Top 10 Best Assistance Technology Companies In India In 2023
Top 10 Best Assistance Technology Companies In India In 2023
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INTRODUCTION
In 2023, India is set to become a leader in the development of advanced assistance technologies. Several key companies are at the forefront of this industry , creating innovative solutions that improve people’s lives. Related Articles
May 6, 2023
Companies like AIBrain, Flutura, and SayOne are leading the charge in developing artificial intelligence technologies that can assist people in their everyday lives. Additionally, many Indian companies are working on voice-based assistants, such as Microsoft Cortana, Amazon Alexa, and Apple’s Siri. Other companies are leveraging the power of machine learning to develop predictive technologies aimed at improving user experience. These include startups like Niki.ai, which helps users shop online using natural language processing and Ubear, which provides an automated customer service system. All of these companies are harnessing the capabilities of cutting-edge technology to create products and services that make life easier and more efficient. IMPORTANCE
In 2023, assistance technology companies in India will be playing a pivotal role in the nation’s economic development. The growth of the digital economy and the increasing demand for help from businesses and consumers alike has catalyzed the growth of these companies. Assistance technology companies are helping to create innovative solutions to improve customer satisfaction, reduce costs and increase efficiency. They are providing services like customer service automation, customer self-service, virtual agents, customer support ticketing systems, chatbots, natural language processing, machine learning, predictive analytics , robotic process automation, and process optimisation. These technologies are being used to help organisations streamline their processes and reduce the cost of operations . Furthermore, the advanced analytics tools used by assistance technology companies can help organisations gain valuable insights into their customer’s behaviour and preferences. By getting a better understanding of customer needs, companies can offer more tailored solutions that provide greater value to customers. This also helps in building trust and loyalty between the organisation and its customers. Also, these companies are providing advanced security solutions to protect data from cyber-attacks. They are using technologies like encryption, authentication and access control to ensure secure online transactions. With the advancement of artificial intelligence, these companies are able to detect malicious activities and protect the data from unauthorized access. Overall, assistance technology companies are becoming an integral part of the Indian economy in 2023. With their innovative products and services, they are helping organisations and individuals make their lives easier and more efficient. Here are the top 10 best assistance technology companies in India in 2023
Haptik – Haptik is a conversational AI and chatbot platform based in India. It helps businesses create automated customer service experiences by seamlessly integrating with existing applications, including CRM , ticketing, payments, ecommerce, social media, and more. Haptik’s technology recognizes intent, understands context, and captures the entire conversation history so that customer conversations can be automated without having to manipulate or code manually. The platform also offers a suite of analytics tools to help businesses measure customer engagement, response rates, and overall customer satisfaction. With Haptik, businesses can deliver one-on-one customer experiences on any channel, including voice, SMS, web, mobile, and messaging platforms like WhatsApp and Facebook Messenger. In addition, Haptik also offers a built-in AI assistant that can help automate customer inquiries at scale. Haptik’s flexible pricing plans allow businesses to choose from pay-as-you-go plans for small to medium-sized businesses and enterprise-level plans for large organizations. Haptik is trusted by leading brands such as Sony Pictures, Zomato, and Airtel. Niki.ai – Niki.ai is a leading artificial intelligence-based customer service platform that helps businesses engage with customers in an automated, conversational way. Niki.ai was founded in 2015 by Sachin Jaiswal and Keshav Prawasi, who were both working on their own projects to make customer service more efficient. The company has since grown exponentially and now serves thousands of businesses globally. Niki.ai offers an AI-powered customer service platform that enables businesses to provide personalized and seamless customer service experiences. The company’s platform uses natural language processing (NLP) and machine learning (ML) technology to understand customer requests and respond with the best possible solutions. It allows businesses to interact with customers in both text and voice format and can be integrated into existing customer service processes and software. Niki.ai also provides businesses with an analytics dashboard to track customer interactions, performance metrics, and other customer data, as well as a range of advanced features such as automated escalation, live chat support, and clever bots. With these tools, businesses can gain deeper insights into customer behaviour and improve customer satisfaction. In addition to its customer service platform, Niki.ai also offers a range of other products, including an automated assistant, a customer service platform for multiple channels, and a business intelligence tool. The company has received numerous accolades and awards over the years, including several prestigious international awards, and is backed by leading venture capital firms and angel investors. Flutura – Flutura is a data science and artificial intelligence (AI) company that focuses on industrial analytics. Founded in 2012, the company provides a suite of products that enable customers to transform their operations for the Industry 4.0 era. Their solutions leverage real-time machine data to deliver insights that help customers make better decisions faster. Flutura leverages AI and predictive analytics to power its decision-making platform, Cerebra. Cerebra enables