Top 10 Deep Tech Companies In India 2022
Autonomous systems, robots, smart homes/cities, medical devices, cleantech, energy efficiency, and much more growing or emerging application fields are all impacted by dee tech.
Deep Tech is defined as technology-based on real-world technical innovation or scientific breakthroughs. Deep Tech is frequently distinguished by its profound enabling power, differentiation it can create, and ability to catalyse change. Deep Tech firms often have fundamental and defendable engineering discoveries that set them apart from firms that focus on incremental refinement or supply of standardised technology or rely solely on business model innovation to develop opportunities.
Deep technology can affect various applications and cover several technological domains. Processing and computing architecture improvements, breakthroughs in semiconductors and electrical systems, power electronics, vision and speech algorithms and techniques, artificial intelligence and machine learning, haptics, and more are examples of technological advancements.
Deep tech refers to a group of cutting-edge and disruptive technologies based on scientific breakthroughs, engineering, mathematics, physics, and medicine—new technical applications with the potential to alter people’s and society’s existence significantly.
Life science, computing, food and agritech, aerospace, energy and cleantech, industrial technologies, telecom, new materials, and chemistry are the most profitable industries for deep tech applications.
Artificial intelligence, deep learning, and machine learning are examples of deep technology.
What will 2022 look like for the deep tech startup industry:
Our lives have changed dramatically in the last two years as the world has battled the COVID-19 pandemic. Nobody could have predicted how the entire population, governments, and businesses would react in the aftermath of the pandemic just a few years ago.
Deep-tech and digital technologies have enabled us to keep moving forward by allowing technology in every aspect of our lives. Deep-tech businesses and startups will have a greater impact in the coming year.
Deeptech startups will continue to significantly influence Machine Learning (ML), IoT, mobility, and Blockchain.
AI & ML:
Artificial Intelligence and Machine Learning (AI & ML) are not just the stuff of textbooks or geek fantasies but are now affecting people from all walks of life. Companies began utilising profound learning-based predictions, pattern recognition, natural language processing (NLP), recommendation, and sentiment analysis on their goods to enable automation and personalisation.
AI and machine learning will be boosted by leading tech companies focusing on billions of dollars in this sector, and we will see a significant leap in 2022. Autonomous vehicles and voice-based virtual assistants are two critical sectors that will benefit significantly from continued advancements in AI and ML.
Simultaneously, several entrepreneurs will create impactful solutions in fintech, agriculture, and healthcare to shake up the old incumbents since technological developments will disrupt these industries.
For example, we’ve seen the growth of neo-bank startups that use superior technology based on data science, AI, and machine learning to deliver better banking, lending, and insurance services for a fraction of the cost of traditional banks.
Similarly, many agricultural firms are springing up to help farmers and merchants use data to make better decisions about harvesting, selling, and storing their goods, ultimately leading to increased output and money.
Internet of Things:
IoT is accelerating new trends such as working from home, digitalisation, and intelligent living during and after Covid. Startups will bring innovation in hardware and software products in 2022, thanks to a better connection such as 5G and better outcomes based on smart gadgets.
People will increasingly rely on smart IoT gadgets to connect, interact, and live their lives.
Smart home automation is an excellent illustration of how voice-enabled devices will make our lives easier and even evolve into a single device for all of our requirements, whether you want to watch a Netflix series on your smart TV or shop on Amazon.
When Apple released the iPhone for the first time, it spawned a multibillion-dollar parallel app economy, allowing individual developers and entrepreneurs to take advantage of the smartphone ecosystem to build new products and services.
Individuals and businesses will use the capabilities of IoT devices to create unique products for industry and consumers, which will follow a similar path in IoT.
Deep-tech startups will make promising advances in smart cities, home automation, and home security.
We began to notice the effects of pollution created by our actions. Some cities are so dirty that they are uninhabitable, and others deal with floods or water shortages. Mobility and car pollution are the two main culprits.
In India, innovators bring an electric mobility revolution to deliver inexpensive two-wheeler mobility, extending to cars. Due to self-awareness and rising fuel prices, which will drive numerous deep-tech entrepreneurs to develop innovative electric mobility solutions in 2022.
