Embat Selected for Google Founders Forum: A Leap Towards Transforming Treasury Management
Embat, the cutting-edge AI-based treasury management platform, has been chosen to participate in the Google Founders Forum for Gemini Startups. This prestigious program will take place at Google headquarters in Mountain View this November, where Embat joins an elite cohort of 53 startups selected from over 1,000 global applicants.
Collaborating with Google’s AI Experts
Being part of the Google Founders Forum positions Embat to collaborate directly with AI specialists at Google DeepMind and Google Cloud. This partnership aims to propel Embat’s autonomous financial intelligence platform, distinguishing its innovative use of AI for treasury operations and corporate financial management.
Acknowledgment from Google: A Transformative Journey
“Google’s recognition reinforces our belief that AI can revolutionize treasury services, transitioning them from a reactive function to a proactive business partner,” stated Theo Wasserberg, UK&I manager at Embat. “We are focused on developing AI that not only automates repetitive tasks but also enhances human decision-making, allowing financial professionals to engage in strategic insights that were previously unattainable.”
Advanced AI Technology Behind Embat
Embat’s innovative approach departs from traditional rules-based automation. The company’s proprietary TellMe engine leverages advanced AI and machine learning algorithms trained on data from over 250 finance teams. This technology autonomously reconciles transactions, predicts cash flow, and anticipates liquidity risks, empowering businesses to operate more efficiently.
Impressive Time Savings and Forecast Accuracy
Clients utilizing Embat’s platform report remarkable efficiencies, saving up to 75% of their time on reconciliation tasks while achieving forecast accuracy rates exceeding 90%. This enhanced precision in financial management sets Embat apart as a leader in treasury technology.
Utilizing a Wide Range of AI Techniques
The TellMe engine employs a sophisticated blend of AI techniques, incorporating large language models, reinforcement learning, and domain-specific neural networks. Its unique architecture features separate perception and cognitive layers: the perception layer continuously processes real-time data from over 15,000 financial institutions and ERP systems, while the cognitive layer evaluates treasury scenarios, prioritizes risks, and orchestrates dynamic solutions.
Expanding Horizons: Focus on European Markets
This exciting announcement aligns with Embat’s strategic expansion into key European markets, including the UK, Ireland, DACH, and Southern Europe. The demand for sophisticated, user-friendly treasury management technology is on the rise among growing businesses, further fueling Embat’s growth trajectory.