Liquid Capital
A lending platform built and launched in a quarter.
Vectorise built Liquid Capital’s white label borrower portals, operations console and observability stack, with no production incidents during the build.
Australian owned. Forward deployed engineers based in Australia.
- The problem
- Liquid Capital needed to get a lending business to market: two brands, money on the line, and an in-flight build to take over.
- The work
- Vectorise built two white-label borrower portals and an operations console on one Go backend, with end-to-end suites gating every pull request and observability shipped as code.
- The outcome
- Both brands live end to end within a quarter, with no production incidents during the build.
- Client
- Liquid Capital
- Industry
- Private lending
- Stack
- Go, Next.js, Vercel, AWS
- Brands
- Liquid Capital and IM Capital
- Results period
- Within a quarter
- Engagement
- Ongoing
The results.
A multi-tenant lending platform moving money, live and ready for the next brand, with no production incidents during the build.
- Both brands live
- Within A quarter
- Liquid Capital and IM Capital live end to end: every page, email, and document pack carrying the right brand.
The build, carried through
A street drawn as wireframe, with the bank standing finished on its lot: the in-flight build taken over and carried through to two live brands.
The picture illustrates the build. It does not show the product itself.
The challenge.
Get a lending business to market: two brands, money on the line, and an in-flight build to take over.
- The whole product
- Money moving, multi-tenant, end to end. Two consumer brands and one admin tool, off a single Go backend. The domain spans 11 application states, 26 pay types, KYC, AML, and trust structures. Document packs render to PDF and DOCX.
- Operations tooling
- Sixteen pages, end to end. Liquid Capital’s operations team needed a portal to triage applications, send invitations, manage quotes, generate document packs, and move deals from prequalification through to settlement.
- Telemetry from day one
- Traces, logs, and objectives from launch. A platform that moves money has to be seen clearly from the first application. Distributed tracing, structured logs, front-end monitoring, and service-level objectives on the critical journeys all had to ship with the product itself.
What Vectorise did.
One multi-tenant Go backend serving three production apps, end-to-end suites gating every pull request, and observability shipped as code.
3
production apps, one Go backendShipped the product.
Two white-label borrower portals and an operations console, all served by one Go backend. Multi-tenant at the architecture level: tenant-isolated auth, brand-isolated templates, no forked code. 141 endpoints and 102 pages of product, built once and branded twice.KYC, AML
built in from the startEngineered safeguards.
KYC, AML, and trust structures designed in up front, across 11 application states and 26 pay types, with document packs rendering straight to PDF and DOCX. End-to-end and integration suites gate every pull request, and test code grew 4.3x across the build.4
service-level objectives from launchStood up telemetry.
Telemetry shipped with the product: service-level objectives on the journeys that matter (submit application, view quotes, sign-in, property search), distributed tracing across Go and Next.js, and front-end monitoring in all three apps. All of it is infrastructure as code.
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Liquid Capital needed to get a lending business to market: two brands, money on the line, and an in-flight build to take over.
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