AI-native product development

Build the right thing.
Ship it faster with AI.

We help teams clarify scope and scale delivery — through an agent-native workflow where AI handles execution and engineering judgment stays in the loop.

Client perspective

“What impressed me most was their professionalism, their drive to improve quality, and a sense of ownership I rarely see in contractors.”

Roger Lopez

Program Manager

See the case study

Our approach

AI-native product engineering starts before the build.

We get involved early to pressure-test assumptions, clarify scope, and decide what’s worth building before time and budget get locked in.

We apply AI across the full workflow — how we scope, build, test, and ship. Not as an experiment. As the way we work.

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Is this the right problem to solve?

The most expensive mistake is building the wrong thing well. We challenge the brief before we commit to it.

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Where does AI belong in this?

Not everywhere. We apply it where it accelerates, skip it where it adds risk not worth taking.

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How do we move faster without losing control?

AI handles iteration and overhead. Engineering judgment stays in the loop throughout.

Agentic Programming

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Ship faster without cutting corners.

Our engineers orchestrate AI agents that write, review, and iterate code across the full stack. Multiple agents in parallel, directed by engineers who own the architecture and review every output. Whether you need a product built from scratch, an existing system improved, or senior engineers embedded in your team — same rigor, dramatically faster.

iOS · Android · Web · Backend · Architecture · UX/UI · QA

Standalone Agents

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Deploy agents that take action.

AI agents that operate autonomously inside your business. Sales qualification, customer support, internal knowledge, operations. These agents run on your data, connect to your tools, and handle real workflows end to end. Not chatbots that answer questions. Agents with guardrails that get work done.

Conversational agents · RAG systems · WhatsApp · Web · Workflow automation · Multi-system integrations

Agentic Infrastructure

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Connect your systems to AI.

AI agents are only as useful as the systems they can reach. We build the integration layer that gives agents structured, deterministic access to your SaaS tools, ERPs, and internal platforms — documented APIs or not. Connectors, authentication, data pipelines, and protocol adapters that turn your existing stack into something agents can actually use.

MCP servers · API connectors · OAuth integration · Data layer design · CLI tooling

Explore all capabilities in detail

Define & Scope

The upfront work of clarifying what's worth doing and where the boundaries are, for a product, an agent's workflow, or an integration's reach. Agents compress research and constraint mapping. Judgment decides what gets locked.

Agents compress the cost of building. Not the cost of judgment.

Generating code got cheap. That makes mistakes in specs, architecture, and validation more expensive because they propagate faster now. The point isn't to use the most AI. It's to know where it helps and where to hold the line.

What agents unlock

Greenfield speed, parallel execution across modules, compression of repetitive work, and faster prototyping. Dramatic gains, when the spec is right.

What doesn't change

Getting the specification right. Keeping systems coherent as they grow. Judgment on complex scenarios. Specs are the new source code.

Client

GRUBHUB

5.0

Roger Lopez Program Manager, Grubhub

The Challenge

Grubhub's Enterprise division builds branded mobile and web apps for restaurant clients across iOS, Android, and React.js. The challenge: shipping and maintaining that volume at scale, faster than their internal team could absorb alone.

Our Approach

A cross-functional team across iOS, Android, and web — embedded inside Grubhub's own infrastructure: GitHub, Jira, Slack, weekly syncs. Same rhythm as an internal team, from day one.

The Outcome

What started as a high-velocity delivery sprint became a multi-year embedded partnership. The Program Management lead noted: "They have a sense of ownership that I have not typically experienced with other contractors."

Client

5.0

Rafael Atijas Founder & CEO, Loog Guitars

The Challenge

The idea was an AR "magic mirror" with no clear precedent — a live camera experience that detects the guitar's fingerboard and overlays chord fingering guides in real time, accurate enough to actually teach finger placement.

Our Approach

Using computer vision to detect the fretboard and overlay interactive dots showing correct finger positions for each chord. The initial accuracy target was one frame per second — the team identified an opportunity to go further and pushed without a change order.

The Outcome

The feature shipped on iOS with materially better accuracy than originally scoped and received very positive user reviews from Loog's audience.

Client

5.0

Martin Gorlero CEO, Canada Go Green

The Challenge

CanadaGoGreen's 4SEASONS Vents needed a mobile app to connect via Bluetooth to their custom sensor module and surface real-time environmental data on-site. Without it, the device had no usable interface and no path to market.

Our Approach

Built the iOS and Android app from scratch around the 4SEASONS sensor accessory, integrating live temperature, humidity, and fan control via BLE with no Wi-Fi dependency required.

The Outcome

Installers and homeowners now have full control from the app: live readings, automated fan modes, and remote firmware updates with no physical access to the device needed.

Client perspectives

In their own words.

Engineering perspectives on AI.

Our engineers write about the decisions behind AI-native delivery: evaluating LLMs, building agents, and making AI useful inside real products. It's the kind of thinking we bring into engagements, not content for content's sake.

Agentic AI

Ready to talk about your next build?

Book a free 30-minute call with one of our specialists.

Boston
50 Milk St, 16th floor

Montevideo
Dr. José Scosería 2815

Contact
+1 (617) 655-8264
contact@orangeloops.com

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MaIA

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Build the right thing.
Ship it faster with AI.

Trusted by product companies since 2015.