KARAuto Research

01 Why KAR AI exists

Choosing a car takes weeks.
The decision takes minutes.

Everything between those two facts is research: listings, specifications, safety results, running costs, opinions. KAR AI does that part, and hands back the decision with the reasoning attached.

Researching it yourself Weeks
  • Listings
  • Specifications
  • Reviews
  • Safety results
  • Running costs
  • Depreciation
  • Comparisons
  • Second thoughts
The same work, run once Minutes
  • One brief
  • Every check, on every candidate
  • A shortlist you can defend

The tracks are drawn to scale against each other, not against a measured figure.

02 The people

Small team. Unusually specific obsessions.

KAR AI is built by a founding team across Greece and the United States. Every one of them owns a specific part of the product or the company, outright.

  • Nikolaos Korakianitis

    Founder

    Nikolaos Korakianitis

    The obsessionBuilds the research engine: the brief, the checks and the reasoning that comes back with every pick.

    I’m 17, I’m not behind the wheel yet, and that’s exactly why I built KAR. Everyone I knew asking “which car should I buy?” was getting answers shaped by whoever wanted to sell them something. So I built the research tool I wished existed: one that reads the specs, the running costs and the real listings, then explains its reasoning in plain language.

  • Evangelia Vournazou

    Founding Member

    Evangelia Vournazou

    The obsessionPartnerships and presentation: how KAR AI is explained to everyone outside the product.

    Background

    Evangelia joins KAR AI with a background in motorsport and student engineering competition. She was a member of Athena Racing, an all-female Greek student team that competed in the F1 in Schools World Championship, serving as the team’s Sponsorship Manager, work recognised with the FIA Women in Motorsport Award.

  • Tanner Wolff

    Founding Member, US

    Tanner Wolff

    The obsessionRebuilds the research layer for the United States: listings, NHTSA and IIHS data, American ownership costs.

    Background

    An aspiring Formula 1 aerodynamicist with a background in engineering and design.

  • Smaragda Baxevani

    Founding Member, Technical

    Smaragda Baxevani

    The obsessionLeads the technical side of the platform: the architecture of our research pipeline, the systems that keep answers accurate and traceable, and the infrastructure underneath.

    Background

    A Computer Science student at Aristotle University of Thessaloniki, and founder and lead of GDG on Campus AUTH, the university’s Google Developer Group chapter.

  • Elisavet Latsiou

    Founding Member, Strategy

    Elisavet Latsiou

    The obsessionOwns strategy and business development: positioning, the monetisation model, partnerships and the numbers we hold growth to.

    Background

    Elisavet leads strategy and business development at KAR AI: positioning, audience segmentation, the business and monetisation model, partnerships and sponsorships, and the KPIs we track growth against. She is also the founder of BRAINSHOT, working on inclusive cultural and fashion projects, youth engagement, sustainability and EU programmes.

  • Dimitrios Mazarakis

    Founding Member, Growth & Distribution

    Dimitrios Mazarakis

    The obsessionLeads growth and distribution: the channels, partnerships and communities that put independent car research in front of drivers.

    Background

    Dimitrios leads growth and distribution at KAR AI: the channels, partnerships and communities that put independent car research in front of drivers. He works as a Filling Coordinator at MSC Mediterranean Shipping Company and holds a Bachelor of Business Administration.

  • Giorgos Emmanouilidis

    Founding Member, Growth

    Giorgos Emmanouilidis

    The obsessionTakes on growth: getting the service in front of more drivers, building partnerships that fit an independent product, and tracking whether it works.

    Background

    Giorgos studies Mechanical Engineering at the International Hellenic University. He competed in Stem Racing in 2024, where his team won the AI Generative Design award, and has spent the last two years as a Project Management and Enterprise coach for Greek Stem Racing teams. At KAR AI he takes on growth: getting the service in front of more drivers, building partnerships that fit an independent product, and tracking whether it works.

  • Stelios Fytros

    Founding Member, Strategy & Business Development

    Stelios Fytros

    The obsessionLeads strategy and business development: positioning and go-to-market, audience segmentation, the revenue model, commercial partnerships and sponsorships, and the KPIs we measure growth against.

