Capture
Record video, audio, inputs, events, and session context at the source.
Multimodal gameplay data infrastructure
Capture synchronized video, audio, player inputs, events, and session data from human gameplay and turn them into structured datasets for interactive AI research.
Platform / 01
Gameplay is useful as AI data when actions, observations, and events retain their temporal relationships. Gameture is building that collection path end to end.
Record video, audio, inputs, events, and session context at the source.
Map each stream to a shared session timeline across machines and players.
Check stream presence, timestamp continuity, and session-manifest completeness.
Organize raw signals into aligned multimodal sessions with consistent metadata.
Prepare validated session packages for training, evaluation, and research workflows.
Data / 02
The useful unit is an aligned session: every stream described, timed, and connected to the same sequence of human actions.
Frames describing the environment, interface, and visible state.
Game audio and other sound retained on the shared session timeline.
Keyboard, mouse, controller, and action sequences with event timing.
Decisions, reactions, timing, and interaction patterns derived from play.
Player, machine, timing, collection, and session-manifest context.
Interaction synchronized across players, capture nodes, and machines.
Why gameplay / 03
Interactive AI needs observations and actions in sequence—not only isolated outcomes.
Gameplay provides temporally aligned perception, action, and decision data inside environments with explicit rules, goals, and feedback.
Players continuously interpret changing environments, interfaces, and objectives.
Actions are selected under uncertainty, time pressure, and incomplete information.
Behavior changes in response to opponents, feedback, mistakes, and new constraints.
Multiplayer sessions contain communication, cooperation, competition, and multi-agent behavior.
Research uses / 04
Structured sessions can support research where timing, behavior, and interaction matter to the model or evaluation.
Technology / 05
A gameplay dataset is only as useful as its timeline. The architecture coordinates capture nodes, session state, validation, and storage around that shared reference.
Session coordination
Node state, stream registry, and session manifest.
Validation
Completeness · continuity · manifest checks
Structured session
Aligned streams · events · metadata
Dataset storage
Research-ready session packages
Coordinate video, audio, inputs, events, and metadata across capture nodes.
Preserve the timing relationships between human actions and observed game state.
Manage a collection session across players, machines, and recording devices.
Move large session artifacts through integrity-aware transfer workflows.
Check expected streams, continuity, metadata, and manifest completeness.
Describe sessions using consistent player, machine, timing, and collection context.
Record ordered player actions close to their source for accurate sequencing.
Organize aligned session packages for downstream research access and processing.
Data pipeline / 06
Gameture's visual language follows the work itself: capture, align, validate, structure, and deliver.
Record human play as concurrent, time-addressable streams.
Map events and media to a common session clock across capture nodes.
Check stream presence, continuity, metadata, and manifest completeness.
Organize aligned signals and context into a consistent multimodal record.
Prepare session packages for model training, evaluation, and research analysis.
About / 07
Currently in development
Gameture is an early-stage company developing infrastructure for collecting, synchronizing, validating, and structuring multimodal gameplay data.
Our focus is high-quality human interaction datasets for work in multimodal learning, behavioral modeling, interactive agents, and related AI systems.
Leadership / 08
Founder & Chairman
Technical focus
CEO
Diego manages company operations to ensure the infrastructure reliably captures and delivers multi-modal, synchronized gameplay data to AI researchers and gaming studios.
Technical focus
CTO
Nicholas leads the technical architecture and development of the systems used to capture, synchronize, validate, and structure multimodal gameplay data.
Technical focus
FAQ / 09
A quick overview of how Gameture works with gameplay data, research teams, and new collaborations.
Contact / 10
Gameture is interested in hearing from researchers, engineers, and teams working on interactive intelligence.
Share a short note about your research area, data needs, or potential collaboration. Your message will go directly to the Gameture team.
contact@gameture.ca