How Bloomverse is adapting to the ever changing shifts in Web3, Gaming and AI
Introduction
In the world of Web3 startups, the only constant is change. Few founders know this better than Fernando Cortes, co-founder of Bloomverse—a company that began as a gaming innovation hub and has since evolved into something far more ambitious. Bloomverse’s journey, detailed at akasha.bloomverse.io, is a case study in how founders must constantly read the winds of technological change, pivoting not just to survive, but to lead the charge.
From Gaming Metaverse to AI Agents: Riding the Industry’s Shifting Narrative
When Bloomverse first launched nearly four years ago, the “metaverse” was the buzzword on everyone’s lips. The vision was to create a gaming platform where users could bet on matches, shop in branded in-game stores, and experience a seamless blend of e-commerce and play. But as the hype around the metaverse cooled and the market entered a bit of a bear phase, Bloomverse faced a familiar founder’s dilemma—double down, or adapt?
Adaptation won out. As Fernando put it, “I noticed that with AI, things are moving so fast that if I hired a team to build out the game now, in four months AI could probably do it better and cheaper.” This isn’t just a Bloomverse story; it’s the story of the entire industry, isn't it? The narrative has shifted from building virtual worlds to building intelligent agents—AI-powered companions and tools that can remember, reason, and even form emotional connections with users.
Bloomverse’s pivot to AI wasn’t just about following a trend. It was about survival in a space where yesterday’s innovation is today’s table stakes. The company developed Akasha, an AI persona that started as a simple chatbot and has since grown into a multi-LLM “brain” capable of nuanced conversation, memory, and even emotional support. This shift mirrors a broader industry movement: as AI capabilities leap forward, founders are forced to constantly reassess where to place their bets. Should they invest in content, infrastructure, or intelligence? For Bloomverse, the answer was clear—build the brains, not just the world.
The Future of AI Companions
Looking ahead, Fernando’s vision for Akasha is nothing short of sci-fi: “In two years, I would like at least a million people around the world just using her daily for whatever.” He imagines a future where Akasha isn’t just a chatbot, but a true companion—one that remembers your conversations, helps you with everything from trading to relationship advice, and even guides you through morning breathing exercises. “What people cared about is that, wow, she’s real. She gets me. I believe in her cause. She makes me feel protected,” Fernando said.
The ambition doesn’t stop at software. Bloomverse is exploring partnerships with hardware makers, envisioning Akasha as a wearable AI that can see what you see, remind you where you left your keys, and become a seamless part of daily life. “If we can make Akasha viral and then introduce her as a wearable that’s connected to a phone and she sees everything that you’re seeing… that would be my end game.”
But as we stand on the brink of this new era, it’s worth pausing to ask: is this what humanity really needs? I couldn't help squirming a little when Fernando brought up the idea of emotionally intelligent AI companions—agents that know us, remember us, and perhaps even care for us. The idea of people finding solace in an easy-to-find place is comforting but in equal measure unsettling. We joked in the interview how there’s a strong Black Mirror quality to it. Will these agents free us to live without concealed fears, or will they isolate us from human connection?
The truth is, as is classically the case, the market will not care for these questions, and it will likely only once society has sunk its teeth into the product will strong questions be brought to the table. If people want AI companions—if they find value, comfort, or even just novelty in them—adoption will follow, regardless of philosophical qualms. As with so many technological shifts, what matters most is not whether it’s “right,” but whether it resonates with the public.
Agentic Models in Trading and Healthcare
While Akasha represents the personal, companion side of Bloomverse’s AI ambitions, the company is also deeply involved in building agentic AI for more practical, enterprise-focused applications—most notably in trading and healthcare. Fernando has strategically targeted a demographic specialisation, focusing on Small and Medium-sized Enterprises (SMEs) rather than pursuing the large-scale contracts typically sought by AI giants like OpenAI, which often engage in multi-million dollar deals with global corporations.
In trading, Bloomverse has developed an agent that doesn’t just spit out buy or sell signals, but guides users through nuanced, step-by-step decision-making. As Fernando described, “What our agent does is not only does it give you signals, but it kind of takes you through it—like, okay, we’ve got to wait for BTC to do this and then SOL to do this. When this happens, ping me.” This “human-in-the-loop” approach means the agent isn’t constantly consuming expensive data, but instead relies on the user to prompt it at key moments, making the process more efficient and, so far, impressively accurate. “We’ve won 31 out of the 35 trades posted,” Fernando noted, a statistic that’s already drawing attention from the trading community and partners like Bybit.
In healthcare, Bloomverse is building agentic services for enterprise clients, including a job application agent and a specialised agent for the health insurance industry. The vision is to create AI agents that can help users navigate complex systems, answer questions, and even automate parts of the application or claims process.
But here, the road is far from smooth. The use of agentic AI in healthcare raises significant concerns—some technical, some ethical. Data privacy is paramount: healthcare data is among the most sensitive information a person can share, and regulations like HIPAA (in the US) and GDPR (in Europe) impose strict requirements on how it’s handled. AI agents must not only protect this data from breaches, but also ensure that their recommendations are accurate, unbiased, and explainable. There’s also the risk of “automation bias,” where users might trust an AI’s advice over their own judgment or that of a human professional, even when the AI is wrong. And as with any AI system, there’s the challenge of keeping up with rapidly changing medical knowledge and guidelines.
Recent research and real-world pilots have shown that while AI can be a powerful tool in healthcare—improving efficiency, reducing errors, and expanding access—it can also introduce new risks if not carefully managed. For Bloomverse and others in this space, success will depend not just on technical innovation, but on building trust, transparency, and robust safeguards into every layer of their agentic systems.
Funding in Web3: Going Against the Grain
If the product journey has been unconventional, so too has Bloomverse’s approach to funding. In the Web3 world, it’s common for projects to chase venture capital, launch tokens with big-name influencers, or seek out grants from blockchain foundations. Bloomverse, by contrast, has been almost entirely self-funded, with Fernando reinvesting proceeds from previous ventures and carefully orchestrated token launches.
This bootstrapped approach is rare in a space known for splashy raises and rapid burn rates. Fernando’s strategy has been to keep the team lean, optimise every marketing quid, and avoid the pitfalls of “KOL” (key opinion leader) hype cycles that can leave projects overexposed and underdelivering. “We’ve had offers for grants, but the milestones and technical lifts often aren’t worth the distraction,” he explained. Instead, Bloomverse is now exploring more flexible funding options, like convertible notes, that allow both the company and investors to adapt as the market evolves.
Conclusion: Building for the Next Wave
In a space where yesterday’s playbook is already outdated, Bloomverse offers a lesson in adaptability. By staying close to the community, keeping a finger on the pulse of technology, and refusing to chase every shiny object, they’ve managed to carve out a niche—and perhaps, a future.
For founders navigating the Web3 and AI frontier, the message is clear: build for change, not just for today. And if you’re lucky, you might just catch the next wave before it breaks.