This will open up opportunities in manufacturing, service, and designing integrated solutions like smart charging stations, among other things, and this area will be beautiful for deep-tech startups.
When blockchain initially appeared in the news, many people were sceptical of its long-term viability, dismissing it as the hype. However, time has demonstrated that blockchain technology is here to stay and is progressing rapidly.
Cryptocurrency, NFT, and Decentralized Finance are all utilising blockchain technology and drawing the brightest brains of our time to create things that were unimaginable just a few years ago.
Many startups that use blockchain for healthcare and consumer verification (KYC) have begun to offer services to businesses to help them streamline their processes. It will be fascinating to see how these blockchain firms fare in 2022.
Overall, 2022 appears to be an excellent year for deep-tech startups, with these businesses having a significant impact on our lives and economy.
Deep-tech businesses are becoming popular targets for multinational corporations:
Large companies are purchasing many deep-tech businesses in India to access esoteric technologies and high-quality talent, indicating a strong demand for disruptive technology startups that can tackle complex global problems.
KPIT Technologies Ltd. stated in June that it had signed a definitive deal to purchase a controlling share in Bengaluru-based Pathpartner Technology for Rs. 191 crores. The latter specialises in product engineering services for automotive, consumer electronics, broadcast, medical, and Internet of Things industries. In addition to its presence in Germany and Japan, PathPartner operates an offshore research facility in California.
KFin Technologies, a Hyderabad-based registration services provider, owned by General Atlantic, purchased a 17 per cent interest in insurance startup Artivatic.ai for an unknown sum in May. The acquirer can also expand its stake in Artivatic.ai to a controlling position. The investment is intended to help KFintech broaden its capabilities by expanding into insurance technology.
In September, Eagle Eye Networks, a cloud video surveillance company based in the United States, bought Bengaluru-based AI startup Uncanny Vision to expand its artificial intelligence (AI) and analytics capabilities. Its deep learning algorithms improve business operations, customer service, and site security by enabling detection, detection, and prediction.
Accenture decided to buy Bengaluru-based AI and analytics business BRIDGEi2i a month later. Accenture’s applied intelligence group is projected to gain around 800 tech specialists as part of the deal, bolstering its global capabilities in data science, machine learning, and AI-based insights.
Deep-tech firms have business strategies built on high-tech engineering innovation or substantial scientific breakthroughs. According to industry association Nasscom, as of 2020, India had roughly 2,100 deep-tech startups.
To that end, NASSCOM established the second edition of its deep-tech mentoring programme, Deep Tech Club (DTC) 2.0, early this year. The programme intends to support and promote Indian deep-tech businesses and disruptive technologies that AI, machine learning, enables, augmented reality, virtual reality, the internet of things (IoT), robotics, blockchain, natural language processing (NLP), and other technologies. I’m looking for new business ventures.
According to industry analysts and investors, deep-tech businesses are being targeted for acquisitions for two reasons. “For starters, large corporations desire to fill technical holes in their portfolio. Another explanation is that a talented technical team focuses on the wrong problem. As a result, the business should improve its technical ability. –can be hired,” stated Vinay Bansal, the founder and CEO of Inflection Point Ventures, an angel investment firm.
Huddle, an early-stage entrepreneurial accelerator and fund, shares this viewpoint. “Many huge corporations want to buy niche deep-tech businesses to have access to a technological stack that they may not be able to construct on their own because many of them are not digital natives.” “Quality talent at a low price is often a result of such acquisitions,” said Sanil Sachar, Hudl’s founding partner.
Kishor Patil, CEO of KPIT Technologies, said his company bought PathPartner because it thought the latter’s operating system and low-level software capabilities and existing semiconductor partnerships for faster access to the platform would be better suited for delivering complex production programmes. For which it is crucial, “By combining our software integration experience for new-age vehicle architectures, we (KPIT Technologies and Pathpartners) can differentiate and strengthen our software integration competence,” he added.
Similarly, Ishaan Khosla, Hudl’s founding partner, stated that Neuropixel is one of Hudl’s portfolio companies. Large organisations have already expressed interest in AI, a deep-tech AI/ML firm, and prospective partnerships.
