Frequently Asked Questions

We serve a wide range of industries including manufacturing (automotive and non-automotive), logistics, silicon wafer engineering, construction and infrastructure, energy and utilities, retail and e-commerce, and more. Our domain specialists bring deep industry knowledge to every engagement.

Our typical engagement starts with a discovery phase where we understand your business challenges and data landscape. We then propose a solution architecture, followed by iterative development with regular stakeholder reviews. We handle deployment, monitoring, and ongoing optimization to ensure sustained results.

We offer flexible pricing models including project-based, retainer, and dedicated team arrangements. Pricing depends on the scope, complexity, and duration of the engagement. Contact us for a customized quote based on your specific requirements.

Project timelines vary based on complexity. A proof-of-concept can be delivered in 4-6 weeks, while full-scale enterprise deployments typically take 3-6 months. We provide detailed timelines during the proposal phase and keep you updated throughout the development process.

Absolutely. While we have deep expertise in certain verticals, our AI capabilities and methodologies are applicable across industries. If you have a data challenge, we likely have the expertise to help. Reach out to discuss your specific use case.

We work with a broad technology stack including Python, TensorFlow, PyTorch, scikit-learn, Apache Spark, cloud platforms (AWS, Azure, GCP), and various MLOps tools. We select the best technology for each use case rather than being locked into a single stack.

Data security is paramount. We follow industry best practices including encryption at rest and in transit, access controls, secure development practices, and compliance with relevant regulations (GDPR, HIPAA, etc.). We can work within your existing security framework and sign NDAs as needed.

Yes. Integration is a core part of our delivery process. We design solutions that fit seamlessly into your existing technology ecosystem through APIs, data pipelines, and middleware. We work closely with your IT team to ensure smooth deployment and adoption.

Yes, we offer comprehensive post-deployment support including model monitoring, performance optimization, retraining, and technical support. We can structure support as a maintenance agreement or include it as part of a managed services arrangement.