Daevo partners with technology leaders across the United States, Canada and Mexico to modernize data platforms, build AI-driven products, and scale engineering teams with the right mix of expertise — without the friction of offshore delivery.
Trusted by technology and data teams across North America
You've probably worked with a "nearshore partner" before and ended up talking to a rotating cast of unfamiliar faces. That's not how Daevo works. Behind every engagement is a stable, real team of skilled, English-speaking consultants who stay with your project from kickoff to hypercare — the same people you meet on your first call are the ones showing up to your stand-ups, solving your production issues, and celebrating your launches, months and years later.
From the discovery call onward, you talk directly with the consultants and engineers who will actually build your solution — not an account manager relaying requirements back and forth. That means fewer translation errors, faster decisions, and a real technical conversation from day one about your architecture, your constraints and your goals.
Our nearshore team operates during US, Canada and Mexico business hours, joining your daily stand-ups, sprint planning and retros live — not asynchronously through a ticketing queue. Over time, that shared rhythm builds the kind of trust and shorthand you'd expect from an in-house teammate, not a distant vendor.
Every consultant we place goes through a rigorous, multi-stage vetting process led by our own technical leadership — evaluating hands-on ability, communication skills and ownership mentality, not just resume keywords. So you always know exactly who is behind the work, and exactly what level of expertise you're getting for the challenge at hand.
Every engagement starts with a business outcome — not a technology stack chosen for its own sake. These are the real, recurring challenges that lead technology and business executives to bring Daevo in as a partner.
Move off legacy on-premises warehouses, brittle overnight batch jobs and undocumented ETL scripts into governed, cloud-native platforms — built on tools like Snowflake, Databricks and dbt — that scale with your data volume instead of breaking under it.
Add vetted nearshore talent, from individual specialists to full dedicated pods, in weeks instead of the months a traditional hiring cycle takes — without compromising on code quality, security practices or day-to-day communication.
Move beyond isolated proof-of-concepts and into production-grade AI systems — from RAG-based knowledge assistants to predictive models and autonomous agents — that are monitored, secure and generating measurable business value.
Replace manual, error-prone processes like spreadsheet reconciliation, manual data entry and repetitive approval chains with intelligent workflows, RPA and AI agents that work continuously and consistently, freeing your team for higher-value work.
Ship modern, data-driven web and mobile products — from internal tools to customer-facing SaaS platforms — engineered with clean architecture and built to evolve as your product and user base grow.
Replace static, outdated spreadsheets and monthly reports with governed, real-time dashboards that give executives and analysts a single source of truth they can actually trust when making decisions.
Six areas of deep expertise, engineered to work together as one connected technology strategy.
We design and build the pipelines and cloud data platforms that everything else depends on — ingesting data from your CRMs, ERPs and product systems, modeling it for reliability, and orchestrating it so it lands on time, every time. The result is a single, trusted source of truth your teams can build on instead of firefighting broken reports.
Raw data only creates value once people can act on it. We build governed semantic layers and self-service dashboards that let business users explore metrics safely, so leadership gets consistent answers and analysts spend their time on insight instead of chasing numbers that don't match between reports.
We take AI from proof-of-concept to production — building predictive models, recommendation engines and retrieval-augmented generation (RAG) systems on top of your own data, with the MLOps discipline needed to monitor performance and retrain safely so the models keep earning their ROI after launch.
We identify the repetitive, rules-based work eating up your team's time — approvals, reconciliations, data entry, back-office handoffs — and replace it with AI agents, RPA bots and orchestrated workflows that run continuously in the background, so your people can focus on the work that actually requires judgment.
From customer-facing products to internal tools, we design and ship modern, scalable applications with clean architecture, automated testing and CI/CD from day one — built the way you'd build if you had unlimited senior engineering time, so they're easy to extend long after we hand them over.
When you need to scale delivery, not just headcount, we embed dedicated engineers directly into your team — sharing your time zone, your sprint rituals and your standards — so they ramp up like teammates, not like an outsourced vendor working from a backlog handed over the wall.
These are just a few of the technologies we work with — explore our full technology ecosystem
Choosing a technology partner is a trust decision as much as a technical one. Here are the concrete advantages that make Daevo a low-risk, high-leverage way to extend your technology organization — not just another vendor on a spreadsheet.
"We don't compete on being the cheapest option — we compete on being the partner you can actually trust with what matters."
