Game Technologies and Techniques
Great games are built from many technical crafts working together. Software Splash engineers with the languages, systems, and techniques that make games feel good — responsive controls, solid physics, clean rendering, and reliable multiplayer.
From real-time 3D and shaders to AR and VR SDKs and on-chain mechanics, we apply the right technology for the experience — and only where it genuinely improves the game.
Core Technologies
Game Engineering
Software Splash engineers games with real-time 3D, physics, multiplayer, AR and VR, and game AI. Read our game dev insights or start a conversation.
Multiplayer Carries the Most Risk
Networking is where these projects get into trouble. Making two players see the same world at the same moment means choosing an authority model, handling latency, predicting and reconciling movement, guarding against clients that lie, and running servers that someone maintains after launch. It reaches into every gameplay system, which is why adding it later usually means rewriting them.
Decide early whether you need it. Asynchronous competition, meaning leaderboards, ghost runs, shared daily challenges, and turn based play, delivers much of the social feeling with far less engineering surface to defend. Plenty of games that felt multiplayer never had two players connected at once.
Believable Physics and Deterministic Physics Are Different Goals
Entertainment projects want physics that feels right, and engine defaults are tuned for exactly that. Training and simulation work often needs something else: the same result every run, so an instructor can rely on a scenario behaving identically for each trainee and so scoring is defensible.
Getting determinism out of a general purpose physics engine takes deliberate work, including fixed timesteps, controlled execution ordering, and sometimes replacing parts of the solver. Networked physics is harder again, because two machines must agree on an outcome that is sensitive to very small differences. When a design calls for it, the first question is whether authority can simply sit on one machine.
Game AI Is Mostly Legible Behavior
What players call good AI is usually behavior they can read, predict enough to plan against, and still be surprised by occasionally. Behavior trees, state machines, utility scoring, and well built navigation meshes deliver that. An opponent that plays optimally is frequently less enjoyable than one that telegraphs, overcommits, and gives the player room to feel clever.
Machine learning has real uses around a game, in animation, in automated playtesting, and in content tooling. Inside a gameplay loop it is harder to justify, because a learned policy is difficult to debug and tune, and language models add latency and variability to systems that have to answer within a frame. We use them where the constraints allow and stay with authored behavior where they do not.
Rendering Choices Are Platform Choices
Real time 3D and shader work is bounded by the device at the other end. A shader that is inexpensive on a desktop GPU can dominate the frame on a mobile chip. A lighting approach that looks correct on a workstation may not fit the memory budget on a standalone headset. Every rendering decision is made against a specific device tier, which is why this page and the Platforms page are really one conversation.
The practical discipline is setting budgets for draw calls, texture memory, and frame time before the art is authored, and profiling on the real device from the first playable build onward.
Where Blockchain Fits
On-chain mechanics are part of this work when a project calls for them, and the first question is whether yours does. Ownership of an asset only matters to a player if the asset mattered to them first, and that is a game design problem no chain solves.
Web3 Game Development sets out how we approach it, including the cases where the token adds friction and takes attention away from the game. Serious games and simulation work draw on everything else described here.