An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.
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High-Performance Data Engineering. Total Sovereignty.
TIMi delivers the power of a complete cloud data stack—on-premises, fully sovereign, and ridiculously fast.
We reject artificial vendor lock-in and hidden costs. Instead, we offer absolute peace of mind through engineering excellence, giving your team the freedom to experiment, innovate, and solve complex AI, analytics, and automation challenges in record time.
Why Top Enterprises Choose TIMi?
Enterprise Integration & *No-Code* ETL/Data preparation: Automate complex workflows and seamlessly link your entire stack: SAP, Salesforce, SharePoint, S3, Azure Storage, PowerBI, Tableau, etc.
Unmatched Infrastructure Efficiency: Our competitors such as Databricks, Dataiku, and MS Fabric all rely on Spark—and that makes them inherently inefficient since a single €2k TIMi server outperforms a 267-node Spark cluster. TIMi process billions of rows in seconds and manage petabyte-scale data lakes at a fraction of the cost.
Proven AI Leadership: Harness pioneering machine learning from the creators of the first Auto-ML engine (est. 2007).
Whether deployed on-premises or via our EU-Hosted Sovereign Cloud, TIMi empowers leaders in Banking, Telecoms, Manufacturing, Retail, Defense and Government.
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Zinia
The Zinia AI platform effectively bridges the gap between key decision-makers in business and artificial intelligence solutions. Now, you can develop reliable AI models independently of technical teams while ensuring that these models align with your business goals. This innovative technology is designed to help you construct AI initiatives that start with business needs, significantly enhancing revenue by 15-20% and boosting efficiency by reducing the time required for AI implementation from several months to just days. Zinia focuses on optimizing business results through a human-centered approach to AI. Many organizations find that their AI development efforts do not align with their business key performance indicators. To tackle this critical issue, Zinia aims to democratize AI for everyone, putting advanced machine learning and AI technologies directly in your hands. With a team boasting over 50 years of expertise in AI, Zinia serves as a reliable platform that demystifies cutting-edge technology and paves the quickest route from data analysis to informed business decisions. By utilizing Zinia, organizations can foster a more integrated approach to AI that not only meets their immediate needs but also aligns with their long-term strategic vision.
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NovaFori
NovaFori
We are a cutting-edge technology firm based in London, Malaga. With a decade of experience in business analysis, market design, development, and data science, we can offer you the best. Our technology supports B2B clients in Europe, North America, and Asia. We have processed more than $11 billion in GMV through our platforms since our inception.
The Platform
Our data science-powered auction and trading platform is used in multiple industries including procurement, financial services, and logistics. The technology platform is modular, flexible, scalable, and modular. It was designed with the B2C user in mind and complex product attributes for the B2B market.
Data Science
Machine learning algorithms are used to analyse data and predict future trends, optimise market performance, and leverage data.
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