Automotive AI
Professional fleet and road data
REAL-WORLD DATA. BUILT TO SPEC.
Human CogniTech organizes and executes buyer-specified real-world data collection across Georgia and the Caucasus for automotive AI, Physical AI, robotics and multimodal systems.
Professional fleet and road data
In-cabin and driver behavior
Real-world human activity
Video, audio, location and sensors
From vehicles and human activity to physical environments and sensor streams, Human CogniTech builds project-specific collection programs around the data your models need.
Real-world driving, vehicle, road and in-cabin data collected through professional fleets and project-specific driving programs.
Human movement, behavior, interaction and task data captured in real-world contexts for perception and multimodal AI systems.
Structured capture of real-world environments and activities across logistics, industry, agriculture, retail, construction and other physical settings.
Buyer-defined combinations of video, audio, location, motion, telemetry, sensors and contextual metadata synchronized around the required collection scenario.
Every project begins with the buyer's specification. Human CogniTech builds the people, hardware, field operations and quality workflow required to turn that specification into structured real-world data.
We align on modality, geography, participants, hardware, scenarios, volume and acceptance criteria.
We align on modality, geography, participants, hardware, scenarios, volume and acceptance criteria.
We identify and organize the people, fleets or field participants required for the collection program.
Capture devices, instructions and operational workflows are configured around the project requirements.
Data is collected under defined scenarios with session tracking and project-specific metadata.
Deliverables are checked against buyer-defined acceptance criteria, with recollection where required.
Approved data and metadata are prepared and delivered in the required project format.
Human CogniTech provides a local operational layer for project-specific data collection across Georgia and, project by project, the wider Caucasus.
Dense cities, mixed mobility, retail and public environments.
Local execution for global AI teams.
Real-world AI data is useful only when its origin, permissions, quality and delivery requirements are handled deliberately.
Project-specific consent and participation records.
Collection workflows structured around defined usage and licensing requirements.
Privacy handling and de-identification can be incorporated where required.
Session-level metadata and provenance maintained according to project design.
Acceptance criteria established before operational scale-up.
Project data prepared and delivered through controlled workflows.
HUMAN COGNITECH
Human CogniTech is a Georgia-based real-world AI data collection company built to connect global AI teams with local people, professional fleets and physical environments.
We focus on project-specific field execution — from participant sourcing and capture operations to QA, privacy workflows and structured delivery.
We are starting in Georgia and building toward broader Caucasus coverage.
Share your target data, environment, participant profile, geography and approximate scope. We'll evaluate how the collection program can be executed locally.
partnerships@humancognitech.com