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AI Development Services Built for Production

We bring the same precision and craftsmanship behind our web, mobile, and design work to AI-powered solutions

From conversational AI and intelligent automation to structured AI pipelines and LLM-powered features, we build AI that connects to your real systems and works the way your product needs it to.

Build with AI
Illustration of AI development services: structured pipelines, system integration, and intelligent automation

AI solutions built with production-grade craftsmanship

Your product deserves AI that works as well as the rest of your software. We take a holistic approach: blending usability, performance, and engineering discipline so AI becomes a practical tool embedded the right way, not a bolted-on experiment. The same team behind our web and mobile development now brings that craft to AI.

We partner closely with your team to design and build AI features that are production-ready and responsible, whether you're adding intelligence to an existing platform or building an AI-powered product from scratch.

What sets our AI development services apart

We bring production engineering discipline to every AI feature we build. Designed for real users, real integrations, and real business impact.

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Context-aware AI pipelines

We build multi-step AI pipelines that feed your business context into every model call. From enriching prompts with user and domain data to validating outputs against real system state, the AI understands your product, not just the input.

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Structured generation endpoints

We design dedicated AI generation endpoints with typed contracts, structured error handling, and output schemas. Each endpoint does one thing well — making AI behavior predictable and the system easy to test and extend.

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Conversational AI with real integrations

We've built AI-driven conversation flows that connect to CRMs, scheduling platforms, and messaging providers — handling full user journeys, not just chat. The AI reads real data and takes real actions within your existing systems.

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Safety and human oversight built in

We treat guardrails as part of the architecture. Human escalation paths, message limits, circuit breakers, and output validation are designed in from the start — so the system stays predictable and your team stays in control.

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Full-stack AI delivery

We cover the full surface: frontend interfaces, AI backend services, serverless infrastructure, and production monitoring. One team handling the whole stack means fewer gaps and faster iteration.

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RAG and knowledge enrichment

We've built retrieval-augmented generation pipelines that ground AI responses in your own knowledge base — with conversation history, token tracking, and embeddings-based document ingestion so answers stay accurate and auditable.

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AI agent orchestration

We build systems where AI models call typed business functions based on what the user needs — no hard-coded routing. Business logic is exposed as structured capabilities the model invokes, making the system easier to extend as requirements evolve.

Why choose Seta Workshop for AI?

  • Shipped AI in production: We've built AI-powered products with real user bases: conversational bots handling scheduling workflows, structured generation features inside SaaS platforms, and RAG chatbots deployed on enterprise infrastructure.
  • One team, full stack: Design, frontend, AI backend, infrastructure, and monitoring all handled by the same team. Fewer handoffs mean faster iteration and a more cohesive product.
  • Nearshore collaboration: Based in Uruguay with time zone overlap with the US. You get the responsiveness and communication quality of an in-house team with the flexibility of a dedicated partner.
  • Long-term partnership mindset: AI features need ongoing tuning. We stay involved post-launch for prompt refinement, model updates, and cost optimization so your AI evolves alongside your product.

How we build AI for your product

  1. 1.

    Discovery & strategy

    We start by understanding your business goals, users, and existing systems. Together we identify where AI fits and what it needs to connect to before writing a line of code.

  2. 2.

    Architecture & design

    We design the AI pipeline, data flows, and system integrations. We decide on models, infrastructure, and contracts upfront so there are no surprises mid-build.

  3. 3.

    Build & iterate

    We develop in sprints with continuous demos. You see working AI features regularly, give feedback, and shape the product as it evolves.

  4. 4.

    Deploy & monitor

    We ship to production with monitoring, error tracking, and safety guardrails in place. Observability is part of the build, not an afterthought.

  5. 5.

    Optimize & support

    Post-launch, we refine prompts, tune model performance, optimize costs, and adapt to new model releases. We stay involved so your AI evolves alongside your product.

Hear directly from our customers

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Loren Stewart CTO

"Their team has demonstrated their ability to consistently deliver, and the quality of their output is very, very high. We arrived at our first product to market within three months. Their work has been very solid. They're amazingly methodical and able to think about the bigger scope of problems. The quality of their code is much higher than I would've otherwise expected from an outsourced vendor."

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Leonardo Garcia CTO

"Great code quality, they really think in performance, speed, and user experience. Most companies just complete tasks leaving the feature useful for demo or low-stakes use, in Seta Workshop they approach every problem from every angle to respond to every possible scenario."

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Leonardo Angeloro CPO

"They are very specialized in a very specific field, high-end front-end technologies. This was a long-term project which involved several years of development with biweekly sprints and deliverables. Their level of compromise was notable and they always showed interest in delivering a high-quality product. Our users are pretty happy with the tool and value a lot the technology Seta developed for us."

Featured case studies

Frequently asked questions about AI development

Can you integrate AI into our existing product?
Yes. We connect AI capabilities to your existing backends, CRMs, APIs, and business logic without requiring a full rewrite. Our goal is to make AI feel like a natural extension of your product, not a bolt-on.
How is your approach different from building a ChatGPT wrapper?
We design structured AI pipelines with typed contracts, domain-specific context enrichment, and output validation. The AI is wired into your real systems and data — not just a chat interface in front of a generic model.
What technologies do you work with for AI development?
We've worked with OpenAI, Azure OpenAI, Claude via AWS Bedrock, and Semantic Kernel, deployed on serverless and containerized infrastructure. We choose the stack that fits your project and existing systems.
How much does an AI development project cost?
It depends on scope, complexity, and integration needs. We scope every project individually after a discovery phase, so you get a clear estimate before committing. Reach out and we can discuss your specific situation.
Where is your team based and what are your working hours?
We are based in Uruguay with time zone overlap with the US. This means real-time collaboration during your business hours and the communication quality of an in-house team.

Let's build something
together!