Skip to content
Credit infrastructure, not a lender

Underwrite, monitor, and collect on autopilot.

Trazmo's AI agents automate the lending operations that eat your team's week: statement spreading, portfolio monitoring, collections, reconciliation. You keep the credit decision, the book, and the licence.

Backed by investors. Built on production infrastructure.Pakistan · GCC · MENAP
Salica Investments
Alwaha Fund of Funds
Spring Studios
Google Cloud for Startups
NVIDIA Inception Program
Coeus Solutions

The operational work exists either way. The question is who does it.

Today

Your team does it by hand

Every step is a desk. Weeks pass before a file is decision-ready.

Spread statementsby hand~1 week / file
Score creditanalyst judgementundocumented
Watch the portfoliomonth-end packweeks late
Collect & reconcilespreadsheet chasemonth-end

On the rail

The agents do it, in software

Each step is an agent doing the work. Your team reviews and keeps the decision.

Statements spreadDocuMinda week → minutes
Credit scored, explainedSentineldefensible
Portfolio watchedRiskRadarflags early
Collected & reconciledCollectBot · ReconAIdaily
You approve or declinehuman in the loopyour call

Connects to your stack

Plugs into the systems your teams already run

See the platform diagram

Bank statement feeds

Direct uploads or account aggregation across local banks

Card & POS networks

Settlement and acquiring data from card and POS providers

Bureaus & registries

Credit bureau pulls and government business registries

Core banking systems

Sits alongside your core; Vertex exports to your chart of accounts

REST APIs & webhooks

Every arrow on the rail is an API. Embed it or build on top

Specific provider integrations are scoped per engagement. Named connectors shared under NDA.

20 days

From lead to a credit-ready file before Trazmo Rails, almost all of it manual

<1 day

Files now reach the credit team review-ready, on the rail

100%

Digital intake, with zero re-keying across desks

Figures from the Wasl Financial Services SME origination program.

Case study · Wasl Financial Services

How Wasl collapsed a twenty-day pipeline into a single day

Wasl Financial Services was losing three weeks to paper before a credit officer ever saw a file. On Trazmo Rails intake went fully digital, DocuMind extracts every application on arrival, and partners send structured leads, so files reach the credit team review-ready in under a day.

Before

20 days

Everything before the decision was manual

Applications filled out on paper
Data re-keyed by hand across desks
Unstructured lead intake from partners
Credit team waiting on operations

After, on Trazmo Rails

<1 day

The rail does the work, Wasl decides

Fully digital application on the rail
DocuMind extracts the data automatically
Partners generate structured leads
Wasl reviews finished files and decides

Trazmo turned our lead intake into a digital pipeline. Applications that used to take the better part of a month to process now reach a credit officer in under a day, review-ready.

Laiba Nadeem · Wasl Financial Services

See the full case study

Who it's for

Built for every shape of SME lender

Commercial banks

Add a fast SME lane without re-platforming the core. Sentinel and DocuMind sit in front; decisions stay with your committee.

SCALE AN UNDERSERVED SEGMENT
NBFCs

Run the whole rail (originate, decide, disburse, collect) without building ledger and treasury infrastructure yourself.

FULL ORIGINATE-TO-COLLECT
Fintech lenders

Ship on day one with APIs for scoring, settlement, and reconciliation. Compose only the modules you don't want to own.

API-FIRST, COMPOSABLE
Embedded platforms

Offer credit inside your marketplace or POS product. Route applications to partner lenders on one rail, under your brand.

CREDIT AS A FEATURE

Built for your risk and diligence teams

Full security & compliance posture

Encrypted end to end

TLS 1.2+ in transit, AES-256 at rest, separate key scopes for PII

Data stays in-region

In-country deployments per your regulator; single-tenant available

Every decision audited

Immutable trail of inputs, rules, and operator on every decision

No credit risk held

Infrastructure, not a lender. The book and the licence stay yours

SOC 2 Type II audit underway; the report and current controls are available under NDA on request.

Common questions

The questions risk and IT teams ask first

More detail on the security page or in a working session.

Do you hold any credit risk or lend off your own balance sheet?

No. Trazmo is technology infrastructure. We hold no book, take no credit risk, and never compete with the institutions we serve. Lending decisions, licences, and balance sheets stay entirely with the regulated lender.

Where does borrower data live?

Deployments run in-region. Pakistani client data stays in Pakistan-approved infrastructure; GCC deployments use in-country or in-region cloud per the local regulator. Dedicated single-tenant environments are available at the Network tier.

How is it deployed, and how long does integration take?

Every module exposes a REST API and sits alongside your core banking system rather than replacing it. A typical pilot reaches its first live decision in about six weeks, engineer-led, on one module and capped volume.

Are decisions explainable for our regulator?

Yes. Sentinel runs policy rules before the model and ships every score with its drivers ranked. Each decision carries an immutable trail of inputs, rule evaluations, score versions, and the operator who actioned it, exportable to your regulator's reporting formats.

Do you support Sharia-compliant products?

Natively. Products are configured with profit rates or markup, and Murabaha-style facilities carry their commodity and ownership steps in the ledger, so the accounting reflects the structure. Scholar board review of specific configurations stays your process; we provide the documentation pack.

Can we start with one module instead of the whole platform?

That's the common path. Most institutions begin with statement spreading or scoring on real volume, prove the mechanism on their own book, then compose the rest as volume justifies it.

Put your next hundred applications on the rail

A working session with an engineer: your products, your credit policy, your data sources.