TL;DR:
- AssetFloow, a Lisbon-based startup, is revolutionizing AI forecasting with its custom-built large language learning models (LLMs).
- Led by co-founder and CTO Ricardo Santos, AssetFloow’s Dynamic Flow Network (DFN) architecture achieves a 99% accuracy rate in AI forecasting, surpassing industry heavyweights.
- The second-generation DFN model showcases unparalleled versatility and performance, outperforming established forecasting models like Google’s WaveNet and Amazon’s DeepAR.
- AssetFloow’s DFN technology demonstrates practical applications, such as stock portfolio optimization, with a remarkable 79% profitability rate.
- Securing a €1.5 million investment in 2023, AssetFloow aims to democratize access to advanced forecasting capabilities through DFN solution APIs, empowering businesses across diverse industries.
- By addressing issues like food waste in the retail sector, AssetFloow is not only reshaping industries but also contributing to a more sustainable future.
Main AI News:
In the realm of AI forecasting, Lisbon-based startup AssetFloow is making waves with its innovative approach. While established companies like Mistral AI and Silo AI have long been synonymous with cutting-edge technology, AssetFloow has emerged as a formidable competitor, surpassing industry giants like Google, Amazon, and Meta.
At the core of AssetFloow’s success lies its commitment to developing custom-built large language learning models (LLMs). Unlike off-the-shelf solutions, these bespoke models offer unparalleled flexibility and accuracy tailored to specific business needs. By leveraging its Dynamic Flow Network (DFN) architecture, AssetFloow has achieved remarkable results, boasting a 99% accuracy rate in AI forecasting.
Led by co-founder and CTO Ricardo Santos, AssetFloow’s DFN represents a paradigm shift in predictive analytics. By eschewing traditional feature engineering techniques, DFN learns the intricate cause-effect relationships within data, unlocking new possibilities for businesses across various sectors.
Santos elaborates on the significance of this breakthrough, stating, “DFN’s versatility allows it to excel across all dataset categories, a feat previously unattainable in forecasting models. Its second-generation iteration marks a pivotal moment in AI technology, offering unmatched performance and adaptability.”
AssetFloow’s success extends beyond theoretical prowess, with practical applications yielding tangible results. In a recent test run, the first-generation DFN model demonstrated exceptional proficiency in stock portfolio optimization, outperforming seasoned traders and achieving a remarkable 79% profitability rate.
Fueling its ambitious endeavors, AssetFloow secured a €1.5 million investment in March 2023, signaling confidence in its mission to revolutionize the retail sector. With the launch of DFN solution APIs, AssetFloow aims to democratize access to advanced forecasting capabilities, empowering businesses across diverse industries to unlock actionable insights and drive growth.
As global initiatives to combat issues like food waste gain momentum, AssetFloow remains steadfast in its commitment to effecting positive change. By providing retailers with the tools to eliminate inefficiencies and optimize operations, AssetFloow is not only reshaping industries but also contributing to a more sustainable future.
With its disruptive technology and unwavering vision, AssetFloow is poised to redefine the landscape of AI forecasting, paving the way for a new era of data-driven innovation.
Conclusion:
AssetFloow’s groundbreaking advancements in AI forecasting present a significant shift in the market landscape. By offering highly customizable and accurate solutions, AssetFloow empowers businesses to make informed decisions, drive growth, and address pressing challenges such as food waste. As organizations increasingly prioritize data-driven insights, AssetFloow’s innovative approach positions it as a leader in shaping the future of predictive analytics.
