Multimodal gameplay data infrastructure

Gameplay data for intelligent systems.

Capture synchronized video, audio, player inputs, events, and session data from human gameplay and turn them into structured datasets for interactive AI research.

Temporal alignmentSession manifestsIntegrity validation
Gameplay capture system Live / synchronized

Platform / 01

From gameplay session to research dataset

Gameplay is useful as AI data when actions, observations, and events retain their temporal relationships. Gameture is building that collection path end to end.

01

Capture

Record video, audio, inputs, events, and session context at the source.

02

Synchronize

Map each stream to a shared session timeline across machines and players.

03

Validate

Check stream presence, timestamp continuity, and session-manifest completeness.

04

Structure

Organize raw signals into aligned multimodal sessions with consistent metadata.

05

Deliver

Prepare validated session packages for training, evaluation, and research workflows.

Data / 02

A session is more than its video

The useful unit is an aligned session: every stream described, timed, and connected to the same sequence of human actions.

VID

Gameplay video

Frames describing the environment, interface, and visible state.

AUD

Audio

Game audio and other sound retained on the shared session timeline.

INP

Player inputs

Keyboard, mouse, controller, and action sequences with event timing.

BHV

Behavioral signals

Decisions, reactions, timing, and interaction patterns derived from play.

MET

Session metadata

Player, machine, timing, collection, and session-manifest context.

MUL

Multiplayer data

Interaction synchronized across players, capture nodes, and machines.

Why gameplay / 03

Human decision-making, recorded over time

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.

Interactive behavior loop
01

Perception

Players continuously interpret changing environments, interfaces, and objectives.

02

Decision-making

Actions are selected under uncertainty, time pressure, and incomplete information.

03

Adaptation

Behavior changes in response to opponents, feedback, mistakes, and new constraints.

04

Coordination

Multiplayer sessions contain communication, cooperation, competition, and multi-agent behavior.

Research uses / 04

Data for systems that observe and act

Structured sessions can support research where timing, behavior, and interaction matter to the model or evaluation.

01Interactive AI agents
02Multimodal learning
03Behavioral modeling
04Imitation learning
05Game-playing agents
06Multi-agent systems
07Human-computer interaction
08AI evaluation

Technology / 05

Synchronization is the organizing constraint

A gameplay dataset is only as useful as its timeline. The architecture coordinates capture nodes, session state, validation, and storage around that shared reference.

Distributed session architectureSESSION_ID / CAPTURE_NODE / TIMECODE
Capture node A
videoaudioinputseventstime
Capture node B
videoaudioinputseventstime
Capture node C
videoaudioinputseventstime

Session coordination

Shared session clock

Node state, stream registry, and session manifest.

Validation

Completeness · continuity · manifest checks

Structured session

Aligned streams · events · metadata

Dataset storage

Research-ready session packages

01

Synchronized capture

Coordinate video, audio, inputs, events, and metadata across capture nodes.

02

Temporal alignment

Preserve the timing relationships between human actions and observed game state.

03

Distributed sessions

Manage a collection session across players, machines, and recording devices.

04

Reliable transfer

Move large session artifacts through integrity-aware transfer workflows.

05

Session validation

Check expected streams, continuity, metadata, and manifest completeness.

06

Structured metadata

Describe sessions using consistent player, machine, timing, and collection context.

07

Input capture

Record ordered player actions close to their source for accurate sequencing.

08

Dataset storage

Organize aligned session packages for downstream research access and processing.

Data pipeline / 06

From session signals to an aligned dataset

Gameture's visual language follows the work itself: capture, align, validate, structure, and deliver.

01

Capture session signals

Record human play as concurrent, time-addressable streams.

videoaudioinputseventsmetadata
raw / indexed
02

Synchronize timelines

Map events and media to a common session clock across capture nodes.

timecodenode statesession clock
aligned
03

Validate session integrity

Check stream presence, continuity, metadata, and manifest completeness.

continuitycompletenessmanifest
verified
04

Structure the session package

Organize aligned signals and context into a consistent multimodal record.

streamseventsmetadata
dataset ready
05

Connect to AI workflows

Prepare session packages for model training, evaluation, and research analysis.

trainingevaluationresearch
downstream

About / 07

Building the data layer for interactive AI

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

Building Gameture

01

Stanislas Alexandre Yekel

Founder & Chairman

Technical focus

  • Company vision
  • Strategic direction
  • Governance
02

Diego Benjamin Placide

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

  • Operations
  • Partnerships
  • Growth
03

Nicholas Kim

CTO

Nicholas leads the technical architecture and development of the systems used to capture, synchronize, validate, and structure multimodal gameplay data.

Technical focus

  • Technical architecture
  • Multimodal synchronization
  • Distributed systems
  • Data infrastructure

FAQ / 09

Questions, answered.

A quick overview of how Gameture works with gameplay data, research teams, and new collaborations.

Contact / 10

Interested in gameplay data?

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
RESEARCH / DATA / PARTNERSHIPS