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Why Pitch ICE 2026 chose Tugi Targi (AI support)

If you have ever been around an iGaming operation during a big promotion weekend, or the launch of a new brand, you already know the uncomfortable truth. Player support is not some quiet little back office function. It is where the product gets judged in real time.

· By Sonia · 11 min read

A deposit fails. A withdrawal is delayed. A bonus does not trigger. A player gets a safer gambling message and panics. A KYC check gets stuck. Someone is locked out of their account five minutes before kickoff. All of that lands in support. And the person on the other end, the player, is not grading you on intentions. They are grading you on speed, clarity, and whether you fixed it.

So when Pitch ICE 2026 at ICE Barcelona says it ran the most competitive selection process in the event’s history, with a 200% increase in applications, and then it picks Tugi Tark as one of the 12 startups that get on stage. That is not random. That is a signal.

This piece is about why that signal makes sense. Not in a hypey way. In the practical, slightly messy, real world of regulated markets, multilingual players, constant product changes, and the simple fact that support volume never politely scales in a straight line.

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A quick refresher : what Pitch ICE is really selecting for

Pitch ICE has turned into one of the places where iGaming startups get filtered in public. The format is unforgiving on purpose.

Each finalist gets three minutes to pitch, then a live Q&A with a jury made up of industry leaders, entrepreneurs, and investors. Which means two things :

  1. You have to explain your product fast.
  2. You have to survive the follow up questions when someone on the jury pokes the weakest part of your story.

And in 2026 there are only 12 slots. From hundreds of global applicants. With applications up 200% versus the previous cycle.

So being selected is not just “good PR”. It usually means the judges saw something that feels urgent for operators, not just interesting for a demo.

Tugi Tark’s angle is AI agents purpose built for iGaming player support. That last part matters more than it sounds.

The industry quietly changed its mind about support

For a long time, support was seen as necessary cost. You staffed it. You outsourced part of it. You added scripts and macros. You tried to keep CSAT stable and handle time low. And when the business wanted to grow, support was expected to “keep up”.

But the modern iGaming reality is kind of brutal.

  • More markets, more regulation, more process.
  • More payment methods, more edge cases.
  • More product complexity, more bonuses, more terms.
  • More languages, more time zones, more channels.
  • More player expectations, because every other app on their phone replies instantly.

What used to be a cost center turns into a growth constraint. Not always visibly, but you can feel it. Slower response times during peak. More escalations. Burnout. Inconsistent answers. Players leaving mid journey because the support queue is long and they just cannot be bothered.

That is why customer service is starting to be treated as a strategic differentiator. Not a slogan. A real lever.

Pitch ICE selecting Tugi Tark is basically a nod to that shift.

Why “generic AI support” is not enough in iGaming

There are plenty of AI customer service tools. Some of them are decent. Many are just a thin layer on top of a general model with a fancy dashboard.

The problem is, iGaming support is not generic.

It is high volume, yes, but it is also high stakes. And it is wrapped in compliance.

A support agent, human or AI, is constantly operating inside rules like :

  • identity and KYC requirements
  • AML considerations
  • responsible gambling frameworks
  • jurisdiction specific restrictions
  • bonus terms and wagering rules
  • payment provider constraints
  • data privacy expectations and auditing

And then there is tone. iGaming conversations are emotionally weird. A player can go from friendly to furious in one message. Sometimes the player is genuinely at risk, sometimes they are trying to exploit the system, sometimes they are just confused.

A “normal” AI support bot can answer FAQs. But when you push it into the messy zones, it either becomes overly confident, overly vague, or worse, it says something that puts an operator at risk.

Pitch ICE tends to reward startups that understand those edges. Tugi Tark’s whole positioning is that its AI agents are built for iGaming, not borrowed from ecommerce or telco and then patched.

That is one big reason it stands out.

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The selection story actually tells you what the judges valued

From the background you shared, a couple lines matter a lot :

  • Tugi Tark was selected to showcase how AI agents purpose built for iGaming can transform player support at scale.
  • The pitch is not “AI replacing humans”. It is reducing friction in growth while scaling across markets, languages, and brands without compromising service quality or regulatory compliance.
  • Human oversight still plays a critical role.

