Tenzai Systems is known as the Purpose Driven AI solutions provider to disrupt the methods of data insights of enterprises. Companies can identify revenue opportunities and improve productivity by leveraging the purpose-driven AI approach of Tenzai Systems. It is designed for enterprises to excel in the AI-First future by accelerating their AI maturity.
Tenzai Systems is a purpose-driven AI company founded by award-winning data science leaders with the vision of helping organizations realize the true potential of artificial intelligence (AI). It creates impactful AI solutions for clients that are accessible, scalable, and responsible by employing the purpose-driven AI approach.
The company helps organizations solve complex business problems through a hybrid approach of employing business acumen, AI expertise, and cutting-edge technology. The team of data scientists and engineers has strong expertise in machine learning, data science, research, and deploying AI applications at scale. Tenzai collaborates with universities and research institutions to ideate new products and concepts in exponential technologies.
Tenzai Systems helps Fortune1000 enterprises as well as start-ups to fast-track AI maturity, turn data and insights into a core differentiator. The team has expertise in consulting clients in North America, India, the Middle-East, Europe, and APAC and across key verticals retail, CPG, financial services, technology, education, and healthcare.
The company has expertise in decision sciences— statistics, data mining and machine learning; language— NLP, NLG, and NLQA; computer vision— image processing, image analysis, and machine vision; smart machines— chatbots, virtual personal assistants and expert systems; automation— process automation, decision automation, and cognitive augmentation as well as AI enablers— data engineering, data visualization, and high-performance computing.
Tenzai offers services in three categories as AI foundations— data engineering, data visualization, AI maturity assessment, AI strategy and roadmap and AI and MLOps; data science— customer analytics, marketing analytics, sales analytics, risk analytics, and operations analytics as well as AI engineering— NLP, computer vision, conversational AI, cognitive automation and AI product engineering.
The company offers two products in the market known as Anxen that is a computer vision platform for automated compliance and facility management as well as Tenzai AWM, an AI platform for asset and wealth management firms to automate investment research.
Today, everyone is aware of the potential of AI and how it is going to help enterprises unlock more than US$13 trillion in terms of economic value. But the reality is that more than half of the companies that have implemented AI are yet to realize any benefits or the purpose has not been met. This is the problem Tenzai Systems wants to solve. The team wants to help companies to realize the full potential of AI and help them to achieve the very purpose of AI.
There are multiple reasons why companies are not able to realize the full potential of AI such as rapid growth of AI technology scape, difficulty in identifying and defining use cases, complex AI solutions hindering business user adoption, not having a multidisciplinary approach, and product mindset with lack of right talent.
The answer to the above challenge is the purpose-driven AI Framework. The framework is based on 16 decades of combined experience over 1000 AI and data science projects and two years of research. It helps clients to overcome challenges and adopt best practices at every stage of AI implementation right from conceptualization to deployment. It is the guiding principle for all AI implementations. It is built on four major pillars— purpose, empowerment, responsible AI, and scalability.
Tejas Gowda and Senthil Nathan Rajendran founded Tenzai Systems in August 2019 with a vision to help enterprises realize the full potential of AI. The duo had worked with leading analytics firms and innovative product start-ups and also launched several awarding winning products in AI and data science. They strongly believe today to succeed in AI, enterprises need to have a product mindset, coupled with a multidisciplinary approach (engineering, data science, deep learning, product management, DevOps, and business analysis), and clarity on purpose (the role and expectation of AI within the organization).
Hence, the team conceptualized the purpose-driven AI Framework to help clients realize the real purpose of AI and to differentiate ourselves from other players. Today the company helps clients across the US, Europe, Middle East, and APAC ranging from large enterprises to YC funded start-ups. We have also launched two products known as Anxen and Tenzai AWM.
Senthil Nathan Rajendran, Co-Founder, and CEO is a thought leader, speaker, and innovator with a passion for emerging AI technologies. He has experience in successfully conceptualizing and launching award-winning AI products.
Senthil was the Director (AI, and Decision Sciences) of Marlabs Innovations, Head of Delivery (Retail) at Hansa Cequity, Director of Product Management at DataRPM as well as Head of Product Strategy at ABIBA Systems. His domain expertise is in retail, CPG, telecommunications, education, financial services, and manufacturing with a geographic focus on North America, Europe, the Middle East, and APAC.
