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 approaches AI product delivery
Not presented as universally better than BairesDev. The comparison focuses on delivery shape, named artifacts, operating controls, and the evidence a buyer should verify.
We ship products, not engineers
A Discovery Sprint produces a scoped recommendation. A Build Sprint targets an accepted feature. An Automation Rollout targets a bounded workflow. Each scope names its start, decision gates, evidence, and handover requirements.
AI-specific delivery, not general engineering
The delivery model is focused on AI work. Evaluation methodology, model and provider selection, prompt or retrieval architecture, latency budgeting, and human review are included where the system scope requires them.
Production-grade by default
The scope defines the monitoring, fallback paths, decision logs, evaluation reports, and risk artifacts required before release. Production acceptance is a gate to meet, not a result assumed at the start.
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.
Clarvia vs BairesDev, category by category
Each row states both positions and then what it implies, including the cases where BairesDev is the better answer.
AI consultancy with the factory already built. We take ownership of your AI system from concept to deployment. You get shipped software and measurable outcomes, not a team roster.
Nearshore software-development and staff-augmentation firm offering individual specialists and dedicated teams across a broad range of technology work.
Core Offering
Complete AI product delivery. We handle research, design, engineering, and deployment as a single team working toward your product goals. The deliverable is a working product.
Nearshore staff augmentation at scale. BairesDev places dedicated developers, designers, or entire teams into your organisation. They handle recruiting, vetting, and HR. You handle the product.
AI Specialisation
Exclusively focused on AI products. Every engagement involves AI architecture, model selection, data pipelines, or ML-driven features. Our team has deep domain knowledge across LLMs, computer vision, NLP, and AI automation.
Full-stack technology coverage. BairesDev staffs across web, mobile, cloud, DevOps, QA, data science, and AI/ML. AI is one of many service lines. Their AI talent varies by engagement since engineers come from a broad talent pool.
Product Ownership
We own the product delivery. That means we make architecture recommendations, challenge requirements when they do not make sense, and proactively solve problems. You are not managing a team; you are reviewing progress toward a shared goal.
You own the product entirely. BairesDev provides the people, but product vision, technical decisions, and day-to-day management sit with you. This works well if you have experienced product leadership. It does not work if you are looking for someone to own outcomes.
Scale and Track Record
Focused AI delivery model organised around one scoped product problem, its evaluation criteria, and the artifacts required for handover.
Broad nearshore delivery model designed to supply specialists or dedicated teams across multiple disciplines and workstreams.
Pricing and Value
Project-based pricing with clear milestones and deliverables. You know the cost before work starts. No surprises. The price reflects product ownership, not just engineering hours.
Staff-augmentation cost is usually structured around people and time. A fair total includes internal management, onboarding, evaluation, and delivery overhead alongside the quoted team cost.
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
Common questions
Is this just nearshore staffing with AI branding?
No. This is a project-delivery model rather than per-engineer staffing. Each engagement is scoped around named deliverables, evidence, decision gates, and handover responsibilities. The same distinction applies to talent marketplaces, which we cover on our Turing alternative.
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. The models price different responsibilities, so a per-hour conclusion is not reliable. Compare both against the same scope, internal management effort, acceptance evidence, rework, and operating requirements. The AI product cost guide breaks those line items down.
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.
How does provider scale affect the fit?
Scale matters when you need many disciplines or concurrent workstreams. A focused team can be a better fit when one AI outcome, its evidence, and its handover are the scope. Compare the named delivery team and responsibilities, not company headcount alone.
How should I compare provider quality?
Do not infer quality from company size or a logo list alone. Ask for relevant, verifiable evidence; meet the proposed delivery team; and compare the evaluation plan, acceptance criteria, governance, and handover for your scope.
Can I start with BairesDev for staffing and switch to Clarvia for product work?
The models can be combined. A staff-augmentation team can provide capacity while a scoped delivery partner owns a defined product workstream. Responsibilities, technical authority, acceptance, and handover need to be explicit so the teams do not duplicate or block one another.
Is Clarvia more expensive than BairesDev?
The models price different responsibilities, so a per-hour conclusion is not reliable. Compare both against the same scope, management effort, acceptance evidence, rework, and operating requirements. We do not claim one model is universally cheaper.
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.