customers to monitor their entire industrial environment in real-time, predict potential outcomes, and take preemptive action to prevent issues from occurring. To do this, Cerebra collects, stores and analyzes massive amounts of data from across an organization’s plant floor. It then uses AI algorithms to draw correlations between events and patterns that can be used to optimize operations and improve decision-making. In addition to Cerebra, Flutura also offers other analytics products, including their flagship solution, Cortex. Cortex is a cloud-based analytics platform that helps users manage, analyze and optimize their industrial assets. By combining machine learning and deep learning algorithms with historical and real-time data, Cortex helps customers optimize operations, improve production efficiency, and reduce operational costs. Flutura’s solutions have helped customers in various industries, such as energy, automotive, healthcare, oil & gas, and food & beverages. Its solutions are currently being used by Fortune 500 companies, government agencies and universities worldwide. With offices in San Francisco, Chicago, Bangalore and Dubai, Flutura has established itself as one of the leading providers of industrial AI and data science solutions. Tuplejump – Tuplejump is a technology company that specializes in big data solutions. Founded in 2011, their mission is to help businesses make better decisions based on data. They provide enterprise-grade software products and services to companies of all sizes, from small startups to large enterprises. Their core solutions include analytics, data integration, machine learning, and real-time streaming and batch processing. Their team consists of experts in various fields, including data science, engineering, and product design. Their products are designed to be user-friendly and scalable, as well as reliable and secure. They also have extensive experience with open-source technologies such as Hadoop, Apache Spark, and Kafka. Their products enable customers to harness the power of big data to gain deeper insights into their business processes. By leveraging machine learning algorithms, they can automate tedious tasks and uncover hidden patterns in the data. These insights can then be used to optimize operations and improve customer experiences. The company is constantly pushing the boundaries of big data by developing new technologies. For example, they recently launched Apollo, a unified data platform that simplifies the process of managing and analyzing large datasets. They also offer services for deploying data pipelines, setting up analytics infrastructures, and creating custom solutions tailored to specific customer needs. Tuplejump has a strong commitment to customer service and provides 24/7 support. They also provide free training materials, tutorials, and other resources to help customers get up and running quickly. They believe in giving back to the community through open-source initiatives and regularly participate in hackathons and other events. iNautix – Inautix is a leading IT services company based in India. Founded in 2000, the company specializes in providing software solutions for enterprises ranging from large and established corporations to small startups. Inautix’s focus is on leveraging technology to deliver innovative, cost-effective, and efficient business solutions. The company offers a wide range of services, including enterprise application development, web design and e-commerce development, cloud computing, testing, product engineering and more. Inautix is known for its high-quality services and products, which can help organizations improve their online presence, increase revenues and expand their customer base. In addition, Inautix employs professionals with extensive experience in different areas, such as software engineering, data science, machine learning, AI and blockchain. As a result, the team is highly skilled and has the ability to develop complex systems and applications quickly and effectively. In addition, Inautix has strong partnerships with leading technology providers and works closely with them to ensure that customers are able to get the most out of the latest technologies. The company also offers a wide range of support services and provides training for customers who wish to develop their own applications using the latest technologies. Overall, Inautix is an experienced and reliable IT services provider that helps businesses achieve their goals by leveraging the latest technologies and providing innovative solutions. The company’s experienced team of experts provides comprehensive support, enabling customers to experience maximum productivity and efficiency. Senseforth – Senseforth is a leading artificial intelligence company that was founded in 2021. They specialize in natural language processing (NLP) and machine learning (ML) technology. Their products are used by businesses across the world to make their customer service more efficient, increase sales, or analyze large amounts of data. Senseforth’s technology utilizes NLP and ML to understand customer queries, detect sentiment, and respond appropriately. The company employs a team of experts in these areas so that they can provide cutting-edge solutions to their clients. Senseforth also partners with other tech companies to provide even more powerful AI capabilities. Their main focus is on serving their customers with the best AI possible. Senseforth has quickly become a leader in the industry because of its commitment to innovation and dedication to providing quality AI solutions. They are continuously working to develop new technologies that drive better customer experiences, more accurate analytics insights, and faster response times. With Senseforth, businesses can benefit from the most advanced AI on the market. Kibo Connect – Kibo Connect is an assistive technology company based in India that focuses on developing and providing communication solutions for people with speech and hearing impairments. The company was founded in 2012 by Mr Prateek Agarwal, who was inspired to start the company after observing the communication difficulties faced by his own grandfather, who had suffered a stroke and was unable to speak. Kibo Connect’s flagship product is the Kibo Speech Device, which is a portable, handheld device