A market is only as strong as the people who run it. LitFin trains and certifies exchange and market personnel, from listings and disclosure to surveillance and settlement, rehearsed on a simulated credit-notes pool. It never originates or trades credit. Built for Tanzania, expanding across East Africa.
Training simulation: a practice tranche backed by 1,200 sample SME cases, each appraised by an officer trained to the LitFin standard, median ticket TZS 18M, weighted DSCR 1.41, seasoning 4 months. Officers rehearse listing and disclosure here; LitFin never originates or trades real credit.
Liquidity follows transparency. LitFin supplies the second so the first follows.
Not an annual PDF. A live training view: DPD buckets, weighted yield, DSCR distribution, regional and sector splits, rehearsed on sample pools.
Officers trained to the LitFin standard structure each sample case to one format from the first line, so a practice pool reaches listing-eligibility checks the same day, all inside the simulation.
The document chain collapses in the simulation. Everyone practising a role reads the same numbers the exchange would track.
Every officer masters one appraisal and disclosure standard through AI role-play, so each sample case is consistent, machine-readable, and disclosure-ready.
A trainee in the trustee role assembles practice tranches against policy. The shared standard makes the eligibility check clean; the listing document is generated from the simulated pool, not re-typed.
Daily simulated pool performance, investor disclosures, and yield curves update on the training board. The buy-side trainee learns to read credit the way it reads equity.
“Investors stayed away from SME credit because the data was annual and anecdotal. LitFin trains officers to a standard that makes disclosure daily and auditable. That is what a market needs.”
Illustrative quote. Not a customer statement.
One conversation. We wire the trained-officer, trustee, and registrar roles onto a single simulated pool view, then walk your listing committee through the training scenario.
What LitFin is, concretely
Not a chat bolted onto a spreadsheet. Mr. Mwikila reads the file, rebuilds the cash flow behind thin records, reads collateral at what it would realise here, raises the questions a credit committee will raise, and writes the reasoning out step by step. He supports the credit decision. Your institution still makes it.
Deepest on credit appraisal: the 5Cs, the cash flow behind the numbers, collateral at local realisation, conditions, and the questions a credit committee will ask. It carries risk, compliance, FX and treasury, capital markets, investing, AML and financial crime, collections and recoveries, ESG, and payments in the same mind, because the same file raises all of them, and it shows the working at every step.
Connects every simulated case, officer, and document so trainees see how real portfolios are reasoned about, with grounded answers in natural language and citations they can interrogate.
Surfaces default-rate, approval, and portfolio-risk trends on simulated training data, with the drivers behind each prediction laid out plainly. Officers learn to read the signals before they face a live book.
Defense in depth: your data is walled off per organisation, encrypted at every step, and every sensitive action is logged to a record that cannot be quietly changed.
Native Swahili and English speech, both ways, with high accuracy. Works on feature phones via staged call and USSD, so no team is left out.
Officers practise against the systems an institution actually runs: core-banking, mobile-money rails, payment processors, credit-reference bureaux, and central-bank reporting, all exercised against simulated data.