We're an AI products and services company built by practitioners.
InstaDataHelp AI Services Private Limited has been building production AI since 2019 — for healthcare, industry, sales, and supply chains.
Mission
Make Gen-AI useful to organisations that don't have data-science teams of their own — by shipping working products, not slide decks.
How we work
Small, senior teams. Two-week pilots. Honest about what AI can and can't do today. We measure ROI before scope.
What we own
Six production products across healthcare, industry, and enterprise. We use them inside our own consulting — so they stay sharp.
2019
Founded
6+
Production products
9
Training programs
20+
Enterprise engagements
Leadership
The founder behind the products.
A founder-led company. Strategy, delivery, and client engagement all flow through one person.
FounderEst. 2019
Sampa Pal
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.
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.
Generative-AI Research
A senior generative-AI researcher & leader, attached to academia.
Frontier research translated into models that actually ship — not papers that sit on a shelf.
Academic depth
Pharmaceutical Product
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.
Pharma product instincts
IT-Services Delivery
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.
IT-delivery rigour
Together, this blend of academic depth, pharmaceutical product instincts, and IT-delivery rigour compresses the path from research idea to production-grade deployment.