Legal entity
- Registered name
- PFN Dai Pte. Ltd.
- Jurisdiction
- Republic of Singapore
- Registered address
- 79 Anson Road, #21-01, Singapore 079906
- Engineering office
- Zürich, Switzerland
- Contact
- [email protected] · +65 6817 4421
Appendix I — Compliance & Disclosure
The infrastructure behind the PFN Dai Risk & Yield Intelligence Platform is reviewed annually by independent third parties: Armanino LLP on performance, an AICPA-licensed auditor on information security, and ISO-accredited certification bodies on data-handling practice. What follows is the evidence registry that procurement, risk, and compliance teams at our institutional clients review prior to onboarding. It is structured as a fund due-diligence response — naming the issuing body, the effective date, the scope of attestation, and the registered legal entity for every claim on the rest of this site.
PFN Dai is an analytics and signal-software provider. We do not custody client assets, we do not act as a broker-dealer, and we make no claim of guaranteed returns. The certifications on this page relate to the platform itself: how we hold data, how we secure it, and how we measure it.
§ I.1 · Independent attestations on file
Each item below is a notarized attestation issued to PFN Dai Pte. Ltd. Clients under NDA may request the underlying audit report, the Statement of Applicability, or the certification certificate directly from their solutions team.
AICPA · Security & availability
Annual Type II report covering the PFN Dai signal-processing pipeline, the Deep Flow model serving environment, and production customer-data flows across all in-scope trust-service criteria. Re-issued annually; report identifier available under NDA.
ISO · Information security
Certified Information Security Management System aligned to ISO 27001:2022. Statement of Applicability covers Deep Flow model training infrastructure, on-chain indexing clusters, access governance, and vendor-risk controls. Surveillance audits on a 12-month cycle.
Performance audit · Quantitative
Independent procedural engagement performed by Armanino LLP, recomputing client strategy yields against passive DeFi benchmarks across an 18-month observation window. The audit verifies the outperformance figure; it is not a forward-looking return claim.
Data residency · EU
EU-resident customers may pin all account and indexing data to EEA-only processor and storage zones, with no third-country sub-processors in the data path. Operationally aligned to the technical-organizational measures referenced by MiCA Title III.
Certification identifiers, audit firm names, and on-file reports are released under NDA to institutional clients during onboarding. Procurement and InfoSec questionnaires are returned within three business days by the PFN Dai Trust & Compliance team.
§ I.2 · Legal entity, capital stack, and team
Full corporate, capital, and personnel disclosure so procurement, legal, and counterparty-risk teams can resolve the platform in a single pass.
Series A closed in March 2024 at a $24M primary round. Lead and strategic investors listed below; the full cap-table summary is available under NDA.
41 full-time employees as of January 2026, with a 64/36 engineering-to-GTM ratio. The quantitative-research bench includes seven PhDs and prior operators from Jump Crypto, Two Sigma, and Jane Street.
Next step
Qualified institutional teams — fund managers, treasuries, and quant desks — are invited to evaluate the PFN Dai Risk & Yield Intelligence Platform under their own compliance protocol. Request a demo and we will return your NDA, security questionnaire, and trial-tenant credentials within three business days.
PFN Dai Pte. Ltd. · 79 Anson Road, #21-01, Singapore 079906 · +65 6817 4421