We help founders fix the technology
problems that show up in investor
conversations.
Most tech advisors make your systems better.
We make your metrics story better — cloud costs that extend runway, AI strategies that answer the investor question, and governance that unblocks enterprise deals.
Three problems. One through-line.
Every service we offer helps founders fix something that shows up — or should show up — in an investor conversation.
Cloud Cost Optimisation
Your AWS/GCP bill is growing faster than revenue. We audit your infrastructure, find the waste, and give you a prioritised roadmap. Typical outcome: 30–50% cost reduction, months of runway returned.
AI Foundations
Investors are asking about your AI strategy and you don't have a crisp answer. We map your workflows, assess your data, and deliver two reports — one for your investors, one for you. In 2–3 months.
Agentic AI Audit
You have AI agents running in production. Can you explain every decision they made? We design and build the audit and governance layer — so you're ready for compliance, enterprise procurement, and your next raise.
Built for founders at the cusp of their next raise.
You're preparing for a raise
AI Foundations gives pre-seed founders an evidence-backed AI narrative before their first raise. Cloud Cost Optimisation and Agentic AI Audit help Seed and Series A founders fix the infrastructure and governance problems investors scrutinise most.
You're scaling and the numbers are getting complicated
Cloud costs are growing faster than revenue. Your team is using AI informally but you don't have a strategy. You have AI agents in production that nobody can fully explain. These are solvable problems — and solving them compounds.
Led by someone who has actually done this.
Nishant Nagwani 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.
QuantaVectra was founded on a simple insight: the best technology advice comes from someone who has actually built, scaled, and broken these systems before — and understands what investors ask about them.
Every industry has a technology problem
that shows up in the numbers.
Deep domain context means the recommendations fit your business — not just your tech stack.