Timelines vary based on complexity and scope. A focused MVP typically takes 4–8 weeks, while full-scale enterprise solutions run 3–6 months. During our discovery phase, we establish a detailed timeline with milestones so you always know where the project stands.

Yes. We offer accelerated timelines for time-sensitive launches. By allocating additional resources and running parallel workstreams, we can compress delivery without sacrificing quality. Let us know your deadline and we'll scope a plan that fits.

Pricing is based on project scope, complexity, and the technologies involved. We provide transparent, fixed-price proposals after our discovery session — no hidden fees. For ongoing work, we offer flexible retainer models tailored to your needs.

Absolutely. We typically structure payments in milestone-based installments tied to deliverables. This ensures you only pay as value is delivered. We're happy to discuss a plan that aligns with your cash flow requirements.

We integrate a wide range of AI capabilities including large language models (GPT, Claude), computer vision, natural language processing, predictive analytics, recommendation engines, and custom ML pipelines. We work with both leading APIs and self-hosted models.

Yes. We specialize in retrofitting AI capabilities into existing systems. Whether it's adding intelligent search, automated workflows, or predictive features, we integrate seamlessly with your current tech stack through well-defined APIs and microservices.

Our maintenance packages cover performance monitoring, security patches, bug fixes, uptime guarantees, and regular dependency updates. We also provide monthly health reports and priority support channels so your system stays production-ready.

Yes. Our premium support tiers include 24/7 incident response with defined SLAs. For critical production issues, our on-call engineering team is available around the clock to diagnose and resolve problems swiftly.