This reads like the judges are done with the “AI will replace your whole team” pitch.

In iGaming, that pitch is not only unrealistic. It can be a red flag. Operators know the edge cases are where risk lives. They want automation, sure, but they also want control, escalation, and oversight. They want something deployable, not a science project.

So, Pitch ICE choosing Tugi Tark suggests the judges believed the company is aiming at the deployable middle ground. Not hype, not fear. A system that makes the support operation stronger.

Scaling support is really scaling trust

When an operator expands to a new market, the support layer becomes part of the license story. You are not just translating your website. You are proving you can communicate clearly with players, handle disputes, respond within expected timeframes, and treat responsible gambling correctly.

Support is where trust is either built or quietly lost.

AI agents can help, but only if they are designed to :

  • stay consistent across channels and brands
  • keep answers aligned with the operator’s current terms and policies
  • handle multilingual interactions without weird tone shifts
  • recognize when something is sensitive and escalate
  • maintain auditability, because regulators and internal compliance teams care about what was said and why

When Tugi Tark talks about “transforming player support at scale”, that is the real translation. Scaling trust without hiring in a panic.

Judges at Pitch ICE are usually allergic to fluffy claims. So they likely saw a real operational gap being addressed.

Why the timing is perfect, honestly

A lot of operators are in the same spot right now.

They are not asking “should we use AI” as a philosophical question. They are asking :

  • can we reduce first response times without exploding headcount
  • can we maintain quality when volumes spike
  • can we support more languages without building a mini call center in every region
  • can we stop losing players during onboarding because KYC support is slow
  • can we improve consistency, because inconsistent answers cause disputes
  • can we keep compliance happy while still moving fast

And the reason this is urgent is because marketing got more expensive, acquisition is harder, and retention matters more. Support touches retention directly. The most expensive player to lose is the one who already deposited and then had one bad experience.

So if a startup shows up with iGaming specific AI support agents, and it is framed as “reduce friction in growth”, it lands.

That is why the selection makes sense.

Three minutes on stage is made for simple, sharp stories

Pitch ICE is a three minute pitch followed by Q&A. That format rewards clarity.

Tugi Tark has a clear, punchy core :

  • iGaming support is a scaling problem
  • generic AI tools are not built for regulated iGaming complexity
  • purpose built AI agents can handle a lot of repetitive and even moderately complex support work
  • humans stay in the loop for oversight and edge cases
  • result is faster service, better consistency, easier scaling across languages and brands

You can say that fast. You can defend it in Q&A. You can point to operator pain.

Compare that to some other startup categories in iGaming, which can be harder to explain in three minutes without sounding abstract. Tugi Tark’s category is tangible. Everyone in the room has felt the pain.

“Human oversight still plays a critical role” is not a throwaway line

This is the part that makes the pitch feel mature.

Operators do not want an AI that goes rogue. They want controllable automation.

In practice, “human oversight” usually implies things like :

  • clear escalation rules (payments, RG, KYC, chargebacks, account security)
  • review workflows for sensitive conversations
  • monitoring for hallucinations or policy drift
  • the ability to update knowledge quickly when terms change
  • audit trails of conversations and decision logic

We do not have Tugi Tark’s full technical spec here, so I am not going to invent features. But the fact that their CEO, Harpo Lilja, is explicitly stating the balance, in a selection announcement, tells you what they believe the market wants.

And the judges likely agreed.

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The competition numbers matter more than the trophy

Yes, the Pitch ICE winner gets €15,000 in AWS credits, sponsored by AWS, plus the trophy.

But the real value, as your background text points out, is visibility and engagement. Being on that stage, in that room, changes the number of serious operator conversations you can have in a month. It compresses time.

Pitch ICE finalists have historically secured partnerships and funding after the event. Which is not magic. It is just concentration of attention.

So the fact Tugi Tark is in the 12 means the organizers believe it is one of the stories worth putting in front of that attention.

