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/Index/Blastasia/Blastasia
B

Blastasia

BLASTASIAManage supplier listing

Structurally normalised loan-book and compliance records from every Philippine lender running on LoanOS: full loan lifecycle (digital application, underwriting workspace, maker-checker approval chain, disbursement, repayment scheduling at monthly/semi-monthly/weekly/daily cadence, closure), a configurable per-tenant house-score model, a CIC-reporting-capable credit-inquiries register (which lender queried which borrower, when, at which bureau), an immutable double-entry GL journal reconciling every peso of interest and fees, SEC MC 14 rate/penalty cap configuration per loan product, and AML artefacts (RA 9160 detection rules, CTR/STR registers, UN sanctions screening results). The latent asset is a schema-consistent cross-lender view of the Philippine non-bank middle market — financing companies, lending companies, cooperatives and fintech lenders — that core-banking suites and foreign lending SaaS do not cover.

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Blastasia/Blastasia
SampleCoverage

Sample

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Coverage

Universe, instruments and categories.

Industry
Application Software
Instruments
equities
Categories
AlternativeFundamentalReference
Regions
APAC
Sample tickers
BDO.PSBPI.PSMBTC.PSUBP.PSTEL.PS
Dataset card
Type
not stated
Format
Tabular — relational loan-ledger, GL-journal, scoring and inquiry-register tables with immutable audit trails, operated per tenant as deployed software (turnkey or subscription with code delivered to the client); no data-feed delivery mode is offered
Volume
Not published, and the product is newly launched so current aggregate cross-tenant volume is small. Bounding inference: if low tens of SME lenders each run 5K-200K active loans, the combined panel is plausibly ~100K-2M loan records, with daily repayment postings and GL journal entries multiplying transaction volume 10-50x per loan (millions to tens of millions of ledger events), growing as tenants onboard. Request total loans and postings under management.
Users
N/A — the vendor sells software to lenders, so its users are lender staff rather than consumers, and no tenant or seat count is published. Bounding inference: low tens of deployed lender tenants (inferred from a newly launched product in a 15-system series delivered by a ~130-person services firm on turnkey/xDD engagements). Request the tenant count and combined loans under management.
History
not stated
Update frequency
not stated
Growth
Active (newly launched) — a live demo-ready environment, an actively published 15-system OS Series, and an AI-native delivery factory producing code from approved specs indicate an expanding product line; however no customer references, release notes or refresh cadence are published, so production traction is unverified.
Launched
~2025-2026 for LoanOS — presented as a current launch within the BlastAsia OS Series of 15 vertical systems built through an AI-native software factory (80%+ of code generated from approved specs), i.e. a recently manufactured product line, while BlastAsia itself is longer-established (~130 staff, organisation record from ~2019). Request the LoanOS general-availability date.
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

Blastasia has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
  • Coverage
  • Provenance
  • Rights & data handling