AI Development Company

Yes, our skilled AI app developers are trained enough to integrate AI models into existing IT infrastructure. To ensure seamless functionality, we analyze the need to build API gateways and services that sync data and processes bidirectionally. Leveraging years of experience, our AI developers ensure minimal disruptions and improved automation while optimizing workflows for better efficiency and business growth.

The estimated cost to develop an AI-enabled application depends upon various factors including complexity, features, and the expertise of the development team. A simple AI-powered app may cost between $20,000 to $50,000, while the complex yet advanced app version with deep learning and real-time processing may cost between $75,000 to $100,000+.

The timeline for developing an AI-based product varies based on the project's scope and complexity. A basic AI app development would take 3 to 5 months, whereas a fully functional AI-powered application with extensive features may take 9+ months. To determine the accurate timeline of your AI app development cost, it is worth consulting the experts who will evaluate factors like data collection, model training, and integration with existing systems as these factors also impact the development time.

Yes, as a leading AI app development company, we provide continuous monitoring, updates, and performance optimization services to ensure that your AI app will run flawlessly and remain aligned with the business needs.

Being at the forefront of providing AI app development services, we rely on trusted communication and project management tools. For collaboration, we use industry-leading tools like Jira, Trello, Slack, and Microsoft Teams to maintain project transparency and share real-time project updates. In addition, for project management, we follow an agile methodology ensuring flexibility and timely delivery.

AI-as-a-Service (AIaaS) is more like cloud-based AI solutions that allow businesses to leverage AI capabilities without the need for in-house infrastructure, expertise, or large-scale investments. It provides AI tools, frameworks, and pre-trained models on a subscription or pay-as-you-go basis.

Fine-tuning the AI model refers to upgrading the pre-trained model and further training it on a smaller or domain-specific dataset to improve its performance. Instead of training a model from scratch, fine-tuning adapts an existing model to better suit a specific application.