Surprisingly, many of these firms are bought when they are still in the early stages of development when the majority of the core technologies are still being developed. “Large organisations that haven’t been tech-first in the past may want to acquire or collaborate with these deep-tech firms to obtain access to technology or expertise,” Khosla said.
What are the deep tech challenges?
Deep tech companies have a longer R&D cycle than traditional startups, which means they take longer to get off the ground and require more resources.
Due to the intricacy of the challenges they’re aiming to tackle; deep tech enterprises may find it challenging to raise funds, even from forward-thinking angel investors, because they find it challenging to comprehend the potential of an idea that hasn’t been explored. Because of the theoretical nature of deep tech, development tests may fail if a rigorous technical feasibility investigation does not precede them. It’s purposefully attempting to prove previously unprovable.
However, as digital progress accelerates, expenditures have gradually increased over time, and traditional technology is nearing the end of its usefulness. According to new research issued as part of the European Startups Project, deep technologies such as AI, robots, quantum technology, and blockchain are receiving a quarter of all European venture capital funding.
Top 10 DeepTech Companies In India 2022:
Agara is a company formed by Abhimanyu Singh, Pankaj Gupta, and Arjun Maheswaran that automates end-to-end customer care operations for even the most complex types of inquiries. Its voice agents provide the following services:
- A one-of-a-kind, all-in-one solution.
- Answering phone calls from customers.
- Assisting with the troubleshooting of issues.
- Delivering a service level comparable to that of human agents.
Agara is the way business-to-consumer communication will be in the future. Agara processes customer support calls in real-time using sophisticated Voice AI. Agara can process calls totally on its own or make live ideas to a human agent to rapidly and successfully settle the issue. Agara eliminates all points of friction in support calls. With zero hold times, a higher first-call resolution rate, and shorter call durations, businesses may greatly improve their customer service experience. This better experience comes on top of cost reductions and operational efficiencies of more than 50%.
Agara is making ubiquitous, pleasant, and meaningful machine-led speech conversations available to everybody, using the latest developments in Deep Learning. It thinks voice interactions should be frictionless, barrier-free, and frustration-free.
Coinbase, the world’s largest cryptocurrency exchange, has purchased Agara, an AI-powered support platform with operations in India and the United States.
2. Aigroedge Technologies
AIGROEDGE Technologies is a deep tech startup founded by engineers, researchers, and entrepreneurs who are building cutting-edge IoT sensory and AI-powered digital solutions for the specialised agriculture sector. For AIGROEDGE’s first product, ‘KRAASHAK,’ an edge IoT sensory device powered by AI for physical quality assessment, disease detection, and prediction of parameters affecting plant growth using proprietary expert system to enhance yielding, there are many market applications (e.g. herbs and decorative flowers market, etc.).
3. DataCrux Insights
DataCrux is a company that specialises in high-end analytic services and solutions. Their Data Scientists have led teams that have produced cutting-edge innovation and commercial initiatives for Fortune 500 businesses in the areas of eCommerce, travel, financial services, and health care. Their solutions were named among the top ten globally by kaggle.com, beating out many well-known analytics providers. Its high-impact, low-risk consulting model entails identifying high-value use cases, establishing an extensive data analytics ecosystem, establishing a predictive model validation framework, and developing a predictive model that is among the best using our proven proprietary algorithms and ensembling techniques.
4. Drive Analytics
A VC-backed, award-winning startup in the Visual Big Data arena. Drive Analytics began to extract information from images and videos and combine it with text analytics. They have produced some genuinely cutting-edge technologies in the fields of computer vision and deep learning since their beginnings. They are currently working on the next edition of our Deep Learning platform, Deep Acuity, and providing Text Analytics solutions.
Kwantics is a call centre automation firm with a strong technology foundation. Speech AI is used to improve call centre metrics. It scales discussions with your customers using sophisticated voice bots and speech analysis, so you don’t have to worry about workforce expansions. Kwantics is committed to increasing the productivity of your voice process and your agents so that you can provide high-quality customer service. Customers choose voice as a method of communication.
