The best way to tell if something makes a real difference is to measure it in the wild. In the absence of real data we're only dealing with assumptions. We prefer real data.
Top talent delivers. Investing in a developer experience that brings focus, flow, and joy to the day-to-day work of building products makes a positive business impact.
We use modern tools and technology not because it is cool, but because it allows us to make a customer-impact quickly and effectively.
We use cloud-native, open source tools. But we also have our proprietary secret sauce.
SLQ leverages alternative data sources (smartphone metadata, social media footprint, education, earnings and career history) to assess the creditworthiness of everyday consumers seeking access to affordable credit. It is a scalable, industry-first credit-led scoring system based on artificial intelligence (AI) and machine learning (ML).
GM assesses the propensity to default at the loan level to accelerate the loan approval process. Our AI engine ensures we evaluate each applicant on the basis of a holistic set of attributes, as opposed to merely financial history, to give credit-worthy people - especially those who have so far been denied access to credit - a better chance of accessing capital.
At TSLC we are building a modular, scalable, global-ready FinTech platform. Traditional banking technology is expensive, slow, cumbersome, and frustrating to work with.
We use best-of-breed open source, cloud-native software where possible. We write less code and don't pay license fees, saving money for our partners and customers.
Our systems are continusly learning from our years of real-world transaction data.
Each market we enter has unique regulatory requirements and local banking networks. We've designed our platform to be portable to all markets we enter by supporting multiple partner and bank integrations.
We run a modern tech stack using open source, cloud-native software.
