ANYVERSE raises €3M in first round of investment | South Summit 2020 Startup Competition
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Anyverse™ Raises €3M in first round of investment

Full Press Release available in English and Spanish.

We have some happy news to share! We have recently received our first round of financing led by two Spanish venture capital companies with deep-tech portfolios – Bullnet Capital and Inveready.

The funding will help us accomplish our mission – to shorten the production cycle in advanced perception systems for robotics, autonomous vehicles, UAVs, and smart cameras among others.

With an expanding range of AI applications, more and more companies seek continuous acquisition of ground-truth data to train and test their models. System developers are challenged by the almost infinite variability and edge scenarios required, far beyond what is possible to capture in the real world. Simulated data is an alternative but it generally struggles to match real sensor specifications.

Anyverse™’s unparalleled approach to synthetic data does not involve any gaming technology commonly used by others. Instead, it employs a proprietary render engine with photometric-accurate light simulation to produce a reliable output. Its software solutions give users full control over sensor specs, scenario dynamics, and variability.

According to Javier Ulecia and Miguel del Cañizo, Founding Partners of Bullnet Capital,

“Advanced technology can change the world just by finding the missing piece. Anyverse™’s approach to synthetic data is one step ahead and closer to solving the data gap in machine perception.”

Ignacio Fonts, Managing Partner of Inveready

“Anyverse™ makes a fundamental contribution to accelerating the development of autonomous driving, one of the big technological challenges of this century”.

We are excited about the future and keep working full force in these difficult times. Synthetic Data has no limits, and customization in our approach is key to making machine perception real.

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About Anyverse

With over 25 years of heritage in physics-based simulation and a 2008 Academy Technical Achievement Award, Anyverse is a leading provider of high-fidelity synthetic data and validation tools for advanced Perception AI.

While Anyverse remains a premier partner for the Automotive market, specializing in In-Cabin Monitoring systems and ADAS, its technology is increasingly adopted across Defence, Robotics, and Industry 4.0. Leveraging a proprietary physics-grounded engine, procedural synthetic data generation, and next-gen Generative AI, Anyverse produces datasets with unmatched realism and sensor-level accuracy (including RGB, NIR, Radar, LiDAR, and Thermal).

Its unified validation framework helps partners ensure compliance with specific regulations like Euro NCAP, as well as broader safety standards for autonomous systems. By bridging the gap between simulation and reality, Anyverse accelerates development, reduces costs, and ensures trustworthy perception for vehicles, robots, and intelligent machines.

ANYVERSE raises €3M in first round of investment | South Summit 2020 Startup Competition

SHARE

Anyverse™ Raises €3M in first round of investment

Full Press Release available in English and Spanish.

We have some happy news to share! We have recently received our first round of financing led by two Spanish venture capital companies with deep-tech portfolios – Bullnet Capital and Inveready.

The funding will help us accomplish our mission – to shorten the production cycle in advanced perception systems for robotics, autonomous vehicles, UAVs, and smart cameras among others.

With an expanding range of AI applications, more and more companies seek continuous acquisition of ground-truth data to train and test their models. System developers are challenged by the almost infinite variability and edge scenarios required, far beyond what is possible to capture in the real world. Simulated data is an alternative but it generally struggles to match real sensor specifications.

Anyverse™’s unparalleled approach to synthetic data does not involve any gaming technology commonly used by others. Instead, it employs a proprietary render engine with photometric-accurate light simulation to produce a reliable output. Its software solutions give users full control over sensor specs, scenario dynamics, and variability.

According to Javier Ulecia and Miguel del Cañizo, Founding Partners of Bullnet Capital,

“Advanced technology can change the world just by finding the missing piece. Anyverse™’s approach to synthetic data is one step ahead and closer to solving the data gap in machine perception.”

Ignacio Fonts, Managing Partner of Inveready

“Anyverse™ makes a fundamental contribution to accelerating the development of autonomous driving, one of the big technological challenges of this century”.

We are excited about the future and keep working full force in these difficult times. Synthetic Data has no limits, and customization in our approach is key to making machine perception real.

Enjoyed this article?

Tap to add us as a Preferred Source on Google to see more content like this.

About Anyverse

With over 25 years of heritage in physics-based simulation and a 2008 Academy Technical Achievement Award, Anyverse is a leading provider of high-fidelity synthetic data and validation tools for advanced Perception AI.

While Anyverse remains a premier partner for the Automotive market, specializing in In-Cabin Monitoring systems and ADAS, its technology is increasingly adopted across Defence, Robotics, and Industry 4.0. Leveraging a proprietary physics-grounded engine, procedural synthetic data generation, and next-gen Generative AI, Anyverse produces datasets with unmatched realism and sensor-level accuracy (including RGB, NIR, Radar, LiDAR, and Thermal).

Its unified validation framework helps partners ensure compliance with specific regulations like Euro NCAP, as well as broader safety standards for autonomous systems. By bridging the gap between simulation and reality, Anyverse accelerates development, reduces costs, and ensures trustworthy perception for vehicles, robots, and intelligent machines.