AAA Game Development Services

Scale, complexity, and quality expectations are different at every level. AAA game development involves larger teams, longer production cycles, higher per-asset quality bars, and platform certification requirements that indie and casual projects rarely encounter. The pipeline infrastructure needed to keep a large production coordinated, from build systems to QA automation to asset management, is also substantially more involved. Innovecs Games is set up specifically for this level of production, not adapted from a smaller-scale operation.

Depends heavily on scope. A realistic range for a mobile puzzle game built from scratch is five to twelve months. A simple single-mechanic casual game with thirty to fifty levels can reach launch-ready state faster. A match-3 with meta progression, live ops infrastructure, and a couple hundred levels takes longer. We give timeline estimates after the discovery phase, when scope is defined, not before.

PC, PlayStation, Xbox, and Nintendo Switch, across Unreal Engine, Unity, C++, and proprietary engines. We build to platform certification standards from the start of production rather than treating certification as a final step. Cross-platform builds are handled with platform-specific optimization built into the pipeline rather than bolted on at the end.

Five main options: co-development, where our team works alongside yours on defined workstreams; dedicated team, where a stable group of our specialists works exclusively on your project; art outsourcing, for studios that need external art and animation capacity specifically; full-cycle development, where we handle production end to end; and staff augmentation, where individual specialists join your existing team. Most engagements end up as some variation or combination of these depending on what the production actually needs.

QA runs throughout production rather than at the end. We use automated testing infrastructure, regular build reviews, and performance profiling checkpoints across the development cycle. Platform certification QA starts early enough that submission isn't compressed into the final weeks. Issues get flagged when there's still time to fix them, not surfaced as launch blockers.

NDAs are signed before any project information is shared. Full IP transfers to the client on delivery, with no retained rights to reuse or repurpose assets, code, or design work produced for the project. We don't work with direct competitors during an active engagement, and we're set up to handle the legal and contractual requirements that AAA studios and publishers typically bring to the table.

We staff based on production phase. Early pre-production needs a different team composition than full-scale production or post-launch support, and we structure engagements to reflect that. Scaling up or down happens against agreed timelines rather than as a reactive scramble. Team membership stays stable within phases so you're not onboarding new people mid-milestone.

We use AI across several parts of the production pipeline. On the art side, AI-assisted asset pipelines accelerate concept iteration and texture generation at volume. In QA, AI-driven automation handles regression testing and build stability monitoring that would otherwise consume significant manual testing time. Procedural content generation covers environment population and asset variation at a scale that manual methods can't match. In all cases, human judgment drives the decisions. AI handles the volume work.

Yes, when it's used correctly. The risk with AI in AAA production isn't quality degradation, it's misapplication. AI is effective at handling repetitive, high-volume tasks where the output criteria are well defined. It's not a replacement for the craft judgment that makes AAA titles distinctive. Our approach keeps AI in the parts of the pipeline where it adds speed without compromising output, and keeps human artists and engineers in control of anything that requires creative or technical judgment. The quality bar doesn't move. The time to hit it does.