Senthil was one of the pioneers of AutoML and NLG in India with over 6 patents in areas of AutoML, NLG, NLP, and augmented analytics. His core research areas of interest include NLG, NLQA, augmented analytics, and conversational AI. He has launched several award-winning AI and ML products both in India and the US markets while having hands-on experience in building large-scale AI and cognitive computing practices right from the scratch for global markets. The products were featured by several analyst reports like Gartner and Forrester and he is known for managing large-scale AI deployments spanning multiple countries.
Tejas Gowda, Co-Founder and Chief Data Scientist of Tenzai Systems and is known as a Data Science Leader with deep expertise in AutoML, NLP, and computer vision. He has sufficient experience in providing AI solutions for Fortune 1000 companies across verticals to solve business challenges.
Tejas was a principal data scientist at Marlabs Innovations, a senior data scientist at Hansa Cequity, a lead analyst at Analytics Quotient, as well as a research analyst at CRISL Global Research & Analytics. His domain expertise is in retail, CPG, telecommunications, education, financial services, and manufacturing.
Tejas has consulted many Fortune 500 clients in areas of AI and data science and filed over six patents in areas of AutoML, NLG, NLP and augmented analytics. He has mentored many data scientists, machine learning, and deep learning engineers including mentors' faculty and research fellows in AI, machine learning, and deep learning in many leading universities. He is known for his hands-on experience in architecting complex and large-scale AI implementations across the globe while being a pioneer in launching AutoML and NLG products in India.
The company's notable awards and recognitions include top 20 start-ups selected by the F10 Singapore Accelerator Program (Switzerland Stock Exchange and Julius Baer, one of the world's largest private banking firms) where Tenzai was selected among the top 20 out of 2000+ start-ups across Asia and Europe and top 50 start-ups selected by Conquest BITS Pilani Accelerator Program where Tenzai was selected among the top 20 out of 2500 + start-ups across India.
There are multiple client references where all the sales are inbound through references based on the work. More than 90% of customers are repeat customers which are testimony to the high quality of work.
As a country, the world has made decent progress in AI due to innovative start-ups and governments' push for digital technologies. But one thing that is of concern is the contribution in terms of innovation and IPs in Artificial Intelligence. India is lagging behind significantly when compared to other countries. This is where Tenzai Systems aspires to contribute. As a company, the team has pledged that the resources will be earmarked for innovation and IP-related activities like patents, research papers, institutional collaborations, product ideas, etc. Tenzai Systems already has active collaborations with leading global institutions to conceptualize ideas, concepts, and IPs in exponential technologies.
Today, the team can confidently say that in the last two years all AI implementations have been successful and all clients have been able to realize the full potential of AI due to the purpose-driven approach. Tenzai Systems is helping across verticals and some of the benefits realized by clients included reducing operational costs due to efficient forecasting and optimization, enhancing customer loyalty due to customer journey mapping, predicting payment risks and anomalies, helping companies and institutions reopen post-COVID, helping companies accelerate their GTM for new AI products and use cases, as well as identifying new consumer insights and revenue opportunities.
As a company, the team has pledged that 20% of the time, resources will be earmarked for Innovation and IP-related activities like patents, research papers, institutional collaborations, product ideas, etc. Tenzai already has active collaborations with leading global institutions to conceptualize ideas, concepts, and IPs in exponential technologies. There are two successful AI products as a result of innovation in the areas of computer vision and Natural Language Processing (NLP). The team also has a lot of initiatives going under Applied AI research.
Earlier the industry had seen how AI / ML / Cloud / IoT was implemented for use cases as stand-alone technologies. The next generation of innovation would come from the convergence of other emerging technologies like blockchain, AR / VR, IoT, robotics, biotechnology, etc. That wave of innovation would be truly disruptive. As per reports, society is going to experience 20000 years of technological change in the next 100 years. The founders believe that there will be less standalone AI implementation because AI will be omnipresent be it any hardware such as drone, CCTV, TV, refrigerators, washing machines, wearables, or software like spreadsheets, CRM, ERP, accounting software, etc. will be coming with embedded AI capabilities. AI will be the new software.
The company is very excited about the future. For the first two years, the team was focused on building the foundation and culture. Now it wants to accelerate the growth. The team wants to establish Tenzai as a prominent AI solutions provider in the US and India within the next two to three years. The company has roped in industry veterans to the advisory board to help in accelerating growth strategy. According to Senthil, it is a great time to be in the tech industry as an AI solutions provider. But one must also remember that AI is also one of the fastest-growing technologies and hence AI companies must also keep up the pace to stay relevant in the market.
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