Today LitFin Intelligence appraises agricultural credit files for lenders in Tanzania. The rest is still being built.
To read an agricultural credit file well, a lender needs farming and credit-committee experience in the same person. Not many officers have both, and a lender cannot afford to send every file to the few who do.
Guarantee schemes, group lending and warehouse receipts all exist to make lending to farmers less risky. Each was set up on its own, and each sees only its own part of a farmer's loan. We are building a way to bring those parts into one file. We started with the lender, because that is where the financing is.
The way we read a file comes from our two mentors. Anderson spent his career in banking and credit, and taught us to ask whether the borrower can repay. From Aloys, who has spent his working life in agricultural production, we learnt to ask whether the field or the poultry house being financed will produce. An agricultural file needs both questions answered.
Where the team is based.
George and David build the service. Anderson and Aloys bring the credit and farming experience it is built on.
Both have spent their working lives in Tanzania's agriculture: Anderson financing it as a banker, Aloys as a producer. They are also investors in the company.

Co-founder and Chief Executive Officer
George is LitFin Intelligence's technical founder and built the platform end to end. Before LitFin Intelligence he spent more than seven years in engineering at Finimize in the United Kingdom.
He holds a Bachelor of Finance from Minerva University and is based in Dar es Salaam.

Co-founder and Chief Operating Officer
David leads research, data and field operations at LitFin Intelligence. His background is in data analysis and business analytics, and he spoke at Fintech Festival Tanzania 2025 on data privacy.
He holds a BSc (Hons) in Information Systems from Sunway University, Malaysia, and is based in Dar es Salaam.

Mentor and Investor
Anderson spent 29 years in banking at one of Tanzania's largest banks, 17 of them as Director of Credit and Secretary of the Board Credit Committee. He coordinated a regional programme de-risking agricultural finance for smallholder farmers in four African countries.
He studied agriculture at Sokoine University of Agriculture and holds an MBA in Finance.
Mentor and Investor
Aloys has worked in agricultural production for four decades. He has helped large companies across industries, especially poultry, establish their production lines in Tanzania, and has trained farmers from first planting to commercial scale.
He studied agriculture at Sokoine University of Agriculture.
Credit appraisal, underwriting and risk analysis on agricultural credit files, for lenders.
Mwikila, our AI Senior Agriculture & Finance Consultant, reads the whole file, including pages photographed on a phone, asks the questions the file raises and writes the appraisal a credit committee reads. Any page he could not read is listed.
We do both on the same file, and each figure shows where it came from.
Tested on agricultural files with officers from a major agricultural lender that plays a large de-risking role for agricultural loans in Tanzania. We do not name the lender.
Each organisation's data is kept separate from every other's and encrypted, and we handle it under Tanzania's data protection law. Our data protection page says where it is processed.
We want a lender to see everyone a farmer's loan relies on, and what was checked about each of them. None of this is live yet; we are building it.
One appraisal across a value chain: the farmers, input supplier, buyer and lender.
Help for farmers who want to form a group a lender can finance, while the lender still sees each member.
Village-based agronomists will advise farmers and check the plot, the inputs and what is delivered, working with Mwikila.
Mwikila for the farmer, the buyer, the insurer and the guarantor too, each in their own language and about their own work.
Following a loan from planting to harvest, so a problem shows up while there is still time to act.
Other East African countries would follow Tanzania, with the work fitted to each country's rules and farming. For now this is a plan.
If you lend to farmers, run a programme for them or build technology, and you want to help join up the tools Tanzania already has, write to us.
Four things we hold to, whatever we build.
Value chain finance and group finance were designed with smallholder farmers in mind. We are working to get those loans to them.
Mwikila reads the file and explains each of his conclusions. The decision to lend is made by the lender's officers and its credit committee.
We hold other people's financial records, so protecting them was part of the plan from the start.
We start from how lending is done in Tanzania, by its own rules, for its own crops and seasons.
If you lend to farmers, insure or guarantee their loans, buy their crops or advise them in the field, we will tell you what we can do for you today.