Founder, Suprmind.ai | Co-founder and CEO, Four Dots
Radomir Basta is a digital marketing operator and product builder with nearly two decades in SEO and growth. He is best known for building systems that remove guesswork from strategy and execution.
His current focus is Suprmind.ai, a multi AI decision validation platform that turns conflicting model opinions into structured output. Suprmind is built around a simple rule: disagreement is the feature. Instead of one confident answer, you get competing arguments, pressure tests, and a final synthesis you can act on.
In 2023, Radomir Basta's agency team started using AI models across every part of client work. ChatGPT for content drafts. Claude for analysis. Gemini for research. Perplexity for fact-checking. Grok for real-time data.
Within six months, a pattern became obvious. Every important question ended up in three or four browser tabs. Each model gave a confident answer. The answers often disagreed. There was no clean way to reconcile them.
For low-stakes work this was fine. Write an email. Summarize a document. Ask one AI, move on.
But agency work was not always low-stakes. Pricing strategies that shaped a client's entire quarterly revenue. Messaging for product launches that could not be undone. Targeting calls that would define a brand's public reputation. Single-model confidence on questions like those was gambling with somebody else's money.
Suprmind.ai is what came out of that frustration. Launched in 2025, it puts five frontier models in one orchestrated thread - not side-by-side, but in genuine structured conversation where each model reads what the others said before responding. A shared Context Fabric keeps all five synchronized across long sessions. A Knowledge Graph builds a passive project brain over time, retaining entities, decisions, and relationships that would otherwise vanish between sessions. The Scribe extracts action items and synthesized conclusions in real time. A Disagreement/Correction Index quantifies exactly how much the models agree or diverge on any given turn.
The principle behind the design: disagreement is the feature.
When the models agree, conviction has been earned. When they disagree, the uncertainty has been made visible before it becomes an expensive mistake.
Suprmind is not the first tool Basta has built this way. It is the seventh.
Over fifteen years running Four Dots, the digital marketing agency he co-founded in 2013, he has hit the same wall repeatedly. A client needs something. No existing tool solves it properly. The answer is always the same: build it.
That habit produced Base.me for link building management (now maintaining an 80% link survival rate for Four Dots versus the 60% industry average). Reportz.io for real-time client reporting (tracking over a billion marketing events annually across 30+ channels). Dibz.me for prospecting. TheTrustmaker for conversion social proof. UberPress.ai for automated content. FAII.ai for AI visibility monitoring across ChatGPT, Claude, Gemini, Grok, and Perplexity.
Each platform started as an internal solution to an internal problem. Each one eventually proved useful enough that other agencies and in-house teams started paying to use it.
Suprmind follows the same logic applied to a different problem. The agency needed multi-model AI validation for high-stakes recommendations. Existing tools offered parallel comparison, not orchestrated collaboration. So he built orchestrated collaboration.
Four Dots is the infrastructure that made Suprmind possible.
Basta co-founded the agency in 2013 with three partners who still run it alongside him. Twelve years later, Four Dots operates from offices in New York, Belgrade, Novi Sad, Sydney, and Hong Kong. Thirty-plus specialists. Worked with more than 200 clients across three continents. Google Premier Partner status - the top three percent of agencies on the market.
The client list reflects the positioning. Coca-Cola, Philip Morris International, Orange Telecommunications, Beko, and Air Serbia alongside many mid-market brands. Work with enterprise accounts at that scale generates the cash flow, the problem surface, and the feedback loop a product lab needs. The agency grew on organic referrals, without outside capital, and operates strictly month-to-month. That structural exposure - prove value or lose the client in thirty days - is the pressure that surfaces the problems Suprmind was built to solve.
Suprmind was not built by a solo founder guessing at user needs. It was built by a working agency that encountered the problem daily, on accounts where the cost of being wrong was measured in six figures.
Basta started as a hands-on SEO consultant in 2010. Fifteen years later, he still reviews crawl data, audits link profiles, and weighs in on keyword decisions for enterprise Four Dots accounts.
That practitioner background shaped how Suprmind was designed. Debate mode exists because he has watched real agency strategies fall apart under first-contact pressure-testing and wanted a way to catch those failures before clients did. The Decision Validation Engine exists because executives need verdicts, not essays. Research Symphony has a four-stage pipeline - retrieval, pattern analysis, critical validation, actionable synthesis - because real research is never one pass.
Suprmind was designed by someone who needed it to actually work on actual problems. Not a demo. Not a prototype. A tool his agency uses daily on client deliverables.
The same background that informs Suprmind's design also shows up in public work. Principal SEO lecturer at Belgrade's Digital Communications Institute since 2013. Author of The Good Book of SEO in 2020. Member and contributor to the Forbes Agency Council, with pieces on client reporting quality, mobile-first advertising, and brand building. Author at BrandingMag, and regular speaker at regional and international digital marketing conferences.
None of those credentials make Suprmind work better. What they make clear is the kind of builder behind it. Someone who has spent fifteen years teaching, writing about, and publicly defending how this work actually gets done.
The bet is straightforward. The professionals who make consequential decisions are not going to keep settling for one confident answer from one AI system. They are going to want validation. They are going to want to see where the models disagree. They are going to want the disagreements surfaced as a feature, not buried as noise.
Suprmind is the infrastructure for that kind of work.
If your work involves recommendations that carry weight, the tool was built for you. If you have ever copy-pasted the same question into three AI tabs and tried to synthesize the answers manually, the tool was built for you. If you have ever trusted a single-model answer and later wished you had not, the tool was especially built for you.
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