Our Engineers have worked for
Our Engineers
have worked for
Companies and individuals suffer from a lack of control over their finances. Gaper is fundamentally changing how money is exchanged through the industries we work with
Our remote development teams provide tailor-made end-to-end payment solutions, securing your data and making payments hassle free
Gaper’s remote software engineers have expertise in Artificial Intelligence, allowing them to build Anti-Money Laundering solutions and identifying malicious transactions
Our dedicated remote software engineer teams introduce bespoke softwares to automate and integrate your processes, be it end-to-end solutions or integrated ERP systems.
Whether it is augmenting portfolio management softwares or increasing security for your clients, we build engineering teams that can find a solution.
Because we are not only building amazing solutions, we are also building a thriving community! Register below to be a part of our events in NY and SF or attend one of our webinars
Get expert Fintech engineers who work for you, but are on our payroll
Our teams plug into your company, and follow your workflows
Work with teams that fit not just your technical needs, but also your company culture
Want to change full-time teams to part-time? Done. You pay for the hours worked
We have helped businesses build scalable fintech solutions that allow them to process payments faster, build trust amongst employees and customers and are now working actively on integrating smart contracts in some of our client projects!
MN Written by Mustafa Najoom CEO at Gaper.io | Former CPA turned B2B growth specialist View LinkedIn Profile Key Takeaways AI-Native Services in 2026: Why Process Beats the Model AI-native services in 2026 are everywhere, but most fail the only test that matters to buyers: do two runs of the same workflow ship the same… Continue reading Why AI-Native Services Fail the Variance Test | Gaper.io
By Mustafa Najoom, CEO at Gaper · Updated June 12, 2026 · 9 min read Build vs buy an AI engineering team in 2026 comes down to two numbers: a fully loaded in-house team runs $520K to $840K in year one and can reach $1.5M once you count everything, while a partner or platform ships… Continue reading Build vs Buy an AI Engineering Team 2026
