How we used AWS to build our identity and liveness system
Building reliable identity verification and liveness detection systems is one of the biggest challenges facing modern digital platforms, especially in fintech, lending, and online onboarding. These systems must balance speed, accuracy, scalability, fraud prevention, and user experience, all while handling large volumes of sensitive customer data securely. In this article, we explore how we used Amazon Web Services (AWS) to build our identity and liveness system, covering the infrastructure choices, architecture decisions, verification workflows, and AWS services that powered the solution. From facial recognition and document verification to scalability, security, and real-time processing, this piece breaks down the practical lessons, challenges, and technical considerations involved in developing a robust digital identity system.
How we dumped SendGrid, built Mailer and solved our email delivery troubles
When we started Lendsqr, like every right thinking startup, we relied on SendGrid, which is well-regarded as one of the top email systems globally. While it served us well, as we grew, we found it didn't fully meet all our needs and those of our lenders anymore. After weighing the pros and cons, we knew it was time to find an alternative. So, we began building what the world would soon know as Mailer.
How AI Agents will empower lenders
Earlier this year, Lendsqr set out to test how well a generative AI could support its internal teams. Using OpenAI’s custom GPT, they created a Lendian GPT specifically for their Product Support team, and it worked like a charm.