that converts text into speech in real time. The device uses a unique combination of speech synthesis and natural language processing to provide accurate and natural-sounding voice output. It also includes features such as a customizable vocabulary, predictive text, and the ability to store frequently used phrases for quick and easy access. In addition to the Kibo Speech Device, Kibo Connect also offers a range of other assistive communication solutions, including software applications for smartphones and tablets, as well as a web-based communication platform. The company’s solutions are designed to be user-friendly and customizable, allowing individuals with communication impairments to communicate effectively in a variety of settings, including at home, in school, and in the workplace. Kibo Connect’s mission is to empower individuals with communication impairments by providing them with innovative and affordable assistive technologies. The company has won several awards for its work, including the NASSCOM Social Innovation Award and the HULT Prize Regional Finals Award. Kibo Connect’s products and services have helped thousands of individuals with communication impairments to lead more independent and fulfilling lives. Thinkerbell Labs – Thinkerbell Labs is an Indian edtech company that specializes in developing innovative and accessible learning solutions for children with visual impairments. The company was founded in 2016 by alumni of the Indian Institute of Technology, Delhi, and is headquartered in New Delhi, India. The company’s flagship product is the Annie, which is a Braille learning device that uses audio and haptic feedback to help children with visual impairments learn Braille in a fun and engaging way. Annie includes a Braille display, audio output, and tactile buttons, which allow children to learn Braille by listening to audio instructions and feeling the Braille characters. The device also includes games and quizzes to make the learning process more interactive and enjoyable. In addition to the Annie, Thinkerbell Labs also offers a range of other Braille learning solutions, including software applications and educational materials. The company’s solutions are designed to be user-friendly and customizable, allowing teachers and parents to tailor the learning experience to the individual needs of each child. Thinkerbell Labs’ mission is to improve the accessibility of education for children with visual impairments and to empower them to reach their full potential. The company has won several awards for its work, including the NASSCOM Social Innovation Award and the Global Edtech Startup Award. Thinkerbell Labs’ products and services have helped thousands of children with visual impairments to learn Braille and develop essential literacy skills, enabling them to succeed in school and in life. Softweb Solutions – Softweb Solutions is a leading global technology, consulting and business solutions provider. Founded in 2004, they have an extensive history of delivering high-quality end-to-end solutions to clients across the globe. With offices in the US, Canada, Singapore, India, the UK, Australia, and Dubai, Softweb Solutions has a strong track record of exceeding customer expectations. Their services include enterprise mobility, application development, cloud computing, digital transformation, AI & Machine Learning, Internet of Things (IoT), web & e-commerce development, software testing, and IT infrastructure services. The company is well known for its comprehensive and comprehensive approach to developing innovative solutions that drive business growth. They also have experience working with a range of industries, such as manufacturing, healthcare, finance, retail, and hospitality. The team at Softweb Solutions is composed of highly qualified and experienced professionals with expertise in multiple areas, allowing them to offer their customers superior service and quality. Through their commitment to their customer’s success, Softweb Solutions strives to provide an unparalleled level of service and value. Clarifai India – Clarifai India is a software development and artificial intelligence (AI) research company based in Bangalore, India. They specialize in developing AI models for computer vision, natural language processing, and image recognition. Their focus is on helping businesses and developers build powerful machine learning-based products to better understand the world around them. They provide comprehensive solutions for businesses with AI projects of any size and complexity. Their platform enables businesses to quickly create and deploy custom AI models, reducing time to insights and ROI. Clarifai India works with various industries, such as financial services, automotive, retail, healthcare, security, and gaming. For example, their AI-powered computer vision technology allows customers to automatically detect and classify objects in images, videos, and live streams. They also offer specialized AI models tailored to specific use cases, such as medical imaging, facial recognition, and gesture recognition. Clarifai India’s team consists of world-class experts in machine learning and AI, and they are working on a wide range of AI applications. They provide high-quality customer service and have an extensive library of training data and resources. Their products are designed with scalability and performance in mind, making them ideal for large-scale projects. With their cutting-edge technology and expertise, Clarifai India is helping to drive innovation and progress in the world of AI. CONCLUSION
In 2023, India’s assistance technology companies will continue to be a major player in the global market. With an increased focus on automation and AI, these companies are offering innovative solutions to businesses of all sizes. These companies have seen tremendous growth due to the increasing demand for their services. They offer a variety of products and services ranging from data analytics and processing, customer service, natural language processing and AI-driven decision-making. With its vast talent pool, India is well-positioned to provide highly qualified professionals to the fast-growing industry. Going forward, Indian assistance technology companies will continue to lead the way in providing cost-effective and reliable tech solutions.

