What pushes teams to consider an alternative to BairesDev
Honest reasons teams shopping in this category move on. None of these mean BairesDev does bad work, just that the fit is wrong for the project.
You need a working AI product, not engineers to direct
BairesDev sells access to vetted nearshore engineers. That is the right model when you have product leadership, technical management, and an existing engineering culture. It is the wrong model when you need someone to own the outcome end-to-end and ship a working AI feature.
You do not have an internal AI delivery playbook
AI products fail differently from traditional software. They need evaluation harnesses, prompt versioning, drift monitoring, and fallback behaviour. Hiring strong engineers does not solve this if no one on the team has shipped production AI before. You need a team that brings the playbook.
You want predictable scope, not an ongoing contractor relationship
Staff augmentation is open-ended by design. You keep paying for as long as you keep the engineers. For a focused AI build, a productized engagement with clear scope, deliverables, and exit ramps gives you control over cost and timeline that staff augmentation does not.
You want UK and US working hours and contract terms
BairesDev's model is LatAm-based nearshore. That works well for many teams. If you want a partner whose default working hours, contract law, and data-handling defaults are UK or US, the engagement model looks different, and the time zone arithmetic stops biting.
How Clarvia Dev approaches AI product delivery
Not better than BairesDev. Different. Built for AI-first product delivery in weeks, with named artifacts and transparent partnership.
We ship products, not engineers
A Discovery Sprint produces a scoped AI build. A Build Sprint ships a working feature. An Automation Rollout deploys an AI workflow. Every engagement has a defined start, defined end, and a measurable thing that exists at the end of it.
AI-specific delivery, not general engineering
Every project we take on is AI-led. That means evaluation methodology, model and provider selection, prompt and retrieval architecture, latency budgeting, and human-in-the-loop patterns are part of how we work, not skills we have to recruit for.
Production-grade by default
Monitoring, fallback paths, audit logs, eval reports, and risk registers come as standard. You are not getting a prototype that needs to be hardened later. You are getting something built to run in production from week one.
Transparent partnership, not opaque scope
Weekly demos, a shared backlog, a published delivery cadence, and clear acceptance criteria. You see what is happening every week and what will exist by the next milestone.
When BairesDev is still the right choice
You have strong technical leadership and just need to add vetted engineering capacity
You want hourly or monthly billing per engineer rather than a project engagement
Your work is general software engineering with AI as one feature, not the core of the product
You prefer a long-term staff augmentation relationship over a focused build engagement
Clarvia Dev vs BairesDev
If you want a fair, category-by-category comparison covering offering, delivery model, pricing structure, speed, and AI specialisation, read the full comparison page.
Common questions
How is this different from your Clarvia Dev vs BairesDev comparison page?
The /compare/clarvia-dev-vs-bairesdev page is a fair side-by-side. This page is for teams who have already considered BairesDev and want to understand what an AI-first product agency does that a nearshore staffing partner does not.
Is this just nearshore staffing with AI branding?
No. We are a small team of senior engineers, designers, and product leads who deliver AI products end-to-end. We do not bench engineers and rent them out. Every engagement is scoped, time-boxed, and outcome-led.
What if we want to use our own engineers alongside your team?
That works well in our Build Sprint and Automation Rollout engagements. We lead delivery and your engineers embed alongside us so AI delivery patterns transfer to your team. Audit & Hardening is the cleanest fit if your team is leading and we are reviewing.
Are you more expensive than nearshore staffing per hour?
We do not bill hourly. Our engagements are project-scoped against deliverables. Per hour, productized delivery is usually higher than nearshore rates; per business outcome shipped, it is typically lower because the delivery cadence is faster and the rework is smaller.
Do you work with US clients?
Yes. We work with mid-market product teams across both the UK and US, with contracts and data-handling defaults that match each jurisdiction.
Get a working AI product, not a roster of engineers.
Book a free 15-minute call. We will scope what shipping your AI feature actually looks like and tell you honestly whether productized delivery or staff augmentation fits your situation better.