Heartex has developed a platform that allows companies to quickly and easily build custom AI models.
The Artificial Intelligence revolution is in full swing and Heartex seeks to capture a piece of this rapidly growing market. The company offers a powerful platform that allows businesses of all sizes to quickly and easily build custom AI models. To help them achieve this goal, Heartex has announced the raise of a $25 million Series A funding round, which included investments from several of the biggest tech VCs.
This additional capital will allow Heartex to pursue its ambitious mission – to make it easy for any company in the world to become data-centric – and empower organisations with an unprecedented ability to generate and utilise insights from their data sets quickly and securely.
Heartex’s unique platform helps companies manage their data and develop AI models without knowledge or expertise in data science techniques. As businesses become more reliant on data for decision making, AI modelling is essential to any enterprise’s success story. With Heartex’s offering, enterprises can explore new opportunities in predictive analytics to gain competitive advantage faster than before. Additionally, enterprises now require fewer resources to design accurate predictions within tight budgets and timelines thanks to the robust automation capabilities available from Heartex’ platform.
Heartex Raises $25 Million Series A to Help Every Company Become a Data-Centric AI Company
Heartex is a computer vision and machine learning company based in San Francisco, California. Founded in 2018, the company has raised $25 million in its Series A round of funding from NEA, 8VC, Valo Ventures, and Emery Capital.
This funding will be used to help enterprises quickly build, manage and deploy AI models without the need for extensive machine learning knowledge.
The company offers a software platform that allows companies to create, maintain and deploy custom AI models, with the help of a library of pre-trained models and a cloud-based platform.
Overview of Heartex’s Platform
Heartex is an AI solution provider that enables companies to quickly and easily build custom-tailored AI models. The company has developed a platform with both standard and custom tools allowing companies to capitalise on the power of data-driven AI. As a result, Heartex helps organisations achieve their goals in a shorter amount of time than ever before, making it easier for companies – from global corporations to new startups – to become “data-centric” enterprises.
At the centre of Heartex’s platform is its AI development pipeline, which accelerates model building while maintaining accuracy and scalability. This development flow includes data preparation, feature selection, coding standards, defined user interfaces (UI), integration points between the backend server and the frontend interface (such as mobile apps or web applications) and easy deployment of models into different production environments. Additionally, developers can quickly check outputs and ensure quality using Heartex’s cloud analytics suite.
To confidently deploy artificial intelligence across any business domain, users have access to enhanced tools for automated testing, including tests for integration between entities such as APIs (Application Programming Interfaces).
Furthermore, environment management tools like Terraform are available for managing Kubernetes clusters in the cloud environment; this way, users can confidently test deployment configurations before going into production mode.
With its comprehensive platform that allows full control over datasets and algorithmic approaches, Heartex enables IT teams to adapt existing models or build new ones on their terms. Its robust technology stack helps companies become more efficient in reducing latency by bringing machine learning models closer to data sources. Furthermore Heartex provides every organisation with secure tokenization capabilities that help protect mission-critical customer data while facilitating regulatory compliance mandates when sharing insights across all units within an enterprise.
Heartex’s AI Model Building Process
Heartex has developed a platform allowing companies to build custom AI models quickly and easily. Their process uses a combination of automated machine learning algorithms and human expertise to create advanced models and give companies the ability to harness the power of AI technology in their businesses and operations. As a result, the heartex platform helps companies accelerate their journey toward becoming data-centric AI organisations.
At the core of Heartex’s model building process is automation: they use algorithms to search vast amounts of unstructured data, identify patterns, and create hypotheses based on those patterns. Then, they collaborate with domain experts who have particular experience in the area of interest so that they can validate or reject hypotheses as needed. Through this collaborative process, they can develop accurate models with predictive capabilities faster than traditional methods. In addition, Heartex provides access to reusable tools and resources that can be leveraged across projects, streamlining efficiency and making it easier for customers to get up and running quickly with their models.
Heartex recently raised $25 million in a Series A round of funding from investors including Accel Partners, New Enterprise Associates (NEA)and Sequoia Capital. This financing will help Heartex further develop its product offering for companies looking to leverage data science technology in their operations. As customer demand for AI solutions grows exponentially industry-wide, Heartex strives to become the go-to platform for any company looking to make smarter decisions with data-driven insights from AI-based models.
Heartex’s Series A Funding
Heartex, an AI platform company, has announced a $25 million Series A funding round to help advance its mission of helping every company to become a data-centric AI company.
With this investment, Heartex can expand the reach of its platform and provide companies with a scalable AI solution.
Let’s dive into some of the details.
Overview of the Funding Round
Heartex, a company that develops an AI-driven platform for businesses to easily build custom AI models, recently closed a $25 million Series A venture capital funding round. The investment furthers Heartex’s mission of helping companies become AI data-centric and make better decisions faster with their models.
The funds will go towards expanding the current platform and deepening its reach. Heartex plans to use the money to increase resources in research and development and fuel expansion into automation, enterprise applications, and artificial intelligence. In addition, Heartex has focused on building relationships with its current partners while creating new ones that share the same strategies and values around creating meaningful customer experiences with their AI models.
