These case studies illustrate how cipris’ benchmarking and independent price verification (IPV) deliver AI-powered precision—ensuring pricing models are reliable across scenarios, asset types, and market conditions(*).
What the client needed:
A FinTech’s pricing models were misaligned with industry outputs on pricing and Greeks, especially across multiple option types and under stressed volatility—creating risk in valuation and trading.
What we did:
We performed comprehensive benchmarking against industry standards, verifying pricing and Greeks across a wide variety of scenarios (deep/ITM, OTM, short-/long-dated, volatile markets). We identified mismatches in both methodology and implementation, then deployed AI-augmented validation fixes and technical improvements to align outputs with best-practice benchmarks.
What the client gained:
(*) Some results are based on the founder's extensive experience at top-tier financial institutions.
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