We work primarily with fintech, proptech, and enterprise companies in the US and Canada, alongside manufacturing and logistics clients like CEMEX and Alpek. Our AI-led delivery model applies across industries, but we specialize in compliance-heavy, data-intensive products where senior engineering judgment matters more than headcount.
An AI Sprint is a fixed-price, 5-to-10-day engagement starting at $5,000 that ships a working MVP with full codebase handover — no long-term commitment. It's how most clients start with Axented: a real, working product and an honest cost estimate before committing to a larger build.
Nearshore teams in Monterrey, Guadalajara, and across LATAM work in overlapping US time zones, are bilingual, and typically cost significantly less than local senior hires without sacrificing seniority — our engineers average 8 to 15 years of experience. Axented handles recruiting, compliance, and payroll so you manage the work, not the paperwork.
Every engagement includes a defined post-launch support window covering bug fixes, performance monitoring, and minor iterations. For ongoing work, clients typically move to a Team Augmentation or maintenance retainer so the same engineers who built the system keep it running.
Every engagement starts with our 4-stage delivery process from How We Work: discovery and architecture, build with Claude Code embedded at every stage, QA and review, and launch. The scope, squad, and technical approach are shaped around your specific product and constraints, not a fixed template.
With Team Augmentation, our senior LATAM engineers join your existing team and processes under your technical direction. With a full engagement (AI Sprint, AI Solutions, or IT Consulting), Axented owns delivery end-to-end, including architecture and project management. Most clients start with one model and shift as needs change.
Our engineers follow standard security practices for the industries we serve — encrypted data handling, access controls, and code review at every stage. For clients with specific compliance requirements (SOC 2, HIPAA, financial regulations), we scope security requirements during discovery, before any code is written.
An AI Sprint ships in 5 to 10 days. Full builds run on the 4-stage process outlined in How We Work, with most MVPs reaching production in 14 months on average versus a 26-month industry average — timelines are scoped during discovery, not estimated up front.
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