We build production AI systems across Fashion & Retail, HR Tech, Healthcare, Insurance & BFSI, Supply Chain & Logistics, EdTech, and Government. Our two deepest practice areas are Fashion AI (trend intelligence, visual search, material discovery) and HR Tech AI (multi-agent chatbots, resume screening, performance AI) — both with live enterprise deployments. 

It depends on the use case. For trend forecasting or recommendation engines, we train models on your industry data. For conversational AI and automation, we connect to your existing knowledge bases, documents, and systems using RAG (Retrieval-Augmented Generation) — so the AI learns from what you already have, not generic internet data. 

We don't just build AI — we build AI that works inside your industry's actual workflows. For fashion, that means AI trained on fashion data, not generic image models. For HR, that means agents integrated into Microsoft Teams and your HRMS, not a separate portal. We have dedicated practice areas with domain expertise, not generalists applying the same approach to every industry. 

Yes. Our AI engineering capabilities — Agentic AI, Generative AI, Computer Vision, Conversational AI — are industry-agnostic. We have built AI systems for manufacturing, entertainment, fitness, FMCG, and legal sectors as well. Tell us the problem and we will tell you whether AI can solve it. 

Most industry-specific AI MVPs take 6–10 weeks. Our HR chatbot with 8 specialist agents went from proof of concept to live production in 6 weeks. Our Fashion AI Visual Search platform followed a similar timeline. Full enterprise-scale systems typically take 3–5 months.