Yggdrasil Gaming’s Game in a Box (GiaB), a new proprietary technology designed to simplify and accelerate game development from design to release, has recently been certified by iTech Labs, one of the industry’s leading accredited testing laboratories, supporting certification across Europe and global regulated markets.
The development signals a meaningful shift in how suppliers can approach certification with greater speed, structure, and confidence.
iGamingExpert spoke with nAni Srinivasan, President of iTech Labs, and Joshua Strydom, Chief Compliance & Risk Officer at Yggdrasil, to explore the thinking behind Game in a Box and what it could mean for the future of game certification.
As a Chief Compliance & Risk Officer at Yggdrasil, what is Game in a Box,andhow does it change the way studios manage regulatory risk across jurisdictions?
Joshua Strydom: Game in a Box is designed to give studios a structured development framework that already takes account of many of the practical demands involved in regulated distribution.
Instead of each studio having to solve the same regulatory and operational problems from scratch, they can work within a model that is built to support licensing, certification, localisation, and integration more efficiently.
Yggdrasil publicly positions it as a framework intended to streamline delivery and cover much of the heavy lifting around market entry.
That does not remove compliance obligations, and it does not make regulations disappear. What it does is make the route to market more consistent, more scalable and less dependent on each studio reinventing the wheel.
iTech Labs recently certified Yggdrasil’s GiaB platform. What makes this product stand out from a certification perspective?
nAni Srinivasan: Yggdrasil Gaming’s Game in a Box represents a clear evolution in how games are both developed and certified.
What distinguishes GiaB is not just its modularity, but the depth of its mathematical structure. The platform is built on highly structured datasets and clearly defined mathematical configurations, where outcomes are not loosely derived but deterministically driven.
This fundamentally changes the certification starting point. Instead of interpreting behaviour externally, we engage directly with mathematical intent – making validation more precise, predictable, and efficient.
How does this technology influence mathematical evaluation?
nS: At iTech Labs, our foundation has always been advanced mathematical evaluation.
GiaB’s structured datasets allow us to move beyond traditional simulation-heavy validation into a more powerful hybrid model.
We can validate millions of deterministic data points directly, cross-verifying expected outcomes with actual behaviour at a granular level. This enables full traceability of RTP, volatility and feature contributions.
Additionally, we are not limited to observing outcomes over time – we validate the dataset that generates those outcomes.
This means we can answer not just ‘does it converge correctly?’ but ‘is every defined outcome mathematically correct?’ That distinction significantly strengthens confidence in certification.
To support this level of depth, our investments in advanced automation frameworks and analytical algorithms play a critical role. We have developed sophisticated frameworks capable of processing and analysing millions of data points efficiently.
If an issue exists, we do not simply detect it – we pinpoint the exact data point or logic path responsible. This level of precision dramatically reduces ambiguity and accelerates resolution.
Does this change the traditional trade-off between speed and thoroughness?
nS: Simulation remains important, but GiaB allows us to go deeper. Historically, speed and precision have been seen as opposing forces. But with structured platforms like GiaB and advanced lab automation, that trade-off disappears.
Speed comes from structure. Precision comes from the depth of analysis. As I often say: Precision without speed is meaningless. Speed without precision and quality is pointless. When both are engineered together, certification becomes a real collaboration, both faster and more robust.
From Yggdrasil’s perspective, are you expecting to see improvements in time-to-market or efficiency with GiaB?
JS: It should improve timelines mainly by making them more predictable. In the traditional model, delays often come from rework, late compliance input, inconsistent documentation, or repeated adaptation for different markets. A more standardised framework can reduce that friction significantly.
I would not frame it as compliance becoming ‘fast’ overnight. Regulation will still take the time it takes.
But if the underlying framework is already aligned to the needs of regulated delivery, studios should be able to move with fewer delays, fewer iterations, and greater certainty. That matters just as much as raw speed.
What will studios need to use Game in a Box?
JS: Studios need to be willing to work within a defined framework. That means aligning with the technical architecture, following agreed development standards, and accepting that some structure is necessary if you want smoother certification and broader market access.
The trade-off is straightforward: a little less freedom in how you build certain things, in exchange for a more efficient route through compliance, delivery and distribution.
From a technical standpoint, the model is designed to be practical. But from an operating standpoint, it works best for studios that value consistency and discipline.
How does this impact collaboration with providers like Yggdrasil?
nS: It transforms certification into a collaborative, iterative process. What emerges is a spiral development model: Build → Analyze → Pinpoint → Refine → Revalidate → Iterate.
In this engagement, Yggdrasil worked closely with us – almost inch by inch – to refine and align the platform with the highest standards of mathematical and compliance integrity.
This kind of collaboration enables faster fixes, more targeted iterations, and, ultimately, a stronger final product.
From Yggdrasil’s perspective, how has working more closely and iteratively with iTech Labs changed your development and certification process?
JS: Working more closely and iteratively with iTech Labs has shifted certification from a final checkpoint into part of the development process.
We chose iTech Labs for three reasons: their expertise in testing game math, their speed, and their professional approach.
That shows up quickly in how we work. We involve them earlier, test in smaller increments, and align continuously. Issues are identified sooner, requirements are clearer, and there’s less rework late in the cycle.
The result is a simpler process: faster certification, more predictable timelines, and stronger confidence in the final product.
What’s next for Game in a Box, and how do you see it shaping the future of game certification for studios?
JS: For smaller studios, the main challenge is not usually ambition. It is capacity. They often do not have large internal compliance, certification or market-entry teams, so the real value is in reducing complexity and giving them a clearer path to market.
Our focus with Game in a Box is on building frameworks and support layers that make regulatory delivery more manageable.
That includes defined requirements, repeatable compliance components, better visibility on jurisdictional differences, and support around certification and deployment.
The goal is simple: reduce friction, reduce avoidable rework, and help studios focus more of their time on building strong content.
nS: GiaB demonstrates what is possible when development is driven by structured mathematics, and certification is built on deep, data-driven validation.
It enables a model where certification is not a bottleneck, but an integrated and scalable part of the lifecycle. The result is a process that is faster, deeper, and fundamentally more reliable.
