30 due diligences. Same pattern every time. Smart analysts. Manual extraction. Unreproducible reports.
IACalc was built by Ariffin Yahaya — PhD Computer Science (Economics), UC Irvine. Former Chief Architect at Yahoo, Senior Distinguished Architect at Autodesk. Two decades in billion-dollar platform architecture. 30+ M&A technical due diligences across $2B+ in deal value.
The pattern was always the same: weeks of extraction, models nobody could reproduce, different banks reaching different conclusions from the same document — not because they disagreed on the thesis, but because they started from different numbers.
Screening should be deterministic. Same document, same thesis, same thresholds, same verdict. That's what IACalc does.
Sari Data Sdn. Bhd.
Bespoke software development and AI products. Owns IACalc intellectual property and operates all product infrastructure.
Registration: 201801034960
3.02d, Menara BRDB, 285 Jalan Maarof
Bangsar, 59000 Kuala Lumpur, Malaysia
Enterprise AI products for organisations where data sovereignty, auditability, and precision are not optional.
NDA-Safe Architecture
Production document inference is configured through AWS Bedrock inside the AWS deployment boundary. Documents are not processed by public consumer chatbot APIs. The processing pipeline is fully automated with no manual review.
Jurisdiction-Aware
Not a US product with a footnote. Malaysian thresholds, SC Malaysia SAC methodology, PDIE as a first-class document type, portfolio intents for GLIC and insurance IC workflows.
Computation, Not Advice
Aligned with SC Malaysia and CFA Institute Standard V(A). IACalc provides a defensible reasonable basis for investment decisions. The system computes. It does not advise.
See it on a document you already know.
The most credible evaluation is your own document, screened in a form your team can interrogate.