Over 15 years delivering data, analytics, AI and software engineering programs for mid-market and enterprise clients across North America — long enough to have seen most failure modes before, and to know how to avoid them on your project.
Unlike offshore teams working while you sleep, our nearshore model from Mexico means real-time collaboration during your business hours across US, Canadian and Mexican time zones — no overnight delays waiting for answers, no missed standups, no 10-hour round trip on a simple Slack question.
From Core to Advanced to Principal, every engineer we place goes through the same rigorous, multi-stage vetting process led by our own technical leadership — evaluated on hands-on skill, ownership and communication, not just years on a resume. You get the right level of expertise for the job, always personally vouched for.
From a single specialist plugged into your team to a fully dedicated, multi-disciplinary pod running independently — we structure the engagement around how you actually need to work, and can evolve the model as your needs change without starting over.
Every consultant communicates fluently in English, in writing and live in meetings, with your engineers, product managers and executive stakeholders alike — so nothing gets lost in translation on a technical requirement or a business priority.
Proven frameworks for governance, security, code review, CI/CD and compliance-aware delivery, refined across engagements with Fortune 500 retailers, regulated financial institutions and global technology companies — so enterprise scale isn't new territory for us.
Add vetted engineers in weeks rather than the months a traditional hiring, onboarding and ramp-up cycle usually takes — pre-matched to your specific stack, coding standards and product roadmap so they contribute meaningfully from week one.
Deep, hands-on expertise in the technologies shaping the next decade of business — from modern cloud data platforms to LLM-powered applications — not generalist consultants learning on your dime.
Real feedback from the executives and engineers we work with every day.
With Daevo we got a crazy-smart team with specialized skills, particularly around SDK development.
Daevo is a trusted development partner helping drive innovation for our customers and supporting our vision for providing world-class analytics products to the retail industry.
More than a vendor, they've become a true ally — always proactive, proposing new ideas while helping implement them, constantly optimizing resources and reducing costs.
A closer look at how we've helped organizations modernize their data, analytics and software platforms.
These engagements represent the types of initiatives Daevo delivers for organizations across North America through a flexible nearshore model. While client confidentiality limits disclosing specific names in some cases, the examples reflect real-world project patterns and the breadth of our experience across Data Engineering, Analytics, Artificial Intelligence, Automation, and Modern Software Development.
A dedicated team works differently than a single augmented engineer. What never changes is how we show up for you.
Before recommending anything, we take time to understand your business, your systems, and what success actually looks like to you.
We shape the engagement — one specialist, a dedicated pod, a fixed-scope project, or ongoing management — around how you need to work, not a one-size-fits-all process.
From day one, our team adopts your tools, your ceremonies, and your communication rhythm — becoming a natural extension of how you already operate.
As trust builds and priorities shift, we scale the relationship with you — adding capacity, shifting focus, or taking on new challenges together.
This is how we partner — whether you're augmenting one role or running a multi-year program with us.
We work with the platforms enterprise teams already trust. Search for a specific tool below, or browse by category to explore the full ecosystem.
Hmm, that one's not on our radar yet.
Either it's brand new, wildly obscure, or a typo (no judgment). Try another keyword — or tell us about it directly, our consultants pick up new skills fast.
We bring context, not just code — shaped by years of working inside these industries.
Retail runs on razor-thin margins and rising customer expectations. We help retailers connect POS, e-commerce, inventory and loyalty data into a single, governed platform — usually on Snowflake or Databricks — so merchandising, marketing and operations teams finally work from the same numbers, and can react to demand shifts in days rather than months.
Healthcare data is uniquely sensitive and uniquely fragmented — spread across EHRs, claims systems and departmental spreadsheets. We build secure, HIPAA-aware data platforms and automation that unify this data safely, giving clinical and administrative teams a trustworthy view without ever compromising patient privacy or audit readiness.
In financial services, speed and scrutiny have to coexist — every model and dashboard eventually faces an auditor. We design fraud-detection systems, regulatory reporting pipelines and risk models on modern, well-governed data architecture, so your teams can move fast without ever losing the audit trail.
Underwriting and claims are still, in many carriers, slow and paper-heavy processes hiding inside modern software. We bring AI-assisted underwriting, automated claims workflows and risk analytics that shrink time-to-decision for customers while giving actuarial and claims teams sharper, more current risk signals.