Top 10 Best Assistance Technology Companies In India In 2023

Inductiv desarrolló tecnología que utiliza inteligencia artificial para automatizar la tarea de identificación y corrección de errores en los datos. Apple ha comprado varias otras compañías de inteligencia artificial y datos en los últimos años, incluyendo a Xnor.ai, Tuplejump, Laserlike, Turi y Perceptio. (Foto: Reuters)
Actualizado el 28/05/2020 a las 01:59
Apple Inc. compró la startup de aprendizaje automático Inductiv Inc., que se suma a más de una docena de adquisiciones relacionadas con inteligencia artificial por parte del gigante tecnológico en los últimos años. El equipo de ingeniería de Inductiv, con sede en Waterloo, Ontario, se unió a Apple en las últimas semanas para enfocarse en Siri, aprendizaje automático y ciencia de datos. Apple confirmó la negociación, diciendo que “compra compañías tecnológicas más pequeñas de vez en cuando y generalmente no discutimos nuestro propósito o planes”. Inductiv desarrolló tecnología que utiliza inteligencia artificial para automatizar la tarea de identificación y corrección de errores en los datos. Tener datos limpios es importante para el aprendizaje automático, un tipo popular y poderoso de inteligencia artificial que ayuda a que el software mejore con menos invención humana. El trabajo queda clasificado dentro de la categoría de ciencia de datos, un elemento clave de la estrategia general de aprendizaje automático de Apple. En 2018, la compañía contrató a varios ingenieros de Silicon Valley Data Science, una firma de consultoría que se enfoca en este campo. John Giannandrea, el ejecutivo de Apple a cargo de Siri y el aprendizaje automático, ha estado actualizando la tecnología subyacente que se incluye en el asistente digital Siri y otros productos con tecnología de inteligencia artificial de la compañía. Inductiv fue cofundado por profesores de aprendizaje automático de Stanford University, University of Waterloo y University of Wisconsin, Madison. El profesor de Stanford, Christopher Ré, cofundó previamente otra compañía de inteligencia artificial, Lattice Data, que Apple compró en el 2017. No está claro si Ré, o los otros cofundadores de Inductiv, Theodoros Rekatsinas e Ihab Ilyas, se han unido a Apple. Apple ha comprado varias otras compañías de inteligencia artificial y datos en los últimos años, incluyendo a Xnor.ai , Tuplejump, Laserlike, Turi y Perceptio. Este año, la compañía compró Voysis para impulsar el reconocimiento de voz en Siri, la startup de realidad virtual NextVR y la popular aplicación meteorológica para iPhone Dark Sky. Tags Relacionados:

