
Happyrobot
Instantly turn raw image data into production-ready computer vision models.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
* | $15.6m | Series A | |
Total Funding | 000k |
USD | 2023 | 2025 |
---|---|---|
Revenues | 0000 | 0000 |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Happyrobot.ai is a startup that operates in the logistics and transportation sector, providing an innovative solution to automate and streamline operations for carrier companies. The company's primary offering is a software-as-a-service (SaaS) platform that integrates with carrier systems to automate the sharing of real-time truck capacity. This means that the software is hosted on the internet, rather than on the user's computer, making it easier to update and maintain.
The company's clients are primarily carrier companies, such as LOST FR8 and Transport Pro. These companies use Happyrobot's solution to save time and resources by automating the process of answering calls for load status updates, payment status requests, and searching for available loads and trucks. This not only frees up valuable time for staff but also improves efficiency and productivity.
Happyrobot.ai operates in a growing market, as the demand for automation and digital solutions in the logistics and transportation sector continues to rise. The company's business model is likely based on a subscription or usage-based fee, typical of SaaS platforms. This means they make money by charging their clients a regular fee to use their software.
The company's solution is praised for its adaptability and learning capabilities, suggesting the use of artificial intelligence (AI) technologies. This allows the software to improve and adapt over time, providing a more effective and tailored solution for clients.
Keywords: Automation, Real-time truck capacity, Carrier companies, Logistics and transportation sector, Software-as-a-service (SaaS), Subscription-based business model, Time-saving, Efficiency, Adaptability, Artificial Intelligence (AI).