Frequently Asked Questions

We work across diverse fields including Fintech & Banking, Retail, Healthcare, Manufacturing, CPG (Consumer Packaged Goods), and Mobility. Our team tailors solutions to meet domain-specific regulatory and functional needs.

Yes. We offer end-to-end consulting including AI strategy definition, analytics roadmaps, data maturity audits, and Gen AI readiness assessments to ensure your systems are prepared before committing to development investments.

We work with all leading foundation models including GPT-4 / GPT-4o (OpenAI), Gemini Pro / Ultra (Google), Claude 3 / 3.5 (Anthropic), and LLaMA 2 / 3 (Meta), in addition to proprietary, custom-finetuned open-source deployments tailored to specific compliance constraints.

Our platform handles virtual try-on, pose transfer, recoloring, and still-to-video processing. It leverages custom generative models to cut photoshoot dependency and overhead by up to 80% while preserving high resolutions.

We build security into the architectural foundation. Deployments feature role-based access control (RBAC), end-to-end encryption in transit and at rest, automated audit trails, and VPC setups. All our workflows are designed to align with SOC 2, HIPAA, and GDPR standards.

Absolutely. Every engagement is fully customized. Whether you need a specific, scoped integration module or a comprehensive, custom-trained enterprise platform, we tailor the pipelines, model choices, and UIs to your existing ecosystem.

A typical proof-of-concept or pilot implementation takes 4 to 6 weeks. Complete, scaled enterprise platform deployments generally span 3 to 6 months depending on integration complexity, data engineering requirements, and compliance validation testing.

Yes. We support on-premise, hybrid, and private cloud deployments (AWS, GCP, Azure, or private VPCs) so that customer data never exits your secure infrastructure boundary.