Datagran is currently raising funds on the Wefunder platform at a valuation of $14 million. With an annual revenue of $596,387, Datagran has a revenue multiple of 23.47x. While this multiple may seem high, it is important to consider the potential growth of the U.S. machine learning market, which represents Datagran's addressable market. Machine learning is a rapidly expanding field and Datagran's innovative platform positions it well to capture a significant share of this market.

Investors should also note that Datagran has previously raised $5.6 million in prior funding rounds, indicating a level of confidence from venture capital investors such as Telefonica, Quake Capital Partners, and Beresford Partners. This backing from notable investors further supports the company's growth potential.

While Datagran's valuation may appear high compared to its current revenue, it aligns with the company's growth stage and the potential of the machine learning market. Investors should carefully consider the growth prospects of the industry and the company's ability to execute its business model before making an investment decision.

Datagran is positioned within the rapidly growing U.S. machine learning market, valued at $6.51 billion. With a compound annual growth rate (CAGR) of 36.2%, the market's expansion is driven by the increasingly pervasive use of data-driven decision-making across a wide range of industries. Businesses seek effective tools to collect, organize, and analyze data, demanding solutions that make machine learning accessible and user-friendly.

By offering a patent-pending system that automates data collection, organization, machine learning model building, and workflow automation, Datagran addresses these demands directly. The platform has already gained traction, with over 9,000 existing customers and a three-month retention rate of 30%. Such positive early customer engagement indicates a high level of market acceptance for Datagran's solution.

While the market does contain established competitors, the competitive landscape is described as only moderately competitive. This suggests there is room for innovative newcomers like Datagran to carve out a significant market share. Yet, the market's competitive nature will require Datagran to continually innovate and adapt to stay ahead and maintain its appeal to customers.

Overall, given the market's size, growth rate, and the increasing demand for user-friendly machine learning tools, Datagran appears well-positioned to capitalize on these market trends. With its unique offering and a clear value proposition, the company holds significant potential to capture a substantial share of this lucrative market.

Datagran is led by founder and CEO Carlos Mendez. With 6 years of relevant industry experience, Mendez brings a deep understanding of the business services, software, and applications industry to the company. He is dedicated to making machine learning accessible to everyone through Datagran's patent-pending system. Mendez's leadership and high-level managerial skills have contributed to the growth of the company. Under his guidance, Datagran has acquired over 9,000 customers, with a 30% retention rate after three months. This demonstrates the value and effectiveness of Datagran's platform in the market and the leadership abolity of Mendez.

The team at Datagran consists of 11 members who collectively contribute to the company's growth and success. Their expertise in data analysis, machine learning, and software development positions Datagran as a leading player in the U.S. machine learning market.

Datagran offers a unique and user-friendly solution in the machine learning market. The company has developed a patent-pending system that simplifies the process of collecting and organizing data, building machine learning models, and automating workflows without the need for engineering expertise. This ease of use sets Datagran apart from its competitors and makes machine learning accessible to a wider range of users.

With over 9,000 existing customers and a 30% retention rate after three months, Datagran has already demonstrated its value in the market. The platform's ability to seamlessly run data models on information and transfer outputs between business applications streamlines workflows and allows users to focus on what's important. Additionally, Datagran's system enables users to create data projects around teams and grant access to the necessary individuals when needed, eliminating the need for repetitive data downloads and uploads.

While the competitive landscape in the machine learning market is moderately competitive, Datagran's unique approach and user-friendly platform give it a slight edge over its competitors. The company's pending patents further enhance its differentiation and provide a level of protection for its innovative technology.

With over 9,000 existing customers, Datagran has demonstrated its value proposition and has achieved a 30% retention rate after three months.

Financially, Datagran has experienced some challenges in recent years. The company's annual revenue stands at $596,387, representing a significant decline of 54.68% since the last funding round. This decline in revenue growth is a concern and will need to be addressed in order to sustain the company's growth trajectory.

Despite the revenue decline, Datagran has managed to raise $5.6 million in prior funding rounds, indicating investor confidence in the company's potential.

