AI development services

AI development services

Senior nearshore AI engineers who take your AI from idea to production, generative AI, machine learning, agents, and automation, delivered in your time zone. Built for production, not just demos.

Microsoft
Panasonic
Toyota
Applebee's
KPMG
  • 15+
    years delivering software
  • 100+
    senior engineers across LATAM
  • 6-8h
    daily overlap with US teams
  • 6+
    Fortune 500 & global brands trust us
Who We Are

Senior AI engineers, built into your team

FusionHit gives you senior nearshore AI engineers who join your team and own the build, from the first use case to a system running in production.

As your AI development company, we bring the delivery muscle, in your time zone, without US hiring cost or lead time.

WHAT WE DELIVER

AI development services we deliver

From strategy to production, across the AI capabilities that move your business.

Generative AI

LLM-powered apps, copilots, and content generation, built with RAG so answers stay grounded in your own data.

AI chatbots & conversational AI

Chatbots and virtual assistants that handle real customer and internal workflows, in your systems.

AI agents

Agentic systems that plan and act across your tools to automate multi-step work on their own.

Machine learning

Predictive models, forecasting, and recommendation engines trained on your data.

AI integration

Wire AI and LLMs into your existing products and systems, cleanly and securely.

AI automation

Automate document, data, and decision workflows to cut manual effort and cost.

AI consulting

Roadmaps, use-case validation, and architecture from engineers who ship AI in production.

Why FusionHit

Why US companies choose FusionHit for AI development

  • Senior AI engineering talent

    Nearshore engineers who have shipped generative AI, ML, and automation into live products, not slide decks.


  • Real-time collaboration

    You work with your AI engineers live during your hours, in Slack, standups, and demos, not through async handoffs.


  • Flexible engagement

    Ramp your AI team up for a build and down for maintenance, without hiring overhead.


  • Integrated partnership

    Your AI engineers sit inside your team, tools, and codebase, accountable for the outcome.

FusionHit nearshore AI engineers working with a US client team
Compare Your Options

Nearshore AI teams vs the alternatives

If you're comparing ways to build AI, here's the honest picture.

FusionHit (LATAM)
Offshore (Asia)
US AI agency
In-house hire
Time zone overlap

6-8 hrs real-time

0-2 hrs

Full

Full

Cost vs US rates

30-50% less

50-70% less

Full rate

Full rate + overhead

Time to a working team

Days to weeks

Weeks

Weeks

3-6 months to hire

Senior AI engineers

You interview and approve

Often rotated

Agency-assigned

Scarce, hard to hire

Production AI track record

Shipped and monitored

Varies

Varies

Depends on the hire

Scale up or down

Flexible by sprint

Contractual

Contractual

Hiring and layoffs

Have an AI use case in mind?

Talk to an expert. 30 minutes, no commitment.

Talk to an Expert
TECHNOLOGY EXPERTISE

The AI technologies we build with

The models, frameworks, and platforms behind production-grade AI.

LLMs & Frameworks

The models and orchestration layer behind copilots, agents, and RAG.

Machine Learning

The frameworks we use to train, tune, and serve predictive models.

Cloud AI

Enterprise-grade model hosting and MLOps inside your own cloud account.

Data & Vector

Storage and retrieval that ground AI in your own, current data.

HOW WE ENGAGE

Engage an AI team the way that fits

Bring on senior AI engineers as an add-on to your team, a full dedicated team, or an end-to-end build. Choose what fits your stage.

Add AI engineers to your team

Senior nearshore AI engineers join your existing team, under your direction, in days, not months.

Embed a dedicated AI team

A stable, cohesive AI team that works only on your product as an extension of yours. You set priorities and roadmap, the team self-organizes sprint after sprint.

Hand us the full build

Hand us the roadmap and we deliver end to end, under our direction: discovery, data, build, deployment, and monitoring. You get an outcome, not a team to manage.

INDUSTRIES

AI built for your industry

We build AI for the regulations, data, and workflows of your sector.

Fintech

AI for payments, lending, risk, and compliance under real transaction volume.

Healthcare

HIPAA-ready AI across clinical, claims, and patient data workflows.

Software & SaaS

AI features embedded into your product, data pipeline, and release cycle.

Retail

AI across commerce, demand forecasting, and customer data.

Transportation & logistics

AI for routing, tracking, forecasting, and warehouse operations.

Manufacturing

AI for predictive maintenance, quality inspection, and production planning.

FAQ

FAQs about our AI development services

01

How much do AI development services cost?

"AI" ranges from a single integration to a full platform, so we scope the use case before quoting. You get a line-item estimate on the first call, and senior LATAM rates run 30-50% below US equivalents, with no recruiting fees or hidden overhead.
02

How long until our AI is in production?

It depends on data readiness and scope, but we work in short sprints toward a working system, not a year-long research project. Many engagements reach a usable first version in weeks, then improve from there against agreed metrics.
03

Do you actually ship to production, or stop at a demo?

We build for deployment from day one. A proof of concept is a fine first step, but we design it to become a live, monitored system, not a demo that dies in a slide deck.
04

What makes your team qualified for AI specifically?

Our engineers have generative AI, ML, and automation running in real products today, not just prototypes. You interview and approve each one, so you can judge the AI depth yourself before they start.
05

How do you protect our data, IP, and models?

Your data stays yours and trains only your models. Every engagement includes NDAs, full IP assignment, and role-based access to data and environments, the protections a US vendor gives, from a nearshore team.
06

Does our data need to be in perfect shape first?

No. We start by assessing what you have, and preparing data is part of the work. If it is thin or messy, we tell you honestly and plan around it, including third-party or synthetic data where it fits.
07

Which AI models and frameworks do you work with?

The mainstream, production-proven ones: OpenAI, Anthropic, and open models via LangChain and LlamaIndex, TensorFlow and PyTorch for machine learning, and Azure AI, AWS, or Google Cloud for deployment. We match the tools to your use case and budget.
08

Can you integrate AI into our existing product and stack?

Yes. We wire AI and LLMs into your current product, APIs, and data, and work inside your tools as part of your team.
09

How do you keep AI accurate and safe over time?

We monitor performance in production, set up evaluation and guardrails against bad or unsafe outputs, and retrain as your data shifts. Quality is tracked sprint by sprint, not assumed after launch.

Ready to put AI into production?

Tell us what you're building, and we'll show you the AI team that can build it.

Trusted by leading teams

  • Microsoft
  • Toyota
  • Panasonic
  • KPMG

Rated by our clients


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