We work at the cusp of technology and business.
Most technology advisors make your systems better. We make your metrics story better — so the technology conversation in your next investor meeting is an asset, not a liability.
Technology advisory for founders who are thinking about their next round.
QuantaVectra Labs helps seed and Series A founders fix the three technology problems that consistently show up in investor conversations: cloud costs that are eating runway, an AI story that isn't ready to be told, and agentic AI systems that can't explain themselves to enterprise buyers or regulators.
We don't deliver slide decks. We deliver prioritised findings, scoped opportunity briefs, and implementation roadmaps — written for both your CTO and your co-founder, ready to act on immediately.
AI Foundations
Map your workflows, find where AI fits, and get two reports: one for investors, one for you.
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Nishant Nagwani
Nishant is a technology executive with 15+ years of experience building and scaling software systems across fintech, edtech, and enterprise SaaS. He has architected platforms serving millions of users, led engineering teams from 0 to 20+, and delivered 40–50% cloud cost reductions for funded startups across Indian and US markets.
His work spans both the Indian and US markets, giving him a practical perspective on what investors in both ecosystems ask about — and what founders need to fix before they walk into those conversations.
He founded QuantaVectra to bring that same calibre of technical leadership to founders who need senior guidance without the overhead of a full-time hire.
The best technology advice comes from someone who has actually built, broken, and fixed these systems.
No product to sell you
Every AI tool vendor and hyperscaler account manager has an agenda. We don't. If the right answer is a $20/month tool, that's what we'll recommend.
Both sides of the table
We understand what investors ask about in a Series A. That shapes every recommendation — not just what's technically correct, but what moves the fundraise forward.
Production, not theory
The difference between advice from someone who has shipped AI systems at scale and someone who has read about it is the difference between a working system and a stalled implementation.
15+ years. Millions of users. Across two continents.
Industries
- •Financial Technology (Fintech)
- •Education Technology (EdTech)
- •Enterprise SaaS
Geographies
- •India (Mumbai-based)
- •United States
- •Global remote engagements
Deep domain context means the recommendations fit your business — not just your tech stack.
The work speaks for itself.
Converted a dual-codebase fintech startup to a unified SaaS architecture — eliminating double development overhead and unblocking revenue growth.
Read the case study →40% cloud cost reduction for a fast-growing AI startup whose infrastructure spend was outpacing revenue.
Read the case study →Multi-stakeholder AI platform for career counselling serving 50,000 users with 99.9% uptime.
Read the case study →These results reflect Nishant's hands-on work across 15 years of technology leadership — the experience QuantaVectra is built on.