
Grae AI
Production Grade AI Consulting, Execution, Support
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About Grae AI
Grae AI is a DPIIT-recognized AI consulting and implementation company based in Noida, India. We help businesses across industries ideate, design, and deploy AI solutions that are production-ready, scalable, and built for real operational environments — not just demos.
Founded by AI specialists with backgrounds from SUNY Stony Brook and BITS Pilani, we bring research-grade technical depth to commercial AI problems. We are NVIDIA Inception members with active deployments across healthcare, life sciences, and enterprise use cases.
What We Do
We work across the full AI implementation lifecycle:
AI Strategy & Roadmapping — Identifying where AI creates the most leverage in your business, what to build vs. buy, and how to sequence adoption
Custom AI & LLM Development — Building production-grade AI applications, RAG pipelines, agents, and LLM-powered workflows tailored to your data and processes
AI Integration & Automation — Connecting AI capabilities to your existing systems, CRMs, ERPs, and data infrastructure
Data Infrastructure for AI — Structuring, cleaning, and pipeling your data so AI actually works reliably at scale
Compliance-Ready AI — For regulated industries: healthcare, pharma, fintech — we build AI that survives audit and meets regulatory requirements
AI Product Development — For startups and enterprises building AI-native products, we act as a technical co-build partner from architecture through launch
AI Team Enablement — Upskilling internal teams, defining AI governance frameworks, and setting up evaluation pipelines
Our Depth AreasWhile we take on AI consulting broadly, we have particularly deep expertise in:
- AI-Native Software Development - From Idea to Production
- Healthcare & Clinical AI (hospital workflows, clinical NLP, diagnostic support)
- Life Sciences & Pharma AI (clinical trials, regulatory submissions, pharmacovigilance)
- Conversational AI & Voice (Hindi/Hinglish STT, multilingual LLM deployments)
- Agentic AI systems and multi-step workflow automation
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