We've shipped custom AI solutions for Here's how we like to run things.

Your Team

The Product Owner

Every project gets a (very) technical Product Owner (PO) who has built and delivered multiple AI projects. The PO is the person responsible for understanding your business needs and architecting solutions, and overall be your direct advocate on the project.

Aloa Product Owners

Chris Raroque

Ex-Google. AI Engineer. With over 50k YouTube subscribers, Chris combines his deep technical & AI experience with a lens of education.

Bryan Lin

Ex-CapGemini. AI Engineer. Having worked with numerous Fortune 500 companies throughout his career, Bryan brings a consultative lens to each project.

Finney Koshy

AI Engineer. Finney has worked across numerous AI projects, spanning multiple industries, bringing a breadth of knowledge to each project.

In addition to their technical expertise, our POs pick up new domains fast. We have delivered AI projects across a wide variety of industries, navigating niche technical challenges.

Our PO's Adaptive Experience

Advanced AI-powered gene therapy

Healthcare

Gene Therapy Research Platform

We delivered an advanced AI-powered gene therapy research app with OCR, RAG across thousands of PubMed papers, agentic AI, all led by a PO with no biology background. The PO was able to collaborate closely with a medical genetics PhD to translate the gene splicing techniques directly to software.

HIPAA-compliant ChatGPT

Healthcare

HIPAA-Compliant ChatGPT

We built a HIPAA compliant ChatGPT for an oncology clinic that wanted to use GPT to generate reports based off 30+ uploaded documents, but couldn't because GPT isn't HIPAA compliant. Our team was able to determine the best infrastructure to build in the proper security without sacrificing the quality of output.

AI-powered evaluation for language

Education

ESL Language Learning Platform

We couldn't use standard dictionary APIs, which required us to leverage a mixture of experts in order to satisfy requirements across languages, along with an evaluation system to benchmark performance.

Real-time conference data management

Enterprise

Adobe Conference Management System

We were tasked by Adobe to build a virtual, interactive map for their 10k+ attendee conference. We were on calls every day with Adobe, leveraging MCP servers to update hundreds of database records as speaker and booth info changed.

Want to see more in-depth projects? Visit our Case Studies

The Dev Team

Depending on project needs, we'll provide a dedicated fullstack dev or a small team. We also have designers, DevOps, and more as needed.

How We Work Together

Our Take on POCs

Every AI project starts with a proof of concept (POC), which we define as a tangible working prototype that front-loads the riskiest parts of the project first. The first step of a POC is identifying the possible failure points of an AI initiative. We then take these failure points and package them into the most cost-effective prototype, with the goal of failing as fast as possible and finding alternatives before we start the full MVP build. Our POCs are not pretty demos, they are gritty experiments that often require us to solve tough problems quickly and cheaply.

Rapid Iteration Process

Our team excels at moving fast without sacrificing quality. We integrate directly with your team's workflow, running daily syncs to ensure alignment and quick decision-making. When requirements change or new challenges emerge, we pivot immediately, whether that means switching AI providers, rebuilding architecture, or deploying updates within hours. Our agile approach and modern tooling (like MCP servers and automated deployments) enable us to ship features rapidly while maintaining the flexibility to adapt as your project evolves.

End User Collaboration

Our POs also talk directly to the actual end users of the product, whether that's teachers, HR, or admin staff. Our goal is to solve their real day-to-day problems, not just add another chore or more administrative overhead.

Why Teams Choose Aloa for AI Development

1. Technical POs with Cross-Industry Expertise

Our Product Owners aren't just project managers, they're hands-on AI engineers who have delivered projects across healthcare, education, enterprise, and more. They architect solutions, write code, and adapt quickly to new domains.

2. Rapid Iteration Without Sacrificing Quality

We move fast when it matters. Daily syncs, immediate pivots on requirements, and modern tooling mean we ship features in hours, not weeks, while maintaining the flexibility to switch AI providers or rebuild architecture as needed.

3. Direct Collaboration Where It Counts

We don't just talk to stakeholders, we work directly with the actual end users of your product. Our goal is to solve real day-to-day problems, not create more administrative overhead.

Get in Touch

Ready to build your AI product? Let's discuss your project and how we can help.