Team growth has been a positive aspect for Datagran, with high growth since the last funding round. This suggests the company is expanding its capabilities and expertise to support its business operations and product development.

Datagran operates in a moderately competitive landscape, but its unique approach to making machine learning accessible sets it apart from competitors. The company's partnerships and collaborations will be crucial in expanding its market reach and acquiring new customers.

Overall, Datagran is in the growth stage and has the potential to capitalize on the growing U.S. machine-learning market. However, the company will need to address the decline in revenue growth and focus on retaining and expanding its customer base to ensure long-term success.

Investing in Datagran carries certain risks that potential investors should consider. Firstly, Datagran operates in a moderately competitive market, where other companies offer similar machine learning and data automation solutions. While the company has over 9,000 existing customers and a 30% retention rate after three months, competition could intensify and impact Datagran's ability to attract and retain customers in the long run.

Another risk is related to the product itself. Datagran's software is still in the launch phase, which means it may have bugs, performance issues, or limited functionality. The success of the product's launch and adoption will be crucial for the company. Any delays or complications in the launch could negatively affect customer acquisition and revenue generation.

Additionally, Datagran needs time to scale its sales and distribution. While the company has existing customers, expanding its customer base and reaching a wider market may take time. The company should have effective sales and marketing strategies in place to overcome potential barriers to scaling and achieving its growth targets.

Financially, Datagran has a negative net income and a monthly burn rate. The company will need to rely on external funding to sustain its operations and cover expenses. If Datagran cannot secure additional funding or generate sufficient revenue, it may face financial challenges that could impact its ability to operate and grow.

Datagran is revolutionizing the field of machine learning by providing an easy-to-use platform that eliminates the need for engineering expertise. With its patent-pending system, the company enables businesses to collect and organize data, build machine learning models, and automate workflows effortlessly. This user-friendly approach has attracted over 9,000 customers, with an impressive 30% retention rate after three months.

The market potential for Datagran is high, given the increasing demand for machine learning solutions in the U.S. The company's recurring revenue model, coupled with its high-margin level, positions it for sustained growth and profitability. Despite a decline in revenue since the last round, Datagran has the opportunity to rebound by leveraging its existing customer base and capturing a larger share of the machine-learning market.

With a valuation of $14 million, Datagran is seeking additional investment through its crowdfunding campaign. The funds raised will support the company's operating expenses and salaries, enabling it to continue scaling its business and further penetrate the machine-learning market.

Datagran operates in a moderately competitive market where several companies offer similar machine-learning solutions. While Datagran's patent-pending system aims to make machine learning accessible to everyone, its success in attracting and retaining customers remains uncertain. The fact that the company has had a high decline in revenue growth since its last round raises concerns about its ability to generate consistent and sustainable revenue.

In addition, Datagran's valuation of $14 million may be considered overvalued, given its current financial performance. With an annual revenue of $596,387 and a negative net income of $797,559, the company's valuation may not be justified. The low barriers to entry in the market and the availability of alternative solutions pose challenges for Datagran to differentiate itself and capture a significant market share.

Datagran is a software company that aims to make machine learning accessible and easy for everyone. The company's system automatically collects and organizes data, builds machine learning models, and automates workflows without the need for engineering expertise. This service is particularly valuable in the current data-driven business environment, where the ability to manage and leverage data efficiently can provide a significant competitive advantage.

Despite experiencing a high decline in annual revenue, the company has managed to attract over 9,000 customers, with a decent % retention rate of 30% after three months. The company's patent-pending system and its ability to simplify complex data processes could be a key differentiator in the market.

Datagran has raised $5.6 million in previous funding rounds, demonstrating investor confidence in its business model and growth potential. However, it operates in a moderately competitive landscape with low barriers to entry, which could pose challenges to its continued growth and market penetration.

The company is currently seeking additional funding through a crowdfunding campaign on Wefunder, with a minimum target of $50,000 and a maximum target of $500,000. The funds raised will be used primarily for operating expenses and salaries. This funding round could provide the necessary resources for Datagran to continue its growth trajectory and further develop its innovative machine-learning platform.