About
FinDoc is a product of Sari Data Sdn. Bhd., a Malaysian technology company specialising in AI systems for regulated industries.
Built for Institutions That Cannot Compromise
Sari Data builds AI products for organisations operating under stringent regulatory, fiduciary, and confidentiality requirements — sovereign wealth funds, pension funds, insurance companies, and asset managers in Malaysia and across Southeast Asia.
The company was founded on a specific conviction: that AI in regulated industries must be fundamentally different from consumer AI. Every output must be traceable to its source. Every calculation must be auditable. Every piece of client data must remain within the client's control. These are not features to be marketed — they are architectural constraints that shape every design decision.
FinDoc is Sari Data's financial document intelligence platform. It applies computational rigour to the process of screening financial documents for institutional investment decisions. The system replaces subjective interpretation with structured, transparent, reproducible analysis — the same document with the same intent always produces the same result.
The platform draws on deep experience in financial technology and M&A due diligence. The underlying engine incorporates 42+ financial calculators, 250+ structured signals across 9 risk domains, and a methodology informed by 43+ academic sources, SC Malaysia regulatory frameworks, and empirical benchmarks from Bursa Malaysia and Bank Negara.
Sari Data Sdn. Bhd.
(Registration No. 201801034960)
3.02d, Menara BRDB
285 Jalan Maarof, Bangsar
59000 Kuala Lumpur, Malaysia
Design Constraints, Not Marketing Claims
FinDoc computes structured analysis from your documents. It does not generate opinions, forecasts, or buy/sell recommendations. The investment decision is always the analyst's. The system's role is to make the underlying data visible, structured, and verifiable.
If data is not present in the uploaded document, it does not appear in the report. No "likely" qualifiers, no invented peer comparisons, no estimated industry benchmarks. Where a signal requires absent data, the report states "insufficient data" — not an approximation.
Every extracted value is traced to its source page and table. Every threshold is documented — the base value, the intent weight, the jurisdiction override, the composite result. Every verdict shows its complete arithmetic. The audit trail is the product.
Client documents are processed within AWS infrastructure and never leave the client's cloud boundary. No data is shared with third-party LLM providers. No document content is used for model training. NDA compliance is an architectural property, not a policy promise.
The same document screened with the same intent always produces the same result. There is no randomness in signal evaluation, threshold application, or verdict generation. Reproducibility is a core design requirement for institutional decision-making.
Get in Touch
We work directly with institutional teams. Contact us to discuss how FinDoc can support your investment screening workflow.
Contact Sari Data