Hex Technologies
Financials
Estimates*
USD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | 2.1m | 4.8m | 15.9m |
% growth | - | 129 % | 231 % |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
N/A | Seed | ||
$5.5m | Seed | ||
$5.5m | Seed | ||
$16.0m | Series A | ||
* | $52.0m | Series B | |
* | $28.0m Valuation: $260m | Late VC | |
* | N/A | Late VC | |
Total Funding | €97.3m |
Related Content
Recent News about Hex Technologies
EditHex.tech is a data analytics startup that provides a collaborative workspace for data teams. The platform allows users to work with SQL, Python, R, or no-code within a single notebook user interface, eliminating the need to switch between different tools. This makes it suitable for a wide range of clients, from data scientists to business analysts, and even those with no coding experience.
Hex.tech operates in the data analytics market, serving clients who need to analyze and visualize data to make informed business decisions. The platform's built-in AI tools can generate queries and code, create visualizations, and even initiate a full analysis based on a prompt. This makes data analysis more accessible and efficient, even for those with limited technical skills.
The startup's business model is based on a freemium model, where users can get started for free and then pay for additional features or capacity. The platform also offers real-time collaboration, version control, and reusable components, making it easier for teams to work together on data projects.
Hex.tech also provides built-in connections to popular data warehouses, lakehouses, and databases, making it easy for teams to set up and share data connections securely. The platform has deep integrations with dbt, Snowpark for Snowflake, Spark, GitHub, GitLab, and workflow management tools like Airflow, Dagster, and Prefect.
In summary, Hex.tech is a user-friendly, collaborative data analytics platform that caters to a wide range of clients and simplifies the process of data analysis and visualization.
Keywords: Data Analytics, Collaboration, SQL, Python, R, No-Code, AI Tools, Data Visualization, Real-Time Collaboration, Data Connections.