level
28Sources: Interviews with subject matter experts; NASSCOM Analysis
Voice provides significant opportunities for players in the ecosystem to
provide both isolated, as well as integrated solutions and services
Conversational Platforms
Create platforms that could be used by developers to build, deploy and run conversational user interfaces.
These could be Enterprise and Consumers applications
Full Stack Services
Build, host, manage and deploy conversational applications
across different channels and interfaces, including voice
Product Realization
Offer bot building services by using any of the conversational platforms or 3rd party tools to
create conversational solutions
Bot Framework
Build services, tools, and SDKs that would allow developers to build and connect conversational solutions
NLP / Voice APIDevelop pre-trained models that could help developers extract and analyze natural language to determine sentiment, intent, entities, etc. Key among them include voice-to-text, text-to-voice, language translation
System Integrators
Use own / other conversational platforms and tools to build conversational solutions for specific client requirements
29
Executive Summary 1
2
3
4
5
6
Outlook and Recommendations
Market Landscape Acknowledgements
Introduction Key Voice-based Solution Providers
Table of Contents
About• Mihup is engaged in building voice technology platforms
for various devices and applications such as phones, PCs, tablets, and IoT devices
• Mihup’s speech API and SDK enables developers to convert audio and spoken sentences to text. It’s NLP API enables query parsing and answer retrieval
• The company is backed by Accel Partners, Xelp and Ideaspring Capital
Products and Solutions• It offers intelligent voice interfaces in Indian languages for
enterprises in Media and entertainment, Automotive (Connected cars), Customer contact center and Smart home businesses
Key Technologies Leveraged• Automatic speech recognition (offline and online)
• NLP
Notable voice-based Conversational AI companies in India (1/7)
Mihup Uniphore
About• Uniphore is a provider of Conversational AI, offering an
integrated suite of software products for conversational analytics, conversational assistant and conversational security
• It serves customers from different sectors including BFSI, Outsourcing, healthcare, etc.
Products and Solutions• akeira: Conversational assistant to drive customer
engagement
• auMina: Conversational analytics for intelligent insights
• amVoice: Conversational security to prevent fraud & identity theft using voice biometrics
Key Technologies Leveraged• NLP
• Speech recognition
• Machine learning
Sources: Company website
About• Floatbot is an omni-channel customer engagement chatbot
and voicebot development platform
• It offers multi-language voice-based solutions integrated with Amazon Alexa, Google Home, Google Assistant and IVR systems
• In addition to developing solutions, Floatbot also allows users to create solutions using it’s DIY platform
Products and Solutions• Floatbot allows integration with popular enterprise
applications such as Zendesk, Google Calendar, Salesforce and Freshdesk
Key Technologies Leveraged• NLP
• Deep neural network
Floatbot Avaamo
About• Avaamo is a provider of conversational AI platform for
enterprises to design and deploy omni-channel intelligent assistants
• It caters to Financial services, Retail, Healthcare, Insurance and Telecom sectors
• It offers over 150 pre-built integrations with business applications like Salesforce, Oracle, SAP, Workday, ServiceNow, etc.
Products and Solutions• It offers solutions for contact centers, supply chain
management and service desk automation
Key Technologies Leveraged• NLP
• Machine learning
• Deep neural network
Notable voice-based Conversational AI companies in India (2/7)
Sources: Company website
About• Voxta is a full speech stack technology company with its
proprietary speech recognition engines in a variety of Indian languages and Indian English
• It caters to companies from BFSI, eCommerce, Content and Media, Travel and Telecom sectors
Products and Solutions• It offers a configurable voice bot platform for multilingual
voice bots on mobile phones or IVR virtual agents for call centers, and call center analytics
• It supports information FAQ’s, transactions or customer service, and speech analytics
Key Technologies Leveraged• Speech recognition
• Text to speech
Voxta Haptik
About• Haptik is one of India’s leading conversational AI
companies that has reached over 100 million devices, and has processed over 2 billion conversations till date
• It caters to over 150 clients from Financial Services, eCommerce and Retail, Media and Entertainment and Travel and Hospitality sectors
Products and Solutions• It offers both chatbots and voice bots for application areas
such as customer service, customer feedback, user engagement and lead generation
Key Technologies Leveraged• NLU
Notable voice-based Conversational AI companies in India (3/7)
Sources: Company website
About• Yellow Messenger is an omni-channel conversational AI
tool, offering personalized customer service to companies across different sectors including BFSI, Automotive, Consumer Goods, Education, Energy and Utilities, Media and Entertainment, Pharma and Healthcare, Retail and eCommerce, Telecom and Travel and Hospitality
Products and Solutions• It offers multi-lingual text and voice based solutions for
application sales and marketing, HR, IT service management, admin. and operations and customer support functions
Key Technologies Leveraged• NLP
• Machine learning
Yellow Messenger BotArtisanZ
About• BotArtisanZ is a chatbot development company engaged in
designing, developing and training chatbots and voice apps with conversational abilities, context sensitivity, and personality traits
