Marcos Moreira Alves is a technology entrepreneur and engineer whose three‑decade career bridges advanced telecommunications, cloud computing and artificial intelligence.
As Chief Scientist of Technology at Embratel—then the Brazilian subsidiary of MCI Worldcom—he introduced state‑of‑the‑art computer‑telephony systems that became the backbone of nationwide customer‑service operations. Embratel is Brazil’s largest telecommunications carrier, owner of the country’s most extensive fibre‑optic backbone and a pioneer of the commercial Internet in Brazil, so Marcos’s work reached virtually every major company in the national market.
Today he is CEO and co‑founder of Hal‑AI, a next‑generation agentic platform built on his patented “Autonomous Agent Memory Framework Inspired by Human Cognition” (USPTO, 2025). Hal‑AI delivers human‑level autonomous agents capable of handling complex, context‑rich tasks and direct client communication. The start‑up is part of NVIDIA’s Inception programme for AI innovators and is a Meta Business Partner.
Earlier, Marcos founded and scaled ventures such as Comten Cloud Technologies and Callix, securing multimillion‑dollar investments and providing highly available voice infrastructures for organisations across Latin America.
Throughout his career he has paired rigorous engineering with a clear sense of practical value, turning emerging technologies into dependable services that advance business performance.
Company: Hal-AI Artificial Intelligence
We are thrilled to have you join us today, welcome to ValiantCEO Magazine’s exclusive interview! Let’s start off with a little introduction. Tell our readers a bit about yourself and your company.
Marcos Moreira Alves: My journey in technology dates back to the early days of personal computing. From a young age, I was passionate about programming and owned a TK-2000—Brazil’s version of the Apple II—where I learned to code in Assembly and BASIC.
I earned my degree in Electrical Engineering from the Federal University of Juiz de Fora, one of Brazil’s most respected engineering institutions. There, I also taught programming and conducted research in advanced power conversion systems. Shortly after graduating, I founded an engineering company focused on industrial automation and robotics, serving major clients such as Siemens, Metal Leve, Honeywell, and Allen Bradley.
As Brazil’s telecom market opened to foreign investment, MCI WorldCom acquired Embratel—the country’s largest telecommunications provider, with the most extensive fiber-optic network and a pioneer in commercial internet. I was invited to serve as Chief Scientist in telecommunications and computing technologies. My primary mission was to help establish a new affiliate, BrasilCenter, to serve Embratel’s more than 200 million users through advanced computer-telephony integration (CTI) systems.
To fulfill this goal, I traveled to the U.S. to research emerging technologies, including platforms from Avaya and NEC. I brought back innovations in customer support systems, telecom management, and predictive dialing. Over the next year, I worked closely with Avaya to adapt their systems to Brazil’s public telecom network. The resulting solution handled over 1 billion telecom minutes monthly and became the standard for over 90% of Brazil’s major contact centers, including Telefónica, Telemar (Oi), Santander, and Mastercard. This technology led to the launch of my startup Callix, which later secured over $6 million in venture capital.
When AWS launched in Brazil in 2011, I founded another startup to deliver cloud-based telecom services, ultimately supporting thousands of clients and millions of minutes per month. As those clients began demanding omni-channel solutions, I launched Hal-AI in 2022.
Hal-AI rapidly became a Meta Business Partner and began supporting clients with Meta’s cutting-edge cloud messaging services—ensuring reliability, security, and scalability. As AI advanced, we began focused research into agentic systems. In 2024, Hal-AI was accepted into NVIDIA’s Inception program, and in 2025 I filed a U.S. patent for our breakthrough “Autonomous Agent Memory Framework Inspired by Human Cognition.”
Today, as CEO and founder of Hal-AI, I remain deeply inspired by what’s ahead. Navigating the edge of what’s possible has always been both my mission and passion. Every day I work to keep pushing that boundary forward.
As Arthur C. Clarke once said: “Any sufficiently advanced technology is indistinguishable from magic.” Let’s make magic happen.
