Facts

• Segment: Data Infrastructure
• Country: United States
• Founded: 2017
• Website: https://www.deepen.ai

Profile sections

• Summary
• Market context
• Facts
• Funding
• Investors
• Context / Market Position
• Events
• Team
• Supply chain relationships
• Relationships
• Customers and deployments
• Sources

Summary

Deepen AI provides data lifecycle tools and services for autonomous vehicles and robotics. Its platform supports sensor annotation, lidar labeling, calibration, validation and safety evidence, helping autonomy teams build and verify machine-learning systems.

Market context

Autonomous robots depend heavily on large, accurately labeled sensor datasets for perception and safety validation. Deepen AI operates in the infrastructure layer that enables training and validation of robotics perception systems across cameras, LiDAR, and multi-sensor environments. autonomy data infrastructure perception training pipelines robotics and AV data tooling. lidar and camera data annotation multi-sensor calibration perception dataset validation computer vision dataset management.

• Capability: lidar and camera data annotation multi-sensor calibration perception dataset validation computer vision dataset management
• Strategic position: autonomy data infrastructure perception training pipelines robotics and AV data tooling. Capabilities include lidar and camera data annotation multi-sensor calibration perception dataset validation c…

Facts

• Website: https://www.deepen.ai
• HQ: San Jose, United States
• Founded: 2017
• Segment: Data Infrastructure
• Known funding rounds: 1

Funding

• 2026-03-03 - Seed - Deepen AI announces seed round led by Majlis Advisory to scale sensor-fusion ground truth for physical AI - source: linkedin.com

Investors

• Majlis Advisory - Lead - Angel / Individual - 1 funding event - first seen 2026-03-03

Autonomy data annotation and calibration company

Deepen AI provides data annotation, LiDAR labeling, sensor calibration and safety data tools for autonomous vehicles and robotics.

• Target environment: Autonomous vehicle development, robot perception teams, LiDAR datasets, multi-sensor systems and autonomy validation workflows.
• Deployment model: Data lifecycle tools and services supplied through annotation, calibration, safety data and enterprise autonomy platforms.
• Customer context: Autonomy developers, robot builders, AV teams, sensor companies, AI labs and enterprise perception teams.
• Workflow context: LiDAR annotation, sensor fusion labeling, calibration, scenario data management, perception dataset preparation and autonomy safety validation.
• Commercial maturity: Commercial data infrastructure company serving autonomous systems customers with annotation and calibration tooling.
• Market position: Data infrastructure supplier for perception-heavy autonomy and robotics development.
• Adoption constraints: Adoption depends on data quality, labeling accuracy, sensor support, security, customer workflow integration and scale requirements.
• Adjacent context: Adjacent context includes robotics datasets, LiDAR annotation, sensor calibration, autonomous vehicle perception and safety data infrastructure.
• Source confidence: high

Events

• 2026-03-03 - Funding - Deepen AI announces seed round led by Majlis Advisory to scale sensor-fusion ground truth for physical AI - Deepen AI announced a seed round led by Majlis Advisory to expand product development an…
• 2024-03-26 - Product Launch - Deepen AI launches integrated sensor calibration and data annotation solution - Deepen AI launched an integrated package pairing its calibration workflow with annotation tooling for multi-s…
• 2024-03-26 - Deployment - Deepen AI calibration suite is deployed across May Mobility's fleet workflows - Deepen AI described May Mobility as using its calibration stack to tighten sensor-calibration speed and repeatabi…
• 2023-05-23 - Partnership - Deepen AI and Cron AI agree to a five-year strategic partnership - Deepen AI and Cron AI signed a five-year strategic partnership around annotation workflows and adaptive 3D sensor perception.

Team

• Mohammad Musa - Founder and CEO

Supply chain relationships

• technology_partner - Deepen AI has a public integration relationship with Cron AI.

Relationships

• customer - Deepen AI has a public supply relationship with May Mobility.

Customers and deployments

• Calibration Time Reduction - roughly 80% calibration-time reduction - 2024-03-26 - May Mobility - AV sensor calibration workflow - Deepen AI described May Mobility using its calibration suite across autonomous-vehicle f…