The application which utilizes data science is evolving everyday. Humans are surrounded by products that are governed by Data. And in the next few years, this usage is going to Expedite. Currently, the world is witnessing Data-Greed. It seems, that for the technological giants and organizations, the more is never the merrier. Because as humongous amount of data is leveraged for technologies, more investments are generated. Companies are now inclined towards funding Data as an asset, rather than taking as a commodity.
Thus, Analytics Insight presents Top 10 Data Science funding and investments for September 2020.
Amount Funded: US$246.8 million
Lead Investor(s): ICONIQ Capital, Battery Ventures, Stripes, Tiger Global Management, Dawn Capital,
Daitiku is the platform that democraticizes the access to data and enable enterprises for building an artificial intelligence space in a human-centric manner. The companies uses machine learning technology, and streamlines as well as automate workflows by allowing the data teams for putting the right processes in place to ensure that models are properly maintained, monitored and feasibly managed in production, which includes Model rollback management, Deployment Health monitoring, Model drift Feedback loop and Model Version Management amongst others. The company has partenered with companies like AWS, Microsoft Azure, Google Cloud, and Fox data. It's DSS is a collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products. Currently, Daitiku has raised US$100 million for Series D funding.
Amount Funded: US$63.6 million
Lead Investor(s): Portugal Ventures
DefinedCrowd, provides high quality AI training data for fueling the Artificial learning and machine learning initiatives. The company has designed customizable workflows in speech, Natural Language Processing, and Vision for helping the businesses for easy, quick and guaranteed results. Its Speech technology builds speech models, with precision audio collection and annotation, while fully customizing desired domain/intent, demographic distribution, and recording device type. Build to decode the unstructured text, the company's NLP train models for interpretating complex text with annotation templates, which are designed to delve into the contextual nuance of written language. The computer vision trains data for source precision image collection, and annotation to distinguish objects. The company has partnered with global leaders like MasterCard, IBM Watson, and BMW, amongst others. The company has raised US$50 million in Series B funding on July 2020.
Amount Funded: US$40 million
Lead Investor(s): First Round Capital, Flare Capital Partners
Suki is an AI-Powered , voice-enabled digital assistant designed for invisibly assisting the doctors in the exam room, the operating room, or the office to lifting the administrative burden. Its voice-enabled commands, help doctors to focus more on patients, by generating 100% accurate notes. The company has an extensive experience in designing and developing cutting-edge technology, consumer, healthcare, and enterprise products for companies like Apple, Google and IBM Watson.
Amount Funded: US$35.3 million
Lead Investor(s): Bose Ventures
Aira's AI- agent Chloe, assists the blind and low vision people to visualise the world better by combining the human attributes with AI technology. Despite being in the nascent stage, the AI agent can perform tasks like reading the instructions, and has a robust mission for evolving in computer-based navigation. Owing to the COVID 19 pandemic, in Ohio, Aira has launched a new service called Aira Access for assisting the blind and low-vision students to navigate the campus, more easily by using call-sighted assistants through the smartphones, which involves visual assistance with the help of a live video call. In February 2020, Aira was acquired by Blue Diego investment Group, which aims of utilizing AI-agent for establishing innovative technology and mission driven Start-ups.
Amount Funded: US$355.6 million
Lead Investor(s): Benchmark
Airtable is a cloud-based software company that blends a traditional spreadsheet database. It has a post money valuation in the range of US$1 billion to US$10 billion. It is currently competing with Google sheets and Microsoft Excel, to provide user-friendly design suitable for consumers and businesses. The company has partnered with Medium, Netflix and Time, amongst others for providing customized spreadsheet database to its users. It has recently launched a feature that goes beyond the no-code capabilities and brings tools to the service more low-code features, thus also including automation, and data management.
Amount Funded: US$243 million
Lead Investor(s): Andreessen Horowitz
Insitro is a company that is leading the way to better medicines through Predictive models created by Machine Learning, and biology at scale. The company's better predictions for discovery, and development is delivering better medicines to the patients who need them. By Integrating the machine learning and biology at scale, the company believes in building predictive models. The company aims to become the first truly data-driven, integrated, drug-discovery, and development company. In the year 2019, it has announced partnership with Gilead Services worth US$1 billion, for helping in finding a treatment for Non-alcoholic Steatohepatitis or NASH, a form of liver disease.
Amount Funded: US$69.2 million
Lead Investor(s): 40 North Ventures, Granite Hill Capital Partners, Pear Tree Partners
Tamr is an enterprise data unification, that is cost effective, scalable and accessible to any Enterprise. It helps in effectively connecting data from external, and internal resources, resolving data silos, and data variety issues at an enterprise scale, making data ready for analytics, AI, and ML projects across the organization, thus boosting the operational efficiency, by accelerating data-driven business outcomesIn July 2020, it has tailored a new five year US$60 million contract with the US Airforce Seek Eagle Office (AFSEO), for accelerating, and automating the process of flight certification recommendations for new flight configurations. With the success of initial research at MIT CSAIL, the company began building a commercial-grade solution for tackling the challenge of connecting and enriching diverse data at scale, quick and cost-effective.
Amount Funded: US$97.3 million
Lead Investor(s): 14W, Mangarove Capital Partners
K Health utilizes, AI and advanced technology, with the help of an app, to provide tele-medicine consultations, thus diagnosing the health issues. With the help of AI-database, alongwith the physician notes and lab results, the company provides accurate, data-driven information for the user. The company has recently raised US$48 million in a series C-funding round.
Amount Funded: US$33 million
Lead Investor(s): Global Capital Partners
The Software of Rev.com enables the freelancers to seamlessly transcribe, caption, and subtitle content in one simple interface. With its speech recognition engine, the speech-to-text technology can be transcribed in minutes. Integrated with Artificial intelligence, it is a platform for freelancers for choosing their work, set their own hours, and work where they want. Not only does this technology amplifies productivity, but it is also observed to be a platform for boosting the employment.
Amount Funded: US$5.4 billion
Lead Investor(s): Hefei City Construction and Investment Holding Group. Tencent Holdings, William Li, Beijing E-town International Investment & Development, Baillie Gifford.
NIO utilizes Battery as a Service for building, designing, and developing smart cars. Recently, NIO has announced for expanding its operations and services in Europe by 2021. Apart from designing smart cars, NIO has scattered its services in the fashion and Health. It has launched the Chinese rival of Tesla, NIO ES8, that has a range of 500kms.
Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
_____________
Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.