Frequently Asked Questions

AIVelox offers end-to-end AI software development, including model design, data preparation, custom algorithm creation, and user interface development tailored to your operational needs.

Our integration process begins with system analysis and data mapping, followed by API development and testing. We ensure compatibility and minimal downtime, delivering a cohesive solution.

We serve diverse sectors such as healthcare, manufacturing, retail, logistics, and more, applying AI to optimize workflows, enhance decision-making, and automate routine tasks.

Project durations vary based on scope and complexity. Generally, initial prototypes are delivered within a few weeks, with full deployment occurring over several months through iterative development.

To start, fill out our contact form or send an email to [email protected]. We’ll schedule a consultation to understand your requirements and propose a tailored AI strategy.

AIVelox implements rigorous access controls and encryption protocols to protect sensitive information and maintain compliance with industry regulations during every stage of AI integration.

Yes, our development team collaborates closely with clients to customize AI models, aligning algorithms and workflows to unique operational requirements and desired outcomes.

We serve a wide range of sectors including healthcare, manufacturing, retail and logistics, applying our AI expertise to optimize processes, enhance customer experiences and drive operational efficiency.

Project timelines vary based on complexity, but most integrations are completed within three to six months, encompassing requirements analysis, development, testing and deployment phases.

We offer post-deployment support packages that include performance monitoring, model updates and troubleshooting to ensure your AI systems continue to operate smoothly.

Our integrations are designed to be user-friendly, requiring minimal technical oversight; we provide documentation and training sessions to empower your staff to manage and interpret AI outputs.

We design architectures with modular components and scalable cloud services, allowing your AI solutions to expand seamlessly as data volumes and user demands grow.

Our proposals detail all expected expenses, including development, integration, licensing fees and optional support tiers, ensuring full transparency throughout the engagement.

Our team has expertise in popular machine learning frameworks such as TensorFlow and PyTorch, as well as cloud platforms like AWS, Azure and Google Cloud for flexible deployment options.