Apple compra startup de aprendizaje automático para mejorar Siri

Apple Acquires Hyderabadi Startup, Tuplejump
Known for delivering out-of-the-box, performance based strategies in the marketing and technology domain, Envigo has footprints in India and UK. Led by Saurabh Kumar, an alumni of National Institute of Technology, Karnataka and IIM, Ahmedabad, Envigo partners with over 90 clients world-wide, worked with more than 300+ brands so far, across 24 countries and 4 continents, adding 10 to 15 more clients in the hospitality sector by the end of 2017. Talking about the use of Artificial Intelligence (AI), Big Data & Automation, Kumar feels that the use of AI in predictive and backward-facing analysis presents big opportunities for digital agencies. “ROI focussed agencies are looking to implement AI in programatic Ads and personalisation for customers. So, we understand that all the visitors are not in the same phase of buying cycle. Be it web, mobile or any other channel, there is a need to understand what the customer requires. Hence, capturing customer actions, actionable insights and creating cross platform user experience becomes prime focus. Once we gather enough information, we can target customers and capitalise by capturing micro moments. With use of advanced analytics, marketing automation, custom web and mobile solutions, we have been able to shift from Communication to Engagement Strategies which can be implemented on all connected devices.”
Therefore, for the last 18 months Kumar has shifted the company’s focus to automation. “We created a cloud based SaaS solution which can automate various kinds of tasks and can be applied to a number of verticals. We now have a full-fledged product which is being used in functions like finance, manufacturing and in-house. For now we are using third party software for data analytics but we are looking to increase our knowhow in field of big data analytics.”
Kumar lists out the trends across digital marketing sector and new age tools for better ROI:
• Digital marketing is increasingly being leveraged for customer engagement (46%) and customer service (35%) in addition to driving brand awareness and lead generation/sales
• Digital marketing is increasingly eating into the share of print medium though print and television continue to rule the roost
• Richer audience engagement, inclusion of the rural consumer, automation and data analytics are going to be the focus areas for marketers in the next three years
• Digital media-spend is slated to be INR 18,500 crore by 2020, constituting a larger pie of the overall media spends
• The big spenders on digital media will be: E-commerce accounting to 19% or INR 1,309 crore of the total digital spends; FMCG at 14% (INR 935 crore); Telecom (12%) and BFSI (11%); The other significant contributors are consumer durables (9 %), automotive sector (8%), media & entertainment (8 %) and retail (6 %). New-age tools for better ROI
AI Based

Why Machine Learning, Automation is Crucial for Brands?

Apple Acquires Hyderabadi Startup, Tuplejump
In the last article having explained Machine learning as the field of Computer Science that “learns” from data without human intervention leads therefore to a logical question that is really a guessing game - which jobs will or won’t be replaced by machines – this article looks at some aspects of job impact on account of Machine learning / AI. Recalling, as an youngster in 70’s, when LIC of India automated and created in what was then called as EDP (Electronic Data Processing) Department, the employees declared a National strike ! The reason for the strike was that the machines will adversely impact current employees and future recruits. Many of those employees who are happily retired now, thank LIC for the creation of EDP department that in fact created additional jobs. Earlier this week media reported WIPRO setting up of bots and cutting jobs. Also was reported Tata Motors cutting jobs but not that of Blue Collar. Any automation, by definition will affect portions of almost all jobs to a greater or lesser degree, depending on the type of work they entail. However it is unlikely to eliminate occupations / jobs entirely in the foreseeable future, at least in India. A McKinsey study (McKinsey Quarterly, July 2016) in USA indicated that technologies available today, could automate 45 percent of the activities for which people are paid to perform and that about 60 percent of all occupations could see 30 percent or more of their activities automated in the next few years. In industry many types of activities have the technical potential to be automated, but that potential varies significantly based on % of time spent on predictability and repetitiveness of the job performed. The hardest activities to automate with currently available technologies are those that involve managing and developing people or that apply expertise to decision making, planning, or creative work. These activities, often characterized as knowledge work, can be varied, spontaneous, where automation can provide an excellent support job but humans are still needed to provide proper goals, interpret results, or provide checks and balances. Thus in Managing others (HR)  Applying expertise (Doctors, Chefs, Sportsmen) Stakeholder interactions (P.R., Waiters & Nurses) Unpredictable physical work (Forestry, projects )that are essentially non repetitive / unpredictable, automation could only be a support and not an eliminator of a  job. Besides Technical potential, Technical feasibility needs to be considered since each whole occupation/ job is made up of multiple types of activities, each with varying degrees of technical feasibility! For example though a Salesman’s job may seem repetitive and admin and reports part of it can be automated, it is unlikely a salesman will be eliminated. Similarly, the importance of human interaction is clearly evident in two sectors that, so far, have a relatively low technical potential for automation: Healthcare and Education! Therefore, in practice, automation will depend on more than just technical feasibility -  four other factors are involved viz. 1) costs to automate; 2) the relative scarcity, skills, and cost of workers who might otherwise do the activity; 3) benefits (eg, superior performance) of automation beyond labour-cost substitution; and 4) regulatory and social-acceptance considerations. The above considerations were the primary for India to become major ITES outsourcing destinations essentially on account of cost arbitrage versus skills and automation. Now Indian  IT / ITES is also slowly gearing  up to the fact that in some sectors machine learning & AI will impact their revenues thus making significant realignment to their portfolios and jobs. Disclaimer: The views expressed in the article above are those of the authors' and do not necessarily represent or reflect the views of this publishing house
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Machine Learning - Job Loss or Not?

