QAT Global

QAT Global Custom Software Development & IT Staffing Solutions - US, Brazil & Costa Rica Nearshore. Quality. Agility. Technology. We do it right! Your success is our mission.

QAT Global is your partner in custom software development. Whether you’re modernizing existing software, developing new solutions, or augmenting your IT staff, we provide the expertise and resources to meet your goals. Headquartered in Omaha, NE, and with nearshore offices in Brazil and Costa Rica, we offer flexible engagement models to match your needs. With over 30 years of expertise in custom s

oftware development, we are your trusted partner. Passionate about delivering quality results and driven by integrity, we pride ourselves on creating tailored solutions that propel your business to the next level. At QAT Global, we don’t just develop software, we help drive your success, because Your Success is Our Mission!

It's pretty simple to get AI working in a demo. The real challenge is putting it into production, which often depends on...
06/03/2026

It's pretty simple to get AI working in a demo. The real challenge is putting it into production, which often depends on how you built it in the first place.

Our CTO, Ray Carneiro, explains that the key is using specialized agents trained on your team’s standards and workflows, instead of relying on generic models that just make their best guess.

If your team is figuring out the next steps, this is definitely worth a read.

You can find the link in the comments.

Your AI tools are doing their job. Your developers are moving faster. But why isn’t your software getting released any s...
06/02/2026

Your AI tools are doing their job. Your developers are moving faster. But why isn’t your software getting released any sooner?

Most enterprise AI programs run into this limit, and it’s not about how good your tools are. McKinsey found that 78% of organizations use generative AI in at least one area, but less than 20% saw a real boost in delivery speed.

The real issue is structural. Using AI for individual tasks doesn’t change your requirements, handoffs, or governance. Even if people work faster, the pipeline won’t speed up if the main bottlenecks are further up the process.

QAT Global Co-President Rollie Stephens explains why this happens, how AI can move from helping with tasks to managing whole workflows, and what’s needed to finally close the gap.

Read the full article: https://hubs.li/Q04jMd390

Friday is here, and so is the weekend. Wishing our team, partners, and clients a great weekend ahead. See you Monday, re...
05/29/2026

Friday is here, and so is the weekend. Wishing our team, partners, and clients a great weekend ahead. See you Monday, refreshed and ready. 🙌

✨ Employee Spotlight: Erik Miranda ✨Erik develops software solutions that help teams and clients manage their data with ...
05/28/2026

✨ Employee Spotlight: Erik Miranda ✨

Erik develops software solutions that help teams and clients manage their data with confidence. He loves working with the latest technologies, writing clean code, and building applications that make a real difference. Every day is a chance to learn something new, and he would not have it any other way.

When he steps away from the keyboard, you might find Erik on a soccer field, a tennis court, or learning to surf. He speaks three languages and is working on a fourth. He also recently crossed something big off his list: watching FC Barcelona play live at Camp Nou for the first time. He is still talking about the seafood in San Sebastián.

We are lucky to have him on the team!

05/27/2026

AI systems are not all created equal. The difference begins with their foundation.

Foundation Models are large, pre-trained AI systems that can be used for many business needs without having to start over each time. The model you choose affects how accurate, affordable, and scalable your solutions will be.

Think of models as your tools and architecture as your overall strategy.

Check out the complete QAT Global Enterprise AI Glossary to help you build AI that truly works.

👉 Bookmark the glossary: https://hubs.li/Q040KgRZ0

QAT Global was proud to be a sponsor of the Nebraska IT Symposium last week at the Harper Center at Creighton University...
05/26/2026

QAT Global was proud to be a sponsor of the Nebraska IT Symposium last week at the Harper Center at Creighton University. Our Co-President, Rollie Stephens, spoke about Diamond AI Solutions and shared real examples of AI-accelerated software delivery. We enjoyed connecting with IT executives from across the region. Thank you to the Nebraska IT Symposium team for organizing another great event.

Your developers are working faster, but delivery still takes six weeks. Why is that?Coding assistants help individual de...
05/14/2026

Your developers are working faster, but delivery still takes six weeks. Why is that?

Coding assistants help individual developers get more done, but they don’t solve the main problems. Issues like unclear requirements, lost context during handoffs, late misalignment, and repeated rework still slow everything down.

QAT Global CTO Ray Carneiro explains what really speeds up the SDLC pipeline in 2026. It begins with clear specifications, role-based agents, and human checks at every handoff.

Read the full article to learn how spec-driven, agent-based delivery can speed up enterprise software projects.
https://hubs.li/Q04gFK0G0

05/12/2026

Multi-agent AI looks impressive in theory. When you add more agents, coordinating them gets harder, and most teams only address these challenes after problems appear.

When roles are unclear, communication breaks down, and no one takes responsibility, even the most promising systems can become costly headaches.

Ray Carneiro has shared a detailed guide on what it really takes to get multi-agent AI working in production. If you are building or scaling agentic systems, it is worth checking out.

Find it at https://hubs.li/Q04b-d3w0

05/04/2026

Imagine your AI assistant confidently giving a customer the wrong information, quoting an outdated policy, or even inventing a product that isn’t real.

This is called a grounding problem, and it’s a common reason why many AI projects never make it to production.

Teams solve this with Retrieval-Augmented Generation, or RAG. This method connects an AI model to your trusted information, like documents, knowledge bases, and data, so it can find real context before answering.

When the model uses your information, its answers match what’s true for your business.

This term is part of the QAT Global Enterprise AI Glossary, your field guide to building AI that actually delivers.
👉 Bookmark the glossary: https://hubs.li/Q040KgRZ0

Three talented people just made our team stronger. Please join us in welcoming Eduardo Oliveira (Senior Programmer Analy...
05/04/2026

Three talented people just made our team stronger. Please join us in welcoming Eduardo Oliveira (Senior Programmer Analyst), Andre Martos (Senior Programmer Analyst), and Daniel Baltodano (Advanced QA Engineer) to QAT Global!

We prioritize our people so they can prioritize our clients. Eduardo, Andre, and Daniel bring the skill and dedication that keeps us delivering on our mission — your success.

Welcome to the team!

Address

222 South 15th Street
Omaha, NE
68102

Opening Hours

Monday 8am - 5pm
Tuesday 8am - 5pm
Wednesday 8am - 5pm
Thursday 8am - 5pm
Friday 8am - 5pm

Telephone

+14023919200

Website

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