InstaDataHelp AI Services Private Limited is a Jaipur-headquartered AI engineering company building production AI since 2019 — embedding intelligence directly into business-critical workflows across healthcare, construction, logistics, manufacturing and energy, with a growing presence across India, the Middle East, Canada and the US.
In June 2026, siliconindia named us an AI Startup of the Year 2026 for AI-based enterprise automation.
Make Gen-AI useful to organisations that don't have data-science teams of their own — by shipping working products, not slide decks.
Small, senior teams. Two-week pilots. Honest about what AI can and can't do today. We measure ROI before scope.
Six production products across healthcare, industry, and enterprise. We use them inside our own consulting — so they stay sharp.
A founder-led company. Strategy, delivery, and client engagement all flow through one person.
CEO & Founder
Driven by a passion for leveraging AI and analytics to solve real-world problems and empower organisations — especially in healthcare and enterprise sales. Leads InstaDataHelp's product portfolio including the flagship InstaPraxis unified clinic OS.
siliconindia featured InstaDataHelp for embedding intelligence directly into business-critical workflows — from an AI Bid Comparative Statement platform to InstaPraxis, our AI clinic operating system.
InstaDataHelp AI Services Pvt Ltd is backed by a senior generative-AI researcher and leader attached to academia, a senior product leader from one of the world's top pharmaceutical companies, and a senior delivery leader from a major Indian IT services firm.
A senior generative-AI researcher & leader, attached to academia.
Frontier research translated into models that actually ship — not papers that sit on a shelf.
A senior product leader from one of the world's top pharmaceutical companies.
Regulatory-aware, clinically grounded product thinking — essential for healthcare AI like InstaPraxis.
A senior delivery leader from a major Indian IT services firm.
Production-grade engineering discipline, SLAs, and scale — the difference between a demo and a deployment.
Together, this blend of academic depth, pharmaceutical product instincts, and IT-delivery rigour compresses the path from research idea to production-grade deployment.