Apple Acquires Hyderabadi Startup, Tuplejump
Machine learning, a sub area of Artificial Intelligence, gives computers the ability to learn without explicitly being programmed. Recent advancements in this field has opened up immense possibilities to solve some of the problems which otherwise were very difficult to resolve with traditional system. Traditionally, most of the problems were solved through a rule based system driven by experts. This approach works well for problems in which experts have complete control of the solution, however there are many problems of which, the solutions evolve with time and experience. The challenge with a traditional approach is that the system can only be as good as experts from the past world, thereby becoming a huge limitation in a fast dynamically changing world. It is very difficult to cope up with complexity of rules and their mutual influences over a period of time. Due to these reasons, problems which constantly required evolved solutions with input data, were not immensely flourishing. Problems like anomaly detection in large data set, auto classification, efficiency prediction, image recognition etc., were not resolved elegantly until machine learning came out of academia and started finding practical applications in different verticals like automobile, marketing, medicine etc. Real estate is not an anomaly here. In my view, there are many problems which can be solved very smoothly using machine learning. PropTiger.com, Housing.com & Makaan.com being a technology-led real estate company, we sensed a big opportunity here to make our systems more efficient and predictable. We applied machine learning approach for various things like lead quality prediction, user recommendation and the likes. It is heartening that it came as a boon for cost reduction supply collection. Being supply aggregator platform at Makaan.com, we allow developers, brokers and home owners to upload their listings on the platform. Traditionally, a huge team internally used to check all the data points or images being uploaded by these users to check if they were relevant or not. We realised that we have millions of listings in our systems and that over last so many years we have also marked what is right and wrong. We tried semi-supervised machine learning and delegated the task of checking the quality to machines. In few iterations, it was found that computers were able to achieve the objective very effectively. This led to more than 70% reduction in cost and the good part is that the system is getting more and more intelligent with time as it gets more data for learning. There are many more similar opportunities for companies to reinvent some of the traditional solutions resulting into more cost effective and efficient outcome. As a technologist, I am excited to witness these developments where technology is not only leading to offer better outcomes for our consumers, but also helping companies remain learner for better growth. Disclaimer: The views expressed in the article above are those of the authors' and do not necessarily represent or reflect the views of this publishing house
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Machine Learning Arrives in Real Estate: Opens Up Door to Cost Efficiency and Productivity Improvements

OpenGov

Anaplan

ChartCube

JackBe

Sun Microsystems

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.

Artificial Intelligence

Acquired

Tuplejump is a unified data mining and analysis platform to leverage users data equity and build on it.

Date	9/22/2016
Round	Acquired
Amount
Investors	Apple
Valuation	$99M
Revenue	0 FY undefined
Sources	4

First funding	9/22/2016
Last Funding	9/22/2016
Investor	Apple
Rounds	1 Acquired
Board Seats
Type	Corporation
Location	California

Wells Fargo Success Story

Professional Services

Platform Overview

tuplejump

Investors Count

Funding, Valuation & Revenue

tuplejump Investors