Why AI support is suddenly “front of house” technology

There is another reason the selection makes sense. Support is becoming product.

Not in the sense that you sell support. But in the sense that the support experience is part of the player journey, like onboarding, payments, and promos.

A player does not separate “casino app” from “support chat”. It is one experience.

If your support agent can instantly explain a wagering requirement clearly, that reduces bonus abuse complaints and increases player satisfaction. If your support can resolve payment confusion quickly, you reduce chargeback risk. If your support can identify a responsible gambling moment and handle it correctly, you reduce regulatory exposure and do the right thing.

So when Tugi Tark positions support as a strategic differentiator, it aligns with where the industry is heading. Support is not a ticketing system anymore. It is experience design.

Pitch ICE choosing them reflects that.

What to expect at ICE Barcelona, and why it matters

All 12 finalists will pitch on Tuesday, January 20th, 2026, from 11:00 a.m. to 12:30 p.m. on the Pitch ICE stage.

Tugi Tark is scheduled at 11:19 a.m. for the three minute pitch.

They will also be in the Pitch ICE exhibition area at Stand PI03, located between Halls 4 and 5.

If you are attending ICE, the value of watching their pitch is not only the pitch. It is the Q&A. That is where you learn what the jury challenges, what assumptions get tested, and how confident the team is when the easy slides are gone.

And if you are an operator, you can usually tell within five minutes whether a support AI vendor understands your world. The words they use give it away. The edge cases they bring up. Whether they mention compliance without being prompted. Whether they talk about languages and workflows, not just “automation”.

The simplest way to say it

Pitch ICE 2026 chose Tugi Tark because the pain is real, the market is ready, and their positioning is aligned with what operators are actually willing to buy.

Not “replace your whole support team”.

More like : let AI agents handle a meaningful share of player support in a regulated environment, keep quality high, keep humans in control, and remove support as a bottleneck to growth.

When you have hundreds of startups applying and only 12 slots, that kind of grounded story travels far.

Conclusion

In conclusion, Pitch ICE 2026’s selection of Tugi Tark underscores a critical evolution in iGaming player support one that balances the undeniable benefits of AI with the indispensable role of human oversight. As the industry faces increasing demands for scalable, multilingual, and compliant support solutions, Tugi Tark’s approach resonates because it addresses real operator pain points without overpromising. By focusing on augmenting rather than replacing human teams, and emphasizing quality and trust, Tugi Tark exemplifies the future of AI-powered support in regulated gaming environments. This alignment with market needs, combined with a clear understanding of operational realities, sets a new standard for innovation at ICE Barcelona and beyond.

FAQ

Why was Tugi Tark selected for Pitch ICE 2026 ?

Because it addressed a clear operator pain point at the right time : scaling player support across markets and languages without sacrificing service quality or compliance. It also stood out in a year when applications rose by 200%.

How many startups were selected to pitch at Pitch ICE 2026 ?

Twelve startups were selected as finalists.

What is Tugi Tark presenting at ICE Barcelona ?

Tugi Tark is presenting AI agents purpose built for iGaming player support, focused on helping operators scale support operations while keeping human oversight in place.

When is Tugi Tark pitching at ICE Barcelona ?

Tuesday, January 20th, 2026. Tugi Tark is scheduled to pitch at 11:19 a.m. during the Pitch ICE session running from 11:00 a.m. to 12:30 p.m.

Where can attendees meet Tugi Tark at the event ?

At Stand PI03 in the Pitch ICE exhibition area, located between Halls 4 and 5.

What does the Pitch ICE winner receive ?

The winner receives €15,000 in AWS credits (sponsored by AWS) and the Pitch ICE 2026 Trophy, though many participants value the visibility and industry access just as much.

Is Tugi Tark positioning AI as a replacement for human support teams ?

No. The company’s stated pitch emphasizes a balance where AI agents handle support realistically at scale while human oversight remains important, particularly in regulated and sensitive scenarios.

About the author

Updated on Jan 13, 2026