• It caters primarily to eCommerce and Hospitality industry
Products and Solutions• The company develops skills for Amazon Alexa and Google
Home
• Its chatbot and voicebot development team offers engineering, training, design and maintenance ands support solutions for chatbot and voice apps development
Key Technologies Leveraged• NLP
Notable voice-based Conversational AI companies in India (4/7)
Sources: Company website
About• DheeYantra is a provider of platforms for creating multi-
lingual voice and text enabled conversational assistants for enterprises
• It allows businesses to engage, communicate and serve native language speakers in their own language
Products and Solutions• Artificial Vernacular Agents
• NLP APIs
• Indic Transliteration
• Indic OCR
Key Technologies Leveraged• NLP
• Machine vision
DheeYantra Supertext.ai
About• Supertext is a conversational commerce platform that
enables enterprises to build virtual agents to automate business processes such as front desk customer engagement, back office task automation on conversational interface
• It caters to companies from eCommerce, sports media, insurance and fintech space
Products and Solutions• Chatclay: It is a conversational solution with multi-platform
modularity including voice, text, website, IOT devices & VR platforms
Key Technologies Leveraged• NLP
• Machine learning
• Deep learning
Notable voice-based Conversational AI companies in India (5/7)
Sources: Company website
About• Vernacular.ai is a multi-lingual AI platform that manages
customer engagement and call center automation solutions
• It caters to companies engaged in sectors such as Banking and Financial Services, Hospitality, Retail, Travel and Food and Beverages
Products and Solutions• Vernacular Intelligent Virtual Assistant (VIVA) that enables
effortless conversations on any channel through voice, text or touch
Key Technologies Leveraged• NLP
• Machine learning
• Automatic speech recognition
Vernacular.ai Cogknit Semantics
About• Cogknit Semantics is a technology product start-up firm
engaged in applying deep learning to text, speech, images and videos to build enterprise and SaaS based products and solutions
• It caters primarily to companies engaged in Medical, Healthcare, Retail, Entertainment, Media and eCommerce
Products and Solutions• Deep speech solutions
• Computer vision
• Convergence
Key Technologies Leveraged• Data science
• Deep neural networks
• Automatic speech recognition
Notable voice-based Conversational AI companies in India (6/7)
Sources: Company website
About• Senseforth.ai is a provider of Conversational AI solutions
that allow enterprises to automated human-like conversations over text and voice
• It caters to companies engaged in Banking, Insurance, Telecom, Retail, Healthcare, Travel and Hospitality, Real estate and Education sectors
Products and Solutions• It offers a wide range of pre-built business bots for
customer service, knowledge management, employee engagement and analytics and insights
• A.ware: An AI platform that has with deep learning capabilities, allowing enterprises to build smart bots
Key Technologies Leveraged• NLP
Senseforth Light Information Systems
About• Light Information Systems (NLP Bots) offers intelligent AI
NLP platform for ITEs companies and system integrators to build custom scalable enterprise bots
• It has developed technology for semantic understanding of structured & unstructured data along with its proprietary neural networks
Products and Solutions• Employee Assist
• Customer Assist
• Marketing Assist
• Hiring Assist
• Visitor Assist
Key Technologies Leveraged• NLP
Notable voice-based Conversational AI companies in India (7/7)
Sources: Company website
37
Executive Summary 1
2
3
4
5
6
Outlook and Recommendations
Market Landscape Acknowledgements
Introduction Key Voice-based Solution Providers
Table of Contents
38
Gopal Mishra
Satheesh V Vivekananda Pani
Raghavendra Kumar Ravinutala
Darshan Shankavaram
Ritesh Radhakrishnan
Animesh Samuel
Aakrit Vaish
Anuroop Iyengar Kunal Mittal
Contributions
Nitin Gera
39
NASSCOM is the industry association for the IT-BPM sector in India. A not-for-profit organization funded by the industry, its objective is to build a growth led and
sustainable technology and business services sector in the country. Established in 1988, NASSCOM’s membership has grown over the years and currently
stands at over 2,500. These companies represent 95 percent of industry revenues and have enabled the association to spearhead initiatives and programs to
build the sector in the country and globally. NASSCOM members are active participants in the new global economy and are admired for their innovative business
practices, social initiatives, and thrust on emerging opportunities.
Disclaimer
The information contained herein has been obtained from sources believed to be reliable. NASSCOM
disclaims all warranties as to the accuracy, completeness or adequacy of such information. NASSCOM
shall have no liability for errors, omissions or inadequacies in the information contained herein, or for
interpretations thereof.
The material in this publication is copyrighted. No part of this report can be reproduced either on paper or
electronic media without permission in writing from NASSCOM. Request for permission to reproduce any
part of the report may be sent to NASSCOM.
Usage of Information
Forwarding/copy/using in publications without approval from NASSCOM will be considered as
infringement of intellectual property rights.
NASSCOM Plot 7 to 10, Sector 126, Noida – 201303
Phone: +91-120-4990111Email: [email protected], Web: www.nasscom.in
Visit our e-community at https:// community.nasscom.in
About NASSCOM
40
Thank You
Top Related