    Background

    Stelios leads strategy and business development at KAR AI: positioning and go-to-market, audience segmentation, the revenue model, commercial partnerships and sponsorships, and the KPIs we measure growth against. He brings over a decade of key account management at Cosmos Business Systems, an MBA, and his own business coaching practice, Growth Zone Consulting.

  • Anestis Kalampalikis

    Founding Member, Market & Business Expansion

    Anestis Kalampalikis

    The obsessionLeads market and business expansion: identifying new markets, developing business opportunities and building the strategic relationships that take the platform beyond its initial market.

    Background

    Anestis leads market and business expansion at KAR AI: identifying new markets, developing business opportunities and building the strategic relationships that take the platform beyond its initial market. He brings experience across technology consulting, business and people-focused roles, including work at Accenture Greece, with a background that began in HR.

  • Nikos Varvadoukas

    Founding Member, Business Model & Offering

    Nikos Varvadoukas

    The obsessionLeads the business model and offering: how the product is packaged, priced and positioned for the market.

    Background

    Nikos leads the business model and offering at KAR AI: how the product is packaged, priced and positioned for the market. He is C-Level Operating Partner for Growth & Transformation at Operandi Partners, with prior leadership roles at Novibet, Public Group (combined CMO/COO) and Cosmos Sport (Chief Omnichannel Officer, through its acquisition by JD Sports), and is a founding and board member of AI Academy.

  • Iliada Evangelia Kothra

    Founding Member, Green Digital Marketing & Communications

    Iliada Evangelia Kothra

    Background

    Iliada is a Green Digital Marketer, content creator, author and communications consultant with extensive experience in strategy, branding and developing small and emerging brands. Her work focuses on creating authentic and sustainable strategies that connect entrepreneurship with communication, creativity and social impact. She founded Living Postcards (2012), a creative platform showcasing "The New Face of Greece," and created the #Dontacceptit campaign (2018) raising awareness around domestic violence, which was nominated at the Greek International Women Awards. She is a jury member for the A' Design Award & Competition in Italy, author of the books #LoveStatus and #All_is_here, and a mentor in the EQUAL Program of Piraeus Bank supporting women entrepreneurs.

  • Panagiotis Matzoros

    Founding Member, AI, Technology & Business Strategy

    Panagiotis Matzoros

    The obsessionLeads AI and technology strategy, business opportunities and fundraising support.

    Background

    Panagiotis brings over a decade of experience turning technology into measurable business value, from 5G research as a Marie Curie Fellow to enterprise consulting and customer success across cybersecurity, cloud and infrastructure. At KAR AI, he leads AI and technology strategy, business opportunities and fundraising support.

  • Lydia Divini

    Founding Member

    Lydia Divini

    Background

    An Informatics student at the Athens University of Economics and Business (AUEB). She works in Java, Python, C++ and HTML/CSS/JS, with hands-on data analysis experience, and volunteered with AIESEC in Italy on a climate action project.

  • Giannis Gkountinakis

    Founding Member, Technical

    Giannis Gkountinakis

    Background

    A software developer studying Applied Informatics at the University of Macedonia. He built full-stack features with Angular, Spring Boot and PostgreSQL over two summers at Starttech Ventures.

  • Giorgos Markantonis

    Full-Stack Developer Intern

    Giorgos Markantonis

    Background

    Writes code and tests for bugs, with a strong interest in AI. This is his first internship.

  • Qi Ziheng

    Data Science Intern

    Qi Ziheng

    Background

    IAL A2 student at Ekpedeftiki Anagennisi studying psychology, maths and physics, aiming for the BSc Data Science at the Technical University of Munich (TUM). 14th place in the 2025 national statistics competition in Greece.

  • Aggelos Papazoglou

    Freelance Writer and Social Media Specialist

    Aggelos Papazoglou

    Background

    16-year-old student with a C2 English certificate, a passion for content creation and photo and video editing, and a distinction in the European Space Agency's Climate Detectives programme. He writes for the KAR AI blog and supports our social channels with the perspective of young drivers.

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03 The problem

Nobody buying a car is short of information.

There is more data on any car than one person could read. It is spread across sources that were never designed to be read together, and none of them was written about you.

