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Giant Leap allows businesses to harness the predictive and generative powers of AI / ML without the need for an in-house data engineering team.
ML as a service saves 60% or more on costs by removing the need for an internal team of engineers and data specialists.
ML as a service slashes time-to-market by about 70% or more for developing and deploying machine learning models.
Integrating with cutting-edge technologies and platforms
Giant Leap is particularly useful for business who want to leverage machine learning but may not have expertise in coding, data science, or ML algorithms.
Most existing IT stacks do not have the necessary infrastructure and resourcing required to power machine learning models and their data processing pipelines. Giant Leap manages this complex infrastructure and provides an easy-to-use API to execute your AI/ML model(s).
Enhance the data-driven decision process by integrating AI into existing software workflows, driving innovation and building a competitive advantage.
The freedom of leveraging AI/ML solutions without the need to engineer and manage complex infrastructure. Scalable and configurable to meet your needs.
Execute, manage and train AI/ML models though an API or the Giant Leap management console. AI Engineering team not required.
Robust, managed and scalable AI/ML services allow for faster time-to-market strategies and drive real-world business transformations.
Clean and preprocess your data with industry best practices, ensuring high quality performance of your specific AI/ML solution. All through the Giant Leap data processing pipeline.
Reliable and automated parameter optimization for your AI/ML model(s), powered by a distributed and scalable cloud infrastructure. In English: faster R&D cycles and a shorter time-to-market.
Effortlessly deploy AI/ML capabilities and integrate them into your real-world systems through the high-availability Giant Leap API.
Analyze your AI/ML models' performance and accuracy KPIs in one place. The Giant Leap platform facilitates a business model based on data-driven decisions.
Manage the lifecycle, versioning and training of your AI/ML models all in one place. Maintain robustness by relying on Giant Leap's purpose-built scalable AI infrastructure.
Detect fraudulent activities through pattern recognition and anomaly detection.
Analyze authorizations and audit trails to adhere to compliance and corporate governance obligations.
Generate optimal routes that minimize travel time, costs, and fuel consumption while maximizing efficiency.
Enhance demand forecasting, optimize inventory management, and improve cost optimization.
Generate predictive analytics based on real estate transaction patterns and purchasing behaviour.
Generate trust rating scores for the credibility of prospective tenants during the screening process.
The question is no longer if a company should use AI, but where it brings the greatest advantage. Contact us to find out how your company can leverage AI.