What emerging technology trends do you believe will have the most profound impact in the next 5-10 years?
Marcos Moreira Alves: In the next 5–10 years, we’ll see a massive shift in how people work—especially those who currently perform their jobs in front of a computer. Contrary to what many say, I don’t believe AI will replace the most creative professionals. There’s a key characteristic of AI systems that the general public—and even most of the tech industry—doesn’t fully recognize: AI is a multiplier. Let me explain.
Back in the mid-2000s, when I worked with corporate systems at Embratel, field technicians had a tough task: whenever software updates were released, they had to apply them to more than 6,000 PCs spread across five regions in Brazil, each over 1,000 kilometers apart. A tool emerged to solve this: Tivoli.
What did Tivoli do? It gave technicians a screen showing all 6,000 computers, grouped by site, department, etc. The technician could install the update on one local machine monitored by Tivoli, then drag and drop the update “package” onto the screen icon—updating thousands simultaneously. Perfect, right? Well, if something went wrong, thousands of machines would go down at once.
So, what does this have to do with AI? Everything. I’ve noticed that, like Tivoli in the 2000s, AI acts as a multiplier. It quickly and efficiently replicates the capabilities of the original human operator. So, if your team is subpar or has internal problems, those issues will be amplified exponentially. On the other hand, if your team is strong, it will become extraordinary.
With that said, here’s the trend I see coming:
Year 1: 2025–2026
Talented creative professionals will see their work amplified 1,000-fold. By working alongside AI, one person will be capable of running entire departments. But it doesn’t stop there—systems we now call agentic will interact naturally with humans, learn, and become increasingly capable.
Year 2: 2026–2027
Agentic systems will begin to step out of the virtual world and into the physical world via actuators and sensors—certainly connected to robots. These robots may or may not be humanoid. While humanoid robots are impressive, task-specific physical models integrated with agentic systems will likely become more common. A good example: Amazon’s autonomous storage and delivery systems.
Year 3: 2027–2028
Did you read the “AI 2027” report by former OpenAI engineer Daniel Kokotajlo? In that report—discussed in this podcast: https://www.youtube.com/watch?v=htOvH12T7mU&t=459s—he warns about the emergence of AGI and later Superintelligence in 2027. In this context, professionals advancing within agentic verticals will be best positioned to make use of this Superintelligence. Contrary to the fear surrounding it, we must remember: creative, high-performing humans will always have something unique to contribute. Those working directly within agentic systems will use AGI as a powerful extension of their own abilities.
Year 4: 2028–2029
With Superintelligence arrived, the focus will shift to “AI-driven biotechnology.” Consider Google’s AlphaFold. Systems designed to create proteins and therapies that preserve youth or prevent age-related diseases will likely dominate the market. These systems will harness the immense power of advanced AI. This year, AI will also begin solving major energy challenges (e.g., nuclear fusion), including the growing energy consumption of ever-larger data centers.
Year 5: 2029–2030 (?)
Note that this “Year 5” only begins after AGI/Superintelligence becomes a reality. That could be delayed by 1, 2, or even 3 years. But we’re getting very close. After this stage, the technologies likely to take center stage include:Large-scale food production and acceleration: hybridization techniques, soil nitrogen fixation, etc.
Psychological and physical well-being: much is being said about a global minimum income. In a world of abundance created by AI, those not directly involved in production won’t suffer. Companies focused on ensuring a minimum economic standard and mental well-being will be critical. And here’s the thing: these companies will still depend on humans—because only a human truly knows what it means to be human and understands the psychological layers involved.
Year 6 – 2030 and beyond:
Organizations using AGI to develop space exploration technologies will become increasingly prominent. This includes biological life-support systems, construction and social infrastructure in off-Earth environments, and more.
But keep in mind—this bright future depends on a few key factors: Will AGI and Superintelligence actually arrive? I’d say there’s a 70–80% chance by 2027.