Manufacturers generate enormous volumes of plant-floor data through IoT sensors and equipment logs that rarely make it to the people who could act on it. We connect that data — from PLCs and SCADA systems all the way to executive dashboards — enabling predictive maintenance and giving plant managers and executives the same real-time picture of operations.
In logistics, the margin between profit and loss often comes down to a handful of routing and forecasting decisions made every day. We build demand-forecasting models, route-optimization engines and real-time tracking systems on modern data pipelines and AI, so dispatch and planning teams can make those decisions with real data instead of gut feel.
Universities and school systems often run on a patchwork of legacy SIS, LMS and finance systems that make even simple institutional questions hard to answer quickly. We build self-service analytics ecosystems that give administrators, faculty and boards one trusted, governed view of enrollment, retention and institutional performance.
Technology companies move fast and expect their partners to keep up. We embed directly into product and engineering teams to scale SaaS platforms, build internal tooling, and ship AI-powered features — from recommendation engines to LLM-based assistants — with the same engineering discipline your own team holds itself to.
Every organization is different — our engagement models flex to match your priorities.
A cross-functional pod fully embedded in your roadmap and rituals.
Add individual senior engineers directly into your existing team.
A defined scope, timeline and outcome, delivered end-to-end by Daevo.
Ongoing ownership of a platform, product or data operation.
Not every challenge needs the same level of seniority — and not every budget should have to pay for it. Every engagement is staffed with the right mix of these three levels.
A recent graduate with strong theoretical knowledge and growing hands-on experience, able to execute their work independently, correctly and with high quality under the guidance of their manager.
An experienced resource with a proven track record of solving challenging problems, communicating effectively, and holding a strong understanding across different technologies.
A resource who provides guidance, defines project strategy, executes the most complex projects, and solves the hardest challenges thanks to deep, specific expertise.
Most dedicated teams and project deliveries blend all three levels — Principal talent sets direction, Advanced talent drives execution, and Core talent scales delivery, all under one predictable investment.
Beyond consulting, we build our own technology to solve problems we understand deeply.
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"I started Daevo with a simple belief: companies deserve a technology partner that combines enterprise-grade engineering with the agility and trust of a close relationship. Our mission is to help organizations build intelligent, scalable technology solutions through exceptional nearshore talent — and to be the partner our clients call first when they're ready to build what's next."
Connect on LinkedInNearshore doesn't mean disconnected, and remote doesn't mean isolated. Daevo maintains physical offices in Mexico City and Querétaro precisely because we believe in-person collaboration still matters — our consultants share real relationships, real workspaces, and a common standard for how we show up, both for each other and for the clients we serve.
Whether a consultant is working from our Mexico City office, our Querétaro hub, or embedded remotely alongside your team, everyone at Daevo is held to the same values, engineering standards and sense of ownership — so the experience of working with us stays consistent no matter who you're working with.
Dedicated collaboration rooms, regular in-person work sessions and cross-project knowledge-sharing give our teams room to whiteboard architecture decisions, debate trade-offs, and pressure-test ideas together — the same way the strongest in-house engineering teams do, instead of everyone working in a silo.
From a successful production launch to a hard bug finally tracked down, we treat both the big project milestones and the everyday wins as worth celebrating together — because a team that recognizes its own progress stays engaged, motivated and invested in your outcomes for the long run.
Answers to the questions we hear most from technology leaders evaluating a nearshore partner.
Most engagements begin within 2–3 weeks of an approved scope. For staff augmentation with a strong technology match, we can often move even faster.
Yes. Many clients start with a single senior engineer embedded in their team and expand as trust and needs grow.
We do, particularly Series A+ startups that need enterprise-grade engineering discipline without a full internal team.
We start with a discovery conversation to understand your goals, then recommend a model — dedicated team, staff augmentation, project delivery, or managed services — that fits your stage and priorities.
We have deep experience across retail, healthcare, financial services, insurance, manufacturing, logistics, education and technology.
Our core stack spans cloud platforms (AWS, Azure, GCP), data platforms (Snowflake, Databricks), AI (OpenAI, LLMs), analytics (Power BI, Tableau, Looker) and modern development frameworks (React, Next.js, Node.js, FastAPI).
Tell us about your goals in a short conversation. No pressure, no generic pitch — just a real discussion about how we can help.