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Whether you are exploring a specific project, evaluating vendors, or seeking strategic advice on AI and data investments, our team is ready to help.

Headquarters K-1101, 11th Floor, Tower-k, Arihant Arden,
Hg-07, Sector-1, Gr Ext. Greater,
Gautam Buddha Nagar, Noida, Uttar Pradesh, India, 201306
Company Registration CIN: U72900UP2023PTC177076
Business Hours Monday - Friday: 9:00 AM - 6:00 PM IST

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Frequently Asked Questions

Common questions about working with Factorial AI.

We offer project-based delivery, retainer-based managed services, and staff augmentation models. Most clients begin with a fixed-scope discovery and proof-of-concept phase, then transition to an ongoing engagement for production deployment and optimization.
We sign NDAs before any data sharing, implement end-to-end encryption, enforce role-based access controls, and maintain audit logs for all data access. For sensitive projects, we can deploy entirely within your infrastructure with no external data transfer.
Discovery and architecture typically takes 2-4 weeks. Proof-of-concept or MVP delivery ranges from 6-12 weeks depending on complexity. Full production deployments for enterprise-scale systems typically span 3-6 months. We provide detailed timelines during the proposal phase.
Yes. While we recommend cloud-native architectures for elasticity and cost optimization, we have extensive experience deploying on-premise, hybrid, and private cloud environments. We design solutions that match your infrastructure constraints and security posture.
Project-based work is priced on a fixed-fee basis based on scope, complexity, and timeline. Managed services and retainers are priced monthly based on resource allocation and SLA requirements. We provide transparent pricing with no hidden costs during the proposal phase.
We have deep experience in financial services, healthcare, retail, manufacturing, insurance, energy, and telecommunications. Our domain expertise combined with technical depth ensures solutions that fit regulatory, operational, and competitive realities.