And what about quantum computing? If we achieve a stable, viable quantum computer, everything could accelerate dramatically.
For anyone who thinks this sounds like science fiction, read “A Human View of Disruption” by Sparkline Capital (February 26, 2021). In 1900, human knowledge doubled every 100 years. By 1982, it doubled annually. Today, estimates suggest it doubles every 12 hours. With quantum computing, that could soon become every minute.
So now what? As a professional, where should you invest your time and effort?
Invest in vertical AI—a sophisticated term for “AI applied to specific domains.” Here are a few emerging verticals:
Agentics for HR: recruiting, interviews, performance evaluations
Agentics for Retail: customer service, purchasing, delivery
Agentics for Logistics: freight optimization, trucker support, operations
Agentics for Finance: client support, credit analysis, financial assistants (we already have one of these at Hal-AI)
And the list goes on… What’s your field? Start now—after all, I assume you’ll want to be “on the machines’ side” once the revolution really kicks in, right?
Can you share a specific technological breakthrough from your company that has the potential to reshape your industry?
Marcos Moreira Alves: A potential breakthrough for my company happened almost by accident—or perhaps not. Having always worked in fields where technology is applied to communication, a natural request from our clients was for OmniChannel communication. Alongside that came the demand for AI.
We’ve always maintained an advanced research line to deliver products that surpass market standards, rather than simply reselling technology—so we’ve consistently worked with proprietary solutions. As a result, our research division reached the state of the art in the field of agents, which we call “Human Grade Agentics.” With advanced technology, our AI systems surpassed the session memory barrier by maintaining a context diagram that behaves like human memory.
This allows interactions to flow more naturally and, more importantly, each person served by our clients has a unique, personalized system that has learned from hundreds of interactions and can understand their individual needs with precision.
Because of this, we have applications in airline customer service, human resources, and communication with audiences less familiar with technology, such as truck drivers. Each interaction is seamless and deeply tuned to the user’s context, creating the exact combination of offers, products, and approach.
This technology is patented by Hal-AI in the United States under the title “Autonomous Agent Memory Framework Inspired by Human Cognition.”
How do you approach innovation while balancing the need for practicality and market readiness?
Marcos Moreira Alves: Our experience and client base in the telecommunications sector not only ensure a revenue stream aligned with current market demands but also enable continuous innovation—both through the financial support of customers using our technologies and as a rich testing ground for applying new solutions.
In fact, many clients who now use Hal-AI are also users of our telecommunications and call center technologies.
What challenges do you face in integrating cutting-edge technology into existing business models?
Marcos Moreira Alves: The greatest challenge in integrating cutting-edge technology with existing business models lies in people adapting to new technologies. One important point to consider—especially nowadays—is that less tech-savvy individuals are afraid of being replaced by AI, and in some cases, that fear is valid.
Add to that the fact that change naturally triggers anxiety, and we have a perfect storm. So while the technological challenges of integration are becoming easier to overcome, human resistance is growing stronger. To address this resistance, several strategies are being adopted, such as:
– Engaging the department leaders responsible for revenue, since AI boosts both productivity and earnings
– Suggesting the client create a parallel team working with AI and offering current staff the opportunity to “migrate”
– Deploying highly autonomous systems, focused on verticals and new opportunities
Like every revolution, the human barrier will eventually be overcome. Ultimately, convincing people that they should stand on the winning side—and that side will include AI—is always the most effective strategy.
How do you foster a culture of innovation within your organization to stay ahead in the tech race?
Marcos Moreira Alves: Staying true to the path I’ve always followed, I believe in the human being—and I believe that our greatest essence, what truly makes us human, is the ability to create. We are living in a unique era where each individual can create hundreds of times more than our ancestors could a century ago.
In this way, we can fully embrace our role as humans and fulfill our mission. Inspiring this mindset in each of our collaborators and client partners, in my view, is a noble way to make a difference and leave a meaningful mark during our time on Earth.
After all, we have to make it count.
