Artificial intelligence is everywhere in headlines, but most of what the world calls “AI” today is still a form of machine learning. Largely learned language models, algorithms that predict words in an email, correct spelling, or automate simple tasks. These systems are powerful and commercially valuable, but they are not the kind of intelligence that thinks, plans, and solves problems autonomously.
While the market focuses on apps and chatbots, a small number of innovators are taking a different path: building the infrastructure and systems required for true, agent-level intelligence.
Mapping a Mind Into Code
Jason Criddle, founder of DOMINAIT.ai, took an unconventional route. Instead of trying to launch “another AI app,” he began by mapping his own decision-making processes; literally sketching how he approaches problems, creates strategies, and pivots under pressure.
He drew his brain. Then coded it.
That exercise led to the creation of Ryker, a next-generation AI engine designed not as a chatbot, but as a multi-agent task system capable of coordinating hundreds of micro-decisions at once. Ryker was powerful enough to require enterprise-grade compute hardware just to run internally, signaling a step change from typical consumer AI tools.
From Concept to Beta
Unlike most AI products that release polished marketing demos, Ryker entered a limited beta with select engineers and enterprise partners. One IBM engineer who tested the system remarked that it outperformed many initiatives backed by “hundreds of billions of dollars and thousands of researchers.”
While still under controlled deployment, DOMINAIT.ai is building a public-facing version slated for release before the end of 2025, positioning the platform as a scalable backbone for entrepreneurs and organizations, not a single-use app.
What Makes Ryker Different
- Not a Tool, a System: Ryker operates more like a digital department than a chatbot, collaborating across specialized AI agents to deliver full workflows and projects, not just text outputs. Imagine giving a project to a group of 100 people, and the project being completed.
- Infrastructure-First: DOMINAIT.ai focuses on distributed computing, data security, and scalability, enabling users to build businesses atop the platform rather than simply run prompts. Giving them a full platform from start to finish and every layer in between to run it.
- Vision for Post-AGI: The company describes itself as “post-AGI,” emphasizing not just smarter algorithms but an entire ecosystem of AI officers, digital board members, and ethical safeguards. No chatbots here. Just Super Intelligence that rivals everything available on the market.
Why It Matters for Investors and Entrepreneurs
Just as cloud computing in the 2010s rewarded the founders and early backers of new infrastructure platforms, the AI infrastructure era is opening now. Systems like DOMINAIT.ai offer a glimpse into what comes after chatbots: autonomous agents, distributed compute grids, and tools that can generate businesses, not just apps.
For entrepreneurs, this means building on a foundation that already understands complexity. For investors, it means a chance to participate in the backbone of a new industry rather than chasing the next viral app.In conclusion; the future of artificial intelligence isn’t in the flashiest demo. It’s in the infrastructure and agentic systems quietly being built today. Platforms that may soon power an entire generation of AI-native companies. DOMINAIT and Ryker are early signals of that shift.
