Many organizations struggle with AI because existing options are either too narrow in scope, too generic to address specific needs, or too complex to implement effectively. Off-the-shelf tools often require businesses to adapt their processes to fit the technology, rather than the other way around. Building custom AI solutions from scratch is time-consuming, resource-intensive, and requires specialized expertise. Traditional consulting engagements can deliver results, but often take months and come with substantial costs that are difficult to justify and maintain. The Managed AI Delivery Platform addresses these shortcomings by providing a flexible and efficient alternative that avoids the pitfalls of one-size-fits-none solutions, lengthy development cycles, and expensive consulting fees.
At the heart of the platform lies a powerful architecture of deep technical building blocks, encompassing search, reasoning, automation, and more. These building blocks are orchestrated by 'Blueprints,' which are spec files tailored to each unique use case. This modular approach allows for rapid configuration and deployment, ensuring that solutions are accurate, secure, and enterprise-grade. The platform’s ability to connect to any data source – SaaS applications, APIs, databases, and files – without requiring model training or fine-tuning further streamlines the implementation process. Testimonials from companies like Cushman & Wakefield, Nomura, Tarsus Distribution, and Climb Global Solutions highlight the platform’s ability to deliver tangible value and drive innovation.
