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ASPL Digital Physical AI · LLM · Automotive · Biometric

Collecting the Data That Trains Physical AI, Language Models, Automotive Systems & Biometric Identity Verification

ASPL Digital designs, instruments, and runs data collection programs for physical AI, robotics, LLM training, automotive perception, and biometric/identity-verification systems — combining in-lab, sensor-instrumented capture with distributed collection matched through ASPL Connect, our platform connecting vetted annotation professionals and specialized data partners with the right project opportunities. Every project is quality-checked in process and managed end-to-end on the client's behalf.

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Overview

How We Collect

Collection runs through two modes, applied based on what a project requires. In-Lab Collection is used wherever the task requires dedicated capture hardware, sensor rigs, or controlled/instrumented environments. Distributed Collection via ASPL Connect is used for tasks that don't require specialized equipment — it matches each project with the right mix of independent annotation professionals, specialized service providers, and established annotation partners from our vetted ecosystem, based on the expertise the task needs. Both modes run through the same governance: quality-control checkpoints applied throughout collection — not only at final delivery — and full project management on ASPL's side, so clients own the outcome rather than the workforce.

Industries Served

  • Physical AI & Robotics
  • LLM Training & Fine-Tuning
  • Automotive — In-Lab & On-Road
  • Biometric & Identity Verification

What We Collect Data For

Four data collection programs, one governed pipeline — quality control and project management applied consistently whether capture happens in-lab or through ASPL Connect.

Physical AI

Physical AI & Robotics Data Collection

ASPL collects data for teams building robotic and physical AI systems — spanning manipulation, navigation, and human-robot interaction data across the environments physical AI is being deployed into. Applicable across industries, including industrial and manufacturing automation, warehouse and logistics robotics, agriculture and field robotics, healthcare and assistive robotics, defense/surveillance/aerial robotics, and retail and facility robotics.

Applicable Industries

  • Industrial & Manufacturing Automation — task and motion data for robotic arms, pick-and-place systems, and defect-inspection robots on production lines
  • Warehouse & Logistics Robotics — navigation, obstacle-avoidance, and pick/pack task data for AMRs in dynamic warehouse environments
  • Agriculture & Field Robotics — outdoor navigation and task-execution data for autonomous field equipment across variable terrain, lighting, and weather
  • Healthcare & Assistive Robotics — consent-managed capture of human-robot interaction and assistive-task data for care, mobility-support, and clinical-assist applications
  • Defense, Surveillance & Aerial Robotics — mobility and sensor-log data collection for ground and aerial (UAV) robotic platforms in unstructured environments
  • Retail & Facility Robotics — navigation and inspection-task data for robots operating in retail floors, warehouses, and commercial facilities

How It's Collected

  • In-lab capture wherever the task calls for specific capture hardware, wearable/egocentric recording devices, or controlled conditions
  • Distributed capture via ASPL Connect for tasks that don't require dedicated equipment — matched with the right annotation professionals and specialized partners from our vetted ecosystem
  • Quality control applied throughout collection, in-lab or distributed, to keep output consistent regardless of source or vertical
  • Project management owned by ASPL — coordination, tracking, and delivery handled on the customer's behalf
Physical AI & Robotics Data Collection
LLM Training

Data Collection for LLM Training & Fine-Tuning

ASPL runs data collection programs to support training and fine-tuning of large language models.

  • Collection scoped to the specific training or fine-tuning objective defined by the client
  • Delivered through the same governed pipeline — in-lab or matched through ASPL Connect's ecosystem of annotation professionals and specialized partners, depending on the task — with quality control applied before delivery
  • Managed as a full project on the client's behalf, from collection through delivery
Data Collection for LLM Training & Fine-Tuning
Automotive

Automotive Data Collection — In-Lab & On-Road

Automotive data collection runs across both in-lab and on-road capture, backed by ASPL's own data acquisition (DAQ) engineering. Delivery is structured, timestamped data handed off through standard cloud data management protocols, ready for annotation or model training.

In-Lab Capture

  • Design and development of custom DAQ systems, including Linux-based software development
  • Multi-sensor synchronization — camera, LiDAR, and radar streams aligned with vehicle CAN and Ethernet data
  • Precise time synchronization and timestamping across all captured sensor streams
  • Edge compute platforms for onboard capture, with high-capacity SSD storage sized to project needs
  • Mounting fixtures and mechanical integration to fit capture systems to test vehicles
  • Bench testing ahead of on-vehicle deployment, followed by in-vehicle integration testing

On-Road Monitoring

  • Real-world driving data collection under actual road and traffic conditions
  • Sensor fusion data capture (camera, RADAR, LiDAR) to support model development and validation for ADAS functions such as AEBS and FCW
  • Collection aligned to relevant regional regulatory and test frameworks where applicable (e.g., AIS-185/DF for testing on Indian roads)
  • In-cabin sensing programs covering video, physiological signal capture, and consent-managed occupant data, delivered in phased releases
Automotive Data Collection — In-Lab & On-Road
Biometric & Identity

Biometric Data Collection & Identity Verification

ASPL collects data to support the training and validation of biometric and identity-verification systems. This spans two categories:

Core Biometric Data Collection

  • Fingerprint data collection
  • Facial data collection
  • Iris data collection
  • Contactless palm data collection

Identity Verification Data Collection

  • Face verification/matching data collection
  • Liveness detection data collection
  • Deepfake and video-injection detection data collection
  • Identity document verification data collection
  • Age estimation data collection
  • How it's collected — In-lab capture where dedicated capture devices (scanners, sensors, controlled-lighting camera setups) are required for a given biometric modality
  • Distributed capture via ASPL Connect for tasks that don't require dedicated equipment, matched with the right annotation professionals and specialized partners for the task
  • Consent-managed capture built into the workflow throughout, given the sensitivity of biometric data
  • Quality control applied throughout collection, in-lab or distributed, before delivery
  • Project management owned by ASPL — coordination, tracking, and delivery handled on the customer's behalf
Biometric Data Collection & Identity Verification
ASPL Connect

Are You an Annotation Professional or Service Provider?

ASPL Connect is open to independent annotation professionals, specialized service providers, and established annotation companies looking to expand their reach and get matched with relevant project opportunities.

Capabilities

Quality Control Is Built into Collection, Not Bolted on After

Continuous Quality Control

Continuous Quality Control

Matching a project to the right professional through ASPL Connect does not mean handing off oversight. Every submission — in-lab or sourced through ASPL Connect — is checked for quality as part of the process, not only at handoff, and ASPL manages the project throughout.

Delivered

Automotive and occupant-facing programs run with consent management built into the workflow, and collection protocols are aligned to relevant regulatory frameworks where the project requires it.

ASPL Connect — Collaboration at Scale

ASPL Connect — Collaboration at Scale

ASPL Connect is built on a simple premise — quality at scale comes from collaboration, not headcount. It brings together independent annotation professionals, specialized service providers, and established annotation companies, matched to projects based on their expertise.

Delivered

Rather than relying on a single, generic pool of labor, every project is matched to the partner best suited to the task at hand.

Scope a Data Collection Program

Scope a Data Collection Program

If you're building a physical AI system, training or fine-tuning an LLM, need automotive data collected in-lab or on the road, or need data for biometric or identity-verification systems, talk to our team about what the project requires.

Talk to Our Data Collection Team

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