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FAQ

The cost of building a generative AI application varies widely depending on the complexity and requirements of the project. For simpler applications, like those built using no-code or low-code solutions, prices can start as low as a few thousand dollars. For more advanced and customized applications—particularly those utilizing Retrieval-Augmented Generation (RAG) for enhanced accuracy and real-time relevance—costs generally start around $20,000. We work closely with each client to define the scope, ensuring the solution fits their needs and budget.

We are model-agnostic and work with a range of leading foundational models, including OpenAI’s GPT series, Anthropic’s Claude, Meta’s LLaMA, and more. Our approach focuses on helping you select the model best suited to your specific needs, taking into account factors like performance, accuracy, scalability, and total cost of ownership. By tailoring our recommendations to your business goals and technical requirements, we ensure you get a solution that’s both effective and cost-efficient.

We leverage our deep SaaS expertise to cut costs and streamline development by maximizing code reuse, utilizing robust open-source frameworks, and incorporating the latest no-code and low-code tools when appropriate. By building on proven, reusable code components, we reduce redundant development efforts and accelerate time to market. Open-source solutions and adaptable low-code platforms also allow us to deliver high-quality, scalable applications without the expense of building from scratch—ensuring you get a cost-effective, reliable solution that meets your needs.

We offer comprehensive post-launch support to ensure your AI solution remains effective, reliable, and aligned with your evolving needs. Our team provides ongoing monitoring, regular updates, and performance optimization to keep your application running smoothly. Additionally, we’re available for troubleshooting and enhancements, and we retrain AI models as new data becomes available. Our support packages are flexible, allowing you to choose the level of support that best fits your business needs, so you always have a partner to maximize your AI’s impact.

We start by deeply understanding your business goals, challenges, and success metrics, ensuring that every aspect of your AI solution aligns with your objectives. Through a collaborative discovery phase, we work with you to define clear outcomes and prioritize features that drive real value. Our team maintains regular check-ins throughout development to validate that the solution is on track and making measurable progress toward your goals. This goal-driven approach ensures your AI investment directly supports your business strategy and delivers tangible results.

Yes, we specialize in building AI solutions that can interact with your organization’s data to provide accurate, context-specific responses. Using advanced techniques like Retrieval-Augmented Generation (RAG), we create AI chatbots that can pull real-time information from your data sources—such as documents, databases, and knowledge bases—ensuring that users receive relevant, up-to-date answers. This lets your team or customers ask questions and get immediate insights directly from your organization’s data, enhancing productivity and engagement.

We manage risk in the evolving AI space through a proactive, multi-layered approach that combines best practices in cost containment, security, compliance, and ongoing monitoring. Decades of SaaS expertise drives our carefully crafted agile approach. This “lean” approach is based on being able to quickly explore, refine, ship, and iterate. Tight software development cycles allow us to pivot as necessary in this constantly changing ecosystem.

We design AI solutions with scalability at the forefront, ensuring they can grow alongside your business without significant rework or added cost. Our team carefully selects architectures and deployment options that allow for seamless scaling, whether that involves increasing user load, integrating with additional data sources, or expanding functionality over time. By using modular code and cloud-native infrastructure, we build AI applications that can evolve easily, giving you the flexibility to adapt as your business and technology requirements change. This future-ready approach provides a lasting return on your investment as your business grows.

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