IVFComputer was built by a couple who lived the IVF journey as patients — and came out the other side determined to make it less chaotic for everyone who comes after.
Nikhil and Nakita went through fertility treatment at a Mumbai-based IVF clinic. Nakita, an archivist by training, documented everything meticulously — every protocol, every checklist, every form.
Their first IUI failed. Not because the medicine was wrong. Not because the doctor made a mistake. Because a follow-up call didn't happen. A day-3 reminder slipped. A coordinator had 40 patients and no system — just memory and good intentions. The checklist existed. Nobody ran it.
What Nakita found inside that clinic was chaos disguised as process. Paper intake forms. WhatsApp groups for patient follow-up. Excel sheets for inventory. Five disconnected tools for one patient's journey. The harder truth: every missed step was a human being trying their best without the right infrastructure.
After their IVF cycle succeeded, they didn't celebrate quietly. They built the system the clinic should have had — one where AI runs the checklist, every time, for every patient, without anyone having to remember. Every module in IVFComputer traces back to a specific failure they lived, documented, and refused to accept.
The scan that changed everything.
Nakita is an archivist specialising in process documentation. She has documented complex operational systems for India's most respected organisations — Cipla, Godrej, and Tata Group — capturing workflows and brands that serve thousands. Her passion for IVFComputer stems from a deeply personal journey: documenting every detail of fertility treatment protocols, she discovered how systematic process architecture could empower clinics and patients alike. This documentation became the foundation of her own path to parenthood. Today, she teaches AI to students while leading IVFComputer's product vision — marrying her two passions: meticulous process design and intelligent automation.
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Nikhil is a three-time founder with 8 years of deep expertise in Cloud, ML, and AI infrastructure. He started by building ML-driven enterprise planning software for high-tech leaders like Cisco, enabling better inventory and demand planning at scale. He then ventured into marketing automation, building products that helped businesses acquire and retain customers more intelligently. Most recently at Searce, he architected AI-native solutions for enterprise clients worldwide. As a product leader, Nikhil focuses on solving real problems through technology — taking products from concept to profitability. He brings this same discipline to IVFComputer: scaling a business model that works for clinics while making fertility care accessible and effective.
Connect on LinkedInWe didn't set out to build a SaaS company. We set out to fix something broken — the experience of going through IVF and feeling like the clinic's systems were working against you rather than with you. The software came later. The frustration came first.
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