SocraticX builds an AI-driven platform that helps companies automate complex decision-making and operational workflows using structured reasoning models. Pulse 2.0 interviewed SocraticX founder Memo Ozdogan to gain a deeper understanding of the company.
Memo Ozdogan’s Background
Could you tell me more about your background? Ozdogan said:
“I’m Memo Ozdogan, founder of SocraticX. I’m 50 years old, born and raised in Turkey. At 24 I left to spend several years in the Far East, immersing myself in Eastern philosophies of living, before settling in the United States nine years ago. Along the way I explored the Greek classics—especially Socrates—which sharpened my eye for the assumptions that quietly steer human decisions.”
“Today my wife and I host intimate, philosophically driven retreats in the mountains of San Diego, where I guide participants through real-time inquiry to surface blind spots. SocraticX extends that work: disciplined Socratic questioning paired with large-language-model analysis so leaders — and other tech professionals — spot patterns they would otherwise miss and act with clarity.”
Formation Of The Company
How did the idea for the company come together? Ozdogan shared:
“I first logged into ChatGPT the day it launched in November 2022 and felt an immediate, almost instinctive pull. For the next two years I pushed the model with relentless Socratic questioning—probing assumptions, tracing contradictions—just as Socrates sparred with his peers. Friends and colleagues kept telling me the insights I extracted were sharper and more actionable than their own, and I realised the style of dialogue was the differentiator.”
“That insight became ‘intelligence mining’: uncovering latent intelligence inside large-language models through such intelligent inquiry that ordinary prompt-and-response cannot reach. In early 2025 I formalised the practice as SocraticX so founders and teams could tap the same level of clarity on demand—and avoid costly decisions based on unseen assumptions.”
Favorite Memory
What has been your favorite memory working for the company so far? Ozdogan reflected:
“One standout moment came this spring when a client asked me to run an Intelligence Mining session on a rural parcel she planned to buy for a retreat business. Through an hour of AI-driven Socratic dialogue we surfaced several buried risks—seasonal water rights, a jurisdictional quirk in the access road, and a zoning clause that prohibited overnight lodging—details even her property adviser had missed. She was ready to commit most of her net worth; after seeing the blind spots she walked away, effectively saving herself a six-figure loss. Her relief and gratitude confirmed for me how powerful Socratic questioning plus large-language-model analysis can be when real money and hard-won dreams are on the line.”
Core Products
What are the company’s core products and features? Ozdogan explained:
“SocraticX delivers clarity through a staged set of deliverables. First comes the Initial Insight Report—a domain-by-domain viability analysis produced during the first week. Its opening section, the Executive Overview Letter, distills headline opportunities, red-flag risks, and next actions so busy leaders can grasp the gist at a glance. Clients who need deeper resolution can upgrade to a Comprehensive Intelligence-Mining Report in week two—an immersive inquiry that reframes core assumptions, maps hidden patterns, and includes an optional Zoom debrief. Every deliverable runs on the same engine—live Socratic questioning fused with AI pattern recognition—so what arrives isn’t generic advice but decision-ready insight. If readers would like to see a sample Insight Report, there’s an example on SocraticX.ai under the ‘Services’ tab.”
Challenges Faced
Have you faced any challenges in your sector of work recently? Ozdogan acknowledged:
“The biggest challenge has been client skepticism about AI ‘hallucinations.’ Early prospects worried that large language models might generate convincing but false insights. I addressed this by building a two-step verification loop into every Intelligence-Mining session: first, I interrogate the model’s output with a second round of Socratic questions; then I cross-check key assertions against client-supplied documents or public records. The extra 20 minutes almost always turns doubt into confidence and has kept our accuracy rate very high.”
Evolution Of The Company’s Technology
How has the company’s technology evolved since launching? Ozdogan noted:
“When I launched SocraticX in early 2025, I relied on a single large-language model and manual note-taking. Six months in, I moved to a multi-model stack—using one model for generative reasoning and a lighter, faster model for real-time fact-checking—which cut session latency by 35 %. I also integrated automated transcript tagging, so themes emerge instantly instead of through manual review. These upgrades don’t replace the Socratic dialogue, but they accelerate it and sharpen accuracy, letting clients see blind spots in one session instead of two.”
Significant Milestones
What have been some of the company’s most significant milestones? Ozdogan cited:
“Since formalising SocraticX in early 2025, several milestones stand out. First, I crossed 500 hours of Intelligence-Mining sessions, producing Initial Insight Reports and Executive Overview Letters as proof that the process scales and repeats. Next, one of those reports enabled an investor to renegotiate terms and avoid about $300 k in hidden costs—our first six-figure client win. I then codified the deliverables into a comprehensive report plus an executive brief, typically delivered within 72 hours of each session. Most recently, I introduced a 14-day, no-questions-asked refund guarantee to reduce friction during onboarding. Each milestone refines the core engine—live Socratic questioning fused with AI pattern recognition—and broadens the types of decisions we can illuminate.”
Customer Success Stories
Can you share any specific customer success stories? Ozdogan highlighted:
“Two recent engagements illustrate what Intelligence Mining can do.
1.) Rural-retreat purchase – A first-time land investor asked me to vet a 150-acre parcel in northern California. The session uncovered a seasonal water-rights clause and a zoning overlay that barred overnight lodging on 70 % of the acreage. Such findings help property buyers either to negotiate the price or to walk away from the purchase.
2.) SaaS product pivot – A seed-stage software team planned a major feature rebuild they believed customers wanted. Our inquiry revealed the real pain point was onboarding friction, not missing functionality. They redirected the budget, cut projected spend by $200 k, and reported a 28 % uptick in paid conversions within six weeks.Both wins came from surfacing hidden assumptions before money was committed.”
Differentiation From The Competition
What differentiates the company from its competition? Ozdogan affirmed:
“Most services sit at one of two poles: traditional consulting—rooted in conversation but light on data—or analytics platforms that drown you in dashboards yet miss the human nuance. SocraticX fuses the two in real time. During a session I run deep Socratic questioning while a large language model maps patterns instantaneously; the dialogue and the data sharpen each other on the spot. Add my 25-year philosophical practice, a 72-hour turnaround on a comprehensive Insight Report, and a 14-day satisfaction guarantee, and you get a clarity product no conventional coach, consultant, or AI tool can match.”
Future Company Goals
What are some of the company’s future goals? Ozdogan emphasized:
“Three priorities guide the next 18 months.
First, productise access: I plan to build a secure portal where clients can upload documents and trigger an asynchronous Intelligence-Mining run. The AI handles the first-pass analysis, but I personally review and refine each Insight Report before it goes out—so the human judgment behind SocraticX stays intact.
Second, multiply impact: I’m considering training and licensing additional facilitators steeped in Socratic inquiry while continuing to oversee quality control.
Third, validate at scale: I’m exploring a partnership with a university decision-science lab for a longitudinal study measuring how much Intelligence Mining reduces strategic rework and capital loss.”
Additional Thoughts
Any other topics you would like to discuss? Ozdogan concluded:
“I’d like to surface the ‘Participant Effect’ in AI—my research showing that an LLM’s reasoning quality rises in direct proportion to the depth of the human inquiry driving it. In other words, these models are amplifiers, not oracles; the sharper the Socratic questions, the sharper the machine’s logic.”
“To share this insight more widely, I’m drafting an open-access field guide that teaches teams how to structure Socratic dialogues with LLMs, complete with real-world case studies. The guide will be released under a Creative Commons licence later this year. Pulse readers interested in beta-testing the material or contributing their own use cases are welcome to get in touch.”
