Frequently Asked Questions

You can start by contacting our team via email or phone to schedule a discovery workshop. We'll collaborate to define objectives, scope, and deliverables, and outline a project plan.

Lumira works across diverse sectors such as healthcare, manufacturing, retail, logistics, and smart cities, applying AI to solve complex challenges and drive operational efficiency.

We implement industry-standard encryption, access controls, and anonymization techniques. Our practices comply with Canadian data protection regulations to safeguard sensitive information.

Yes. Our engineers design APIs and connector modules that enable seamless integration of AI models into your current software ecosystem and workflows.

Timelines vary based on complexity, but most projects progress from initial consultation to pilot deployment within 8 to 12 weeks, followed by iterative refinement.

Upon project completion, you receive comprehensive source code documentation and version history. This transparency ensures you can maintain or extend the solution independently.

We apply best practices such as cross-validation, hyperparameter tuning, and performance benchmarking, ensuring models are robust, unbiased, and effective for real-world data.

Our post-deployment support includes performance monitoring, troubleshooting, periodic updates, and recommendations to adapt the solution as your data evolves.

Solutions are built with scalability in mind, leveraging cloud-native architectures and modular design to accommodate increased data volumes and user demand.

We utilize frameworks such as TensorFlow, PyTorch, and scikit-learn, combined with cloud platforms like AWS and Azure, as well as open source tools for data processing.

Costs are based on project scope, data complexity, infrastructure requirements, and desired performance criteria. We provide a detailed proposal with transparent pricing.

Yes. We have flexible support plans for ongoing maintenance, updates, and performance reviews, ensuring your AI solution remains reliable and effective.

Our team can conduct on-site or virtual training sessions to empower your staff with the knowledge to use, monitor, and extend the AI solution confidently.

We define key performance indicators during planning, such as accuracy metrics, processing speeds, or operational improvements, and track these metrics throughout the project lifecycle.