  • Marketplaces

    Listings

    Thousands of them, sorted by price, not by whether the car suits the way you drive.

  • Manufacturers

    Specifications

    Written per trim, per market and per model year, and almost never comparable side by side.

  • Press

    Reviews

    A verdict on the car. Not a verdict on the car for your budget, your roads and your family.

  • Testing bodies

    Safety results

    Published per model and per year of test: easy to read, and easy to read wrong.

  • Everywhere else

    Running costs

    Split across insurance quotes, tax tables, fuel figures and service schedules that never meet.

  • Nowhere

    Depreciation

    Usually the largest cost of owning the car, and the one no listing shows you.

  • Owners

    Forums

    Real ownership experience, buried under a decade of arguments about a different engine.

  • The showroom

    Dealers

    Knowledgeable, often genuinely helpful, and paid on what they sell.

The work nobody does for you is the last step: turning all of it into one decision.

That step is where the weeks go. It is reading eight sources at once, holding six models in your head, and weighing a safety score against a service bill against a boot measurement, with no way to check whether you weighted any of it correctly.

We are just as open about the business behind the research: here is how we make money.

04 What KAR AI does

It reads a sentence the way a good adviser would.

You do not fill in a filter form and hope. You say what you need. KAR AI takes the request apart into the constraints that actually decide the answer, then researches against all of them at once.

What you say

“I need a reliable family car under €25,000. Good safety, low running costs, room for two kids and a dog.”

What KAR AI reads

  • BudgetHard ceiling at €25,000, new or used
  • SpaceFive real seats, boot for a pushchair and a dog
  • PrioritySafety first, running costs second
  • Risk“Reliable” outranks equipment and performance
  • MarketYour country’s prices, taxes and availability

Comes back as Up to five candidates, each with the reasoning, the safety record and the running costs we can source

Illustrative briefs. Your own answers are what the research is actually run against.

05 The intelligence

No single number decides a car. Nine of them argue it out.

A filter narrows on one field at a time. Every candidate here is scored on all nine dimensions at once, and the trade-offs between them are what the recommendation explains.

Safety

Euro NCAP results are looked up per car and per year of test, alongside the assistance systems that are actually standard on the trim you would buy, not the ones available somewhere in the range.

Reported as adult, child, vulnerable road users and safety assist, so a five-star badge never hides a weak column.

Select a dimension to read what sits behind it.

06 The shift

Same decision. A different shape entirely.

Without KAR AI

Research by hand

  1. Search
  2. Open twenty tabs
  3. Read the reviews
  4. Compare the specs
  5. Check the safety results
  6. Estimate the running costs
  7. Ask around
  8. Second-guess the whole thing

…then start again with another model

Weeks later: a decision you are still not confident about.

With KAR AI

Research, run once

  1. Ask, in your own words
  2. KAR AI reads what you actually need
  3. Every candidate goes through the same checks
  4. You decide, with the reasoning in front of you

Minutes later: a shortlist you can defend, with the numbers attached.

The point is not speed for its own sake. It is that the same checks are applied to every car, in the same order, every time, which is the part a person doing this by hand, late at night, across twenty tabs, cannot promise.

07 Where this goes

An intelligence layer between people and a market that keeps getting harder to read.

Cars are not getting simpler. Powertrains multiplied, trims multiplied, and the cost of getting the choice wrong went up with them. The gap between what a buyer can reasonably research and what they need to know keeps widening.

KAR AI is being built to sit in that gap: not as another marketplace, and not as another chatbot, but as the layer that reads the market on your behalf and explains itself well enough that you can disagree with it.

  1. Today

    The decision

    One brief returns a shortlist with the reasoning, the ownership cost and the safety record already attached.

  2. Next

    The ownership

    The same intelligence applied after the purchase: what the car costs you, what it needs next, what it is still worth.

  3. Beyond

    Every market

    Started in Greece, built for Europe, and now being rebuilt around United States listings, safety data and ownership costs.

Start here

Buying a car should not get more complicated. It should get more intelligent.

Tell KAR AI what you need in a sentence. It checks current prices, the safety results and the running costs it can source for each car, then comes back with the few that fit, and why.

Free account · about two minutes of questions · no dealer contact.