Furthermore, it is possible to extract and analyse consumer discussions with voice. An audio file contains the conversation between your call centre agent and your customer. Kwantics has a Speech Analytics tool that can help you uncover hidden information. Customers use it to increase sales conversion, customer satisfaction, and agent performance. Businesses can use Artificial Intelligence (AI)-powered analysis to gain actionable insights and build long-term connections.
AI Voice Assistant is a multilingual interactive AI voice assistant that recognises human speech and conducts natural conversations to help customers communicate more effectively. Deep learning technology is used to analyse 100% historical or real-time conversational data to understand better and increase sales conversion, customer experience, and agent performance. Speech to Text (STT) solutions can transcribe all voice inputs into text in many languages, identifying keywords and actionable information to help agents perform better and engage customers and converting Text to Speech A next-generation Text to Speech (TTS) technology that converts text into a high-quality human voice that may be utilised to give personalised outbound contact to clients.
6. Manjeera Digital Systems Pvt. Ltd
The business is a DSP R&D firm that creates next-generation computing architectures for high-performance computing. They solve existing processor/co-processor/accelerator architecture bottlenecks.
Manjeera Digital Systems develops the first AI-capable processor in India.
“We, at Manjeera, took a step back and created a fundamentally fresh and unique approach to computing, unlike other players in the field who have been tweaking and making incremental adjustments or modifications to the processor while leaving the fundamental architecture at the core the same.” Dr Venu Kandadai, Co-Founder and CEO of Manjeera Digital Systems, states, “We call this Universal Multifunction Accelerator or UMA.”
The company now creates IP for ASIC, orbit files, ISRO, Intel, Astra Microwave Products, and OmniPhy. ISRO is also using the base-band SoC chip to develop various NavIC receivers.
7. Qubit AI
Qubit Technologies is a forward-thinking technology company dedicated to providing high-performance Artificial Intelligence-based products to the general public.
Thanks to strong leadership and world-class personnel, the organisation is dedicated to reshaping the technical landscape with sophisticated new approaches and constant research.
Qubit Technologies is a cutting-edge technology company specialising in providing high-performance Artificial Intelligence-based solutions to the Utility and Manufacturing industries. The firm is a perfect blend of exceptional leadership and world-class talent, committed to transforming technology across the board using the most cutting-edge approaches and research.
India is the world’s third-largest startup centre, with over 12500 startups. And 19% of India’s startups are in the deep-tech field AI/ML, IoT, Big Data, EBC, and CPA, to name a few. While multinational corporations spend billions of dollars to digitise their operations, Stratforge is racing to provide solutions to help them reach their objectives quickly. It’s a deep-tech solutions firm that helps Fortune 100 companies solve some of the most challenging corporate use cases. The majority of the company’s proprietary tech stack is used to overcome industry issues. It has faced challenges from some of the world’s largest corporations and industry leaders since its start.
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AI-assisted data discovery, decision assistance, guided resolution, workflow automation, process automation, and process auditing will make your workforce smarter. Automatically learn what occurred, why it happened, what will happen, how to correct it, and how to prevent it across sophisticated, intense interaction processes.
The organisation is a deep-tech enterprise that provides businesses worldwide with tailored Cybersecurity, Digital Marketing, Web & App Development, and other IT services.
Technivorus is a deep-tech corporation that provides businesses worldwide with tailored Cybersecurity, Multilingual Contact Center Services, IT Recruitment, and other IT services. They are a group of professionals with extensive experience in various technological domains. Technivorus takes on initiatives, become an extension of your team, and employ cutting-edge technology to turn them into operational reality. It aims to impact the deep-tech industry by encouraging exponential growth positively!
The company is working on Neural Networks and Deep Learning technologies, resulting from projects and development work done in computer vision applications over the previous few years.
Video content is created and consumed 24 hours a day, seven days a week in today’s society. Video content analysis can provide critical insights that can help increase operational efficiencies and, as a result, Enterprise ROI. It is primarily a cloud-based and optionally on-premise Computer Vision platform that uses Deep Learning to infer objective data from subjective sights, allowing for near-real-time video surveillance and analysis 24 hours a day, seven days a week.
Edited and published by Ashlyn