Real deployments. Measurable results.

Challenge

A leading global fintech was processing thousands of new customer applications per day. Manual KYC document review was taking 4 to 6 days per application, creating significant drop-off in the onboarding funnel and exposing the business to compliance risk during peak periods.

Solution

LeanGoogs AI deployed the Lean Data Engine to build a specialised training dataset for financial identity documents, then trained a custom document AI model tailored to the client's specific document types, jurisdictions, and fraud patterns. The model was integrated directly into the client's onboarding pipeline via API.

Challenge

A major PropTech platform was suffering multi-million dollar losses annually from title deed fraud. Fraudulent property documents were slipping through their listing and transaction review process, resulting in legal disputes, financial losses, and reputational damage.

Solution

PlotYGuard, LeanGoogs AI's property document verification product, was deployed across the platform's full document intake pipeline. The system cross-references submitted documents against government registries, detects tampering signatures, and flags high-risk transactions for human review — all in real time.

Challenge

A national government land registry was operating on entirely paper-based records, with high rates of fraudulent land claims, slow dispute resolution, and no centralised digital system. Fraud was undermining citizen trust and blocking economic development in the region.

Solution

LeanGoogs AI deployed a combination of Lean Donovan — the company's government AI platform — and PlotYGuard to digitise the registry's historical paper records, train fraud detection models on local document formats, and build a real-time verification layer for new land transactions. The programme was delivered as a sovereign AI deployment, with all data processed in-country.