The Series A funding round was led by Eight Roads Ventures with participation from existing investors Strive VC; Innovecs; M12 Ventures; Point Nine Capital; Little Pioneer Ventures; Reforge Partners; Nikolay Odabashyan; Mail.Ru Group president David Maimon, among others. By raising an additional round of venture capital financing at the right time in their growth stage, Heartex can provide customers with innovative products that drive business decisions to stay competitive in the long term.
Investors and Strategic Partners
Heartex’s Series A funding round has attracted investment from investors and strategic partners. These include venture firms such as Atomico and Activant Capital and strategic partners including Microsoft, Kaltura, DataRobot and ThoughtWorks Ventures.
The capital raised in the latest funding round will be used to continue the development of Heartex’s platform, which helps companies quickly and easily build custom AI models to help them drive decisions with data-derived insights. The company has already worked with customers in various industries including finance, healthcare, retail and automotive.
Alongside developing its technology platform, Heartex plans to use the funding to expand its existing partnerships with leading cloud providers such as Amazon Web Services (AWS) and Google Cloud Platform (GCP). This will enable its customers to integrate their AI models into existing infrastructure more easily.
The company also announced several new roles for executive leadership in the meeting where it revealed the funding news. Ex-Google exec Moti Talmon was appointed VP Engineering while former senior vice president at DataRobot Joe Birtwistle was named VP Global Sales & Alliances. Finally, Oleg Bourgeois joined AWS as CTO & Principal Scientist.
These appointments provide a strong foundation for Heartex’s continued technical and commercial growth. Automated machine learning has become increasingly popular in corporate environments across many industries due to its ability to work with data quickly, unlocking business insights that weren’t previously available or were too expensive or difficult to obtain through manual means. Due to this trend, Heartex is strategically placed with enough resources available it needs now. With $25 million of additional injection funds through this Series A financing round, Heartex can ensure that it remains ahead of competition long-term and drive development forward with unparalleled efficiency.
Benefits of Heartex’s Platform
Heartex, a AI and automation software provider, has developed a platform that enables companies to quickly and easily build custom AI models. By harnessing the power of AI, Heartex’s platform allows businesses to extract valuable insights from data, automate processes, and generate content.
In addition, Heartex recently announced a $25 million Series A round of funding to further develop the platform. This article will discuss some advantages of using Heartex’s platform.
The Heartex platform provides companies with a cost-effective solution for building custom AI models. By utilising the platform’s automated AI model development tools, companies can quickly and easily create their custom AI models without hiring expensive data scientists or investing in expensive computational resources. This allows them to save on time and money while still achieving the benefits of utilising AI technology.
The cost savings of using Heartex’s platform also come from lower implementation costs. By providing pre-trained models, prebuilt code modules and automated services in a single interface, companies no longer need to manually design and debug applications when incorporating AI technology into their systems — meaning less manual testing and shorter development cycles for new product launches. This results in faster time to market for new products and greater ROI on each project due to reduced overhead costs.
In addition, the platform’s easy-to-use dashboard and visualisation features allow users to quickly monitor their AI projects while gaining insights that would otherwise have been too time consuming or simply impossible with traditional tools — leading them to make better business decisions more efficiently, resulting in further cost savings.
Heartex’s platform saves companies time by quickly and easily building custom AI models. The platform provides an intuitive interface with robust automated tools that help developers prototype, test, and deploy machine-learning models with minimal effort. This allows developers to quickly develop functional models that can be used in applications and automate complex tasks. Heartex also has an expansive library, which contains pre-trained deep learning models available for a variety of different tasks such as object recognition, facial recognition, audio processing and more. In addition, with the platform’s semi-automated model validation algorithms, developers can easily test their AI models for accuracy before deployment.
Companies can use the Heartex platform to scale up their AI capabilities without hiring specialists or dedicate expensive hardware to training complex deep learning models. Furthermore, Heartex helps ensure that every company meets applicable data privacy regulations so that customer data is safe from potential security breaches or unauthorised access due to its easy-to-use data masking tool. This ensures customer’s privacy is always respected while the application utilises their data.
With Heartex’s recently announced series A funding round totaling $25 million , businesses now have access to the world’s first truly comprehensive Enterprise Automation & Analytics Platform designed specifically for business use cases within 24 hours of signup.
The Heartex platform has been designed to help data scientists, ML engineers, and other developers increase accuracy in AI models by streamlining the development process.
From automatically generating labelled images and videos to quickly creating deep learning models tailored to specific tasks and industries, Heartex’s platform simplifies AI development for software companies, reducing the time and effort required for data preparation and offering greater accuracy in results.
Furthermore, using ready-made components from the library of pre-trained models, users can run applications quickly with minimal effort. This allows companies to focus on optimising their custom models instead of spending resources on building components from scratch.
Heartex’s platform also provides access to a team of expert data scientists who can help users choose the best approach for their particular project. By leveraging this expertise during development stages, users are ensured that AI will be accurately implemented in their applications.
Heartex has proven their platform’s success in raising Series A funding and is undoubtedly a leader in helping businesses become data-centric AI companies. With their technology, companies can easily create custom AI models and deploy them quickly to provide insights in a timely fashion.
With these new found resources, customers have the ability to build AI model capabilities with higher accuracy and greater speed than ever before. Heartex’s success is a testimony of its commitment to providing businesses with automated data-mining technologies to help drive their vision of becoming data-centric AI companies.