AI-native software development from a team that's been shipping products for over a decade.

Since 2015 we've designed, built, and scaled production software across the Americas.

Every engagement is AI-native: senior engineers orchestrating agents, responsible for every architectural decision.

[How we build]

Every project runs AI-native. Agents handle much of the build in parallel; senior engineers orchestrate them, own the architecture, and review every output against production standards. We size the team to your scope. The method stays the same.

[What that means]

Agents compress the cost of building. Not the cost of judgment. We don't add AI for novelty. Senior engineers decide where it earns its place.

[Services]

AI-Native Product Engineering

[Build new products, improve existing systems]

We take ownership from early scope to production and beyond: new builds, new capabilities on existing products, and the rebuild of systems that can't scale.

End-to-end delivery: Design, engineering, QA, DevOps, and architecture under one roof.
AI-native throughout: Senior engineers orchestrate agents across the build and own every architectural decision.
Team sized to your scope: From a single senior engineer to a full cross-functional pod. The method stays the same.

Extended Engineering Teams

[Senior people inside your team, with a layer that keeps them accountable]

Senior engineers, designers, and QA working inside your organization, on your tools, your rituals, and your code reviews, under your direction.

A layer above the individual: Account Manager, Delivery Manager, monthly performance scorecards, and People Care. Quality and continuity don't rest on one person.
AI-native within your governance: Profiles work with agents inside your existing review and governance standards.
Sized to what you need: Individual profiles or multi-person pods. We recruit for specific seniority, stack, or domain.

Technical Discovery & Advisory

[Decide what's worth building, before you commit to a build]

When you need clarity before a build, a second opinion, or a plan you can act on, we work as the technology partner in the room.

Product Discovery: A structured engagement of about six weeks that ends in user flows, a working prototype, architecture direction, and a plan with timeline and budget. Vendor-agnostic: you own everything.
Beyond discovery: Proofs of concept, codebase and architecture audits, technical due diligence for investors and acquirers, and AI-readiness assessments.
Judgment stays human: We use AI to move faster through specs, feasibility, and analysis. Every decision stays in human hands.

AI Systems & Agentic Infrastructure

[AI agents that do real work, wired into the systems where your work lives]

When the thing you need built is an AI capability, this is the work. Agents that qualify leads, retrieve from connected systems, execute multi-step workflows, and hand off to a person at the edges.

The integration layer: Getting an agent to production is usually an integration problem, not a model problem. We build MCP servers, connectors, and data layers that let agents reach your stack reliably.
Built to run in production: Memory, tool access, routing, and evaluations. Business logic in the server, not the model, so accuracy doesn't depend on the model getting it right every time.
Assess, build, instrument: We validate the use case, build with guardrails, then add observability and enable your team to run it with confidence.

[Ways we work together]

The four services above are what we build. How we structure the relationship depends on where you are and what makes sense: we don't start with a shape, we start with your situation.

Common shapes:

Define what's worth building before you commit. Ends in a prototype, architecture direction, and a plan with timeline and budget. Vendor-agnostic: you own everything.

[FAQ]

What does OrangeLoops do?

We're an AI-native software development and technology consulting firm. We build software products end to end, embed senior engineering teams, run product discovery, and develop AI agents and agentic infrastructure for clients across the US, Canada, and Latin America.

Can you embed engineers in my team?

Yes. We embed senior engineers, designers, and QA specialists inside your team under your direction, with an Account Manager, Delivery Manager, monthly performance scorecards, and a continuity layer above each profile.

Where are you based and what hours do you work?

We work from Boston and Montevideo, with full overlap with US Eastern hours and a bilingual English/Spanish team.

Can you build AI agents?

Yes. We develop autonomous AI agents that take action: sales qualification, customer support, internal knowledge, and operations. And the agentic infrastructure, including MCP servers, that connects them to your systems.

What is product discovery and how long does it take?

Product discovery is a structured engagement of about six weeks that defines what to build and how. It ends in user flows, a working prototype, architecture direction, a feasibility read, and a plan with timeline and budget. Vendor-agnostic: everything is yours.

How do you use AI in delivery?

Every engagement is AI-native: senior engineers orchestrate agents that handle much of the build, while engineers stay responsible for all architectural decisions. Agents compress the cost of building, not the cost of judgment.

Ready for your next build?

Let's talk