Databridge
Databridge: Thai Lending Data and AI-OCR in One Layer
The identity, credit and asset sources Thai lenders need come pre-integrated, and AI-OCR turns IDs, payslips and statements into checked data, so every step of the loan works from the same trusted inputs.
- 1
- integration layer for every module
- 0
- re-keying into LOS
- Any
- OCR engine, pluggable
The integration tax
Integration shouldn't be the bottleneck
Lenders should be able to evaluate a data source on its value—not the months of engineering work around it.
01
Every source becomes its own project
A new bureau or identity provider often creates another custom integration to build, test and maintain.
02
Documents are keyed in by hand
IDs, payslips and statements are re-typed by officers, the biggest cost in origination at THB 1,500–2,000 per loan.
03
Data arrives in different shapes
Provider formats vary, leaving technical teams to map responses before business teams can use them.
Supported data sources
The Thai data lenders need, pre-connected
Projects spend their time on product design, not plumbing: the sources below are already integrated, and data is pulled with the customer’s consent.
Identity
DOPA, NDID and ThaiD for national ID checks, used by Connext eKYC and for NCB consent.
Verify a customer against national records in one step.
Credit & compliance
NCB credit bureau, AMLO and PEP screening, and the DBD company registry, called in parallel from the LOS workflow.
Run credit and AML checks without waiting in sequence.
Asset value
Redbook and Bluebook vehicle pricing and encumbrance checks for hire purchase and leasing.
Value the vehicle on the showroom floor, the same day.
Banking & channels
Core banking, GL and accounting, payment gateway, LINE OA, SMS-OTP, email and push notifications.
Book, collect and notify through the systems you already run.
AI-OCR turns documents into checked data
Databridge AI-OCR extracts fields from IDs, passports, payslips, bank statements, business registration and vehicle books, checks image quality, expiry and cross-field consistency, flags tampered documents, and feeds the results straight into LOS tasks and decision rules.
Ask about the Databridge API
ai-ocr-response.json
[NEEDS CONFIRMATION]{"request_status": "complete","document_type": "payslip","fields": {"employer": "extracted","net_income": "extracted"},"checks": ["quality", "consistency", "tamper"]}
Illustrative response only. Final endpoint and field names require confirmation.
Architecture
How Databridge fits into your stack
The data layer under every phase of lending, between external providers and the systems your teams already use.
01
Connect once
Integrate national ID, credit, asset and banking sources through one Databridge layer.
02
Read and check documents
AI-OCR extracts fields and flags quality, consistency and tamper issues before a person opens the file.
03
Route where needed
Feed Connext onboarding, LOS tasks and rules, Abacus servicing, or your own systems through open APIs.
04
Monitor in one place
See integration activity and manage connections from one surface. [NEEDS CONFIRMATION]
Use cases
Built for every lender
One data layer, already running for banks, digital lenders and hire purchase providers in Thailand.
Banks
Connect a large existing estate
At a leading Thai bank, the platform connected 32 internal systems and 118 external APIs behind one origination flow.
Digital lenders
Onboard and decide on mobile
A state-backed digital lender uses NDID and ThaiD for identity and NCB consent, with no branch visit.
Hire purchase & leasing
Value the vehicle at the dealer
Redbook or Bluebook pricing, encumbrance checks and vehicle book OCR feed same-day approval at the showroom.
Operational confidence
Proven in production
Figures from a leading Thai bank running Thinker LOS on Databridge, and from AI-OCR in production.
- 32
- internal systems connected at one bank
- 118
- external APIs at the same bank
- 5+
- document types read by AI-OCR, from IDs to statements
Buyer questions
How this is different
A practical comparison for teams deciding whether to build another direct provider connection.
How is this different from separate provider integrations?
Your stack connects once to Databridge rather than building and maintaining a different connection for each source. The Thai identity, credit and asset sources are already integrated, and AI-OCR sits in the same layer.
Can sources outside the default list be supported?
Databridge is built to add sources: OCR runs on a pluggable third-party engine, so you can choose the provider, and new sources are scoped during implementation. [NEEDS CONFIRMATION]
Does it work standalone, or only with Thinkerfint lending products?
Both. Every Thinker Suite module runs on its own through open APIs and is pre-integrated with the others, so Databridge can feed Connext, LOS and Abacus or your own systems.
Frequently asked questions
What teams ask before connecting
The practical questions lending, risk, and technology teams ask before a demo.
See how Databridge fits your lending stack.
Bring your current data sources and target architecture to the conversation.