Will quantum-classical save you compute? A 30-second estimate.
A first-cut sanity check. Plug in the size, cost, and frequency of the workload you already run. The numbers below come from internal benchmarks on chemistry, portfolio, and combinatorial-optimisation pilots. Pessimistic side. Real numbers depend on the workload.
Estimated speedup
6×
expected; quoted at 90% confidence
Time per run after
1.3 h
from 8 h
Monthly compute saving
₹4.2 L
vs current ₹5.0 L
Annualised saving
₹50 L
12 × monthly, before pilot fees
Speedup is the expected geometric-mean acceleration on hybrid quantum-classical execution, drawn from internal pilot benchmarks. Real outcomes vary with problem instance, encoding choice, and noise of the available quantum backend. We do not commit to a number without a paid 4-week benchmark phase against your real data.
Talk to us about a benchmark.
A scoped 4-week benchmark on your data, fixed fee, fixed scope. You keep all results. If the speedup is below 2×, we say so plainly.