What Deepen AI does

Deepen AI is a safety-first data lifecycle platform for Physical AI, founded in 2017 and headquartered in Santa Clara, California, with additional operations in Hyderabad, Munich, Hong Kong, and Tokyo. The company builds AI-powered tools and services covering multi-sensor annotation, targetless multi-sensor calibration, automated data validation, and a Vision-Language-Action (VLA) framework for robotics and autonomous vehicles. Its core products are organized as a four-pillar platform: Annotate for 2D/3D image, video, and LiDAR point-cloud labeling; Calibrate for intrinsic and extrinsic calibration across LiDAR, camera, radar, IMU, and vehicle sensors; Validate for QA and dataset sign-off; and a VLA module that connects perception with action planning for embodied AI. Deepen also co-founded Safety Pool, a shared scenario-database initiative with the World Economic Forum and McKinsey & Company holding over 300,000 test scenarios, and operates Deepen Exchange, a data marketplace for curated real, synthetic, and shared datasets.

The company monetizes through a hybrid SaaS plus professional-services model: annual subscription licenses for its annotation, calibration, and validation platforms, alongside a large in-house global workforce that delivers managed data annotation, calibration, custom engineering, and synthetic data generation for enterprise clients. Pricing is quote-based for enterprise tiers, with discounted startup and researcher packages for the lower end. Customers include automotive primes and Tier-1 suppliers (Samsung, Ford, Bosch, Denso, AVL, LeddarTech, Aeva, Nokia), autonomous vehicle developers (Nuro, Gatik, Torc/Daimler, Uber ATG, TIER IV, May Mobility, Helm AI, Five AI, Preferred Networks), and adjacent sectors (Airbus, ST Engineering, Vicomtech, Autonomous Stuff). Deepen holds ISO 27001, ISO 9001, GDPR, SOC, TISAX, and HIPAA certifications, and is a member of ASAM contributing to OpenX standards (OpenLABEL, openODD, openXOntology, OpenSCENARIO 2.0).

Go-to-market combines enterprise field sales targeting AV manufacturers, robotics firms, and industrial customers globally with self-serve web tools aimed at startups and researchers, and a strategic GCC expansion channel enabled by its March 2026 seed funding from Majlis Advisory.

Name

Deepen AI

Legal name

Deepen AI, Inc.

Website

https://deepen.ai

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

101–250 employees

Short description

Deepen AI is a safety-first data lifecycle platform for Physical AI, offering multi-sensor annotation, targetless calibration, and data validation tools along with managed annotation services for autonomous vehicle, robotics, humanoid, and industrial customers.

Ownership category

akta.pro rank

Product category

AI Data Platform for Autonomous Systems

NAICS

Custom Computer Programming Services (541511), Computer Systems Design and Related Services (5415)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371), Services-Prepackaged Software (7372), Services-Computer Processing & Data Preparation (7374)

akta.pro primary industry

Annotation Tooling & Workflow Management (HDAAALAC)

akta.pro secondary industries

Domain-Specific Training Data Solutions (e.g., medical, AV, geospatial) (HDAAALAL), 3D Vision, Depth Sensing & Point Cloud Analytics (HDAAAEAK), AI/ML Engineering & Model Development Services (BPAEAHAF)

Keywords

• Multi-sensor data annotation
• Sensor calibration platform
• Autonomous vehicle data tools
• AI data lifecycle platform
• Robotics perception data

Headquarters

HQ city

Santa Clara

HQ country

United States

HQ region

North America

Offices5 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Operations, Technology or R&D, Infrastructure, Marketing or Sales

Revenue model

1. SaaS Platform Subscriptions: Annual or multi-year subscription licenses for the annotation, calibration, and validation platforms. Tiered plans for enterprise, startups, and researchers. Includes software access, support, and updates.
2. Professional Data Services: Managed annotation, calibration, data collection, synthetic data generation, and validation services delivered by a large in-house global workforce. Customers engage Deepen's workforce for data operations at scale.
3. Custom Engineering & Integration: Bespoke tool customization, workflow automation, AI model development, and embedded team engagements for complex enterprise deployments.

Pricing tiers

Go-to-market motion2 records

Distribution channels4 records

Marketing channels7 records

Core offering

Deepen AI provides a safety-first data lifecycle platform for Physical AI, combining multi-sensor annotation (2D/3D bounding boxes, semantic/instance segmentation, point cloud labeling for images, video, and LiDAR), multi-sensor calibration (targetless calibration across LiDAR, camera, radar, IMU, and vehicle sensors), and data validation tooling. The platform also includes a Vision-Language-Action (VLA) framework that connects multi-sensor perception with action planning for robotics and autonomous systems. Professional services (managed annotation workforce, calibration services, synthetic data generation, and custom engineering) are delivered alongside the software subscriptions.

Product overview

Deepen AI is a safety-first data lifecycle platform for Physical AI, operating as a unified platform-plus-modules architecture. The core products include Annotate (AI-powered 2D/3D annotation for images, video, and LiDAR), Calibrate (multi-sensor calibration supporting LiDAR, camera, radar, IMU, and vehicle sensors with targetless capability), Validate (quality assurance and dataset verification), and Vision-Language-Action (VLA) framework connecting multi-sensor perception with action planning for robotics and autonomous vehicles. Supporting services include Data Annotation, Sensor Calibration, Synthetic Data Generation, Data Validation, Custom Engineering, and Data Collection services. The ecosystem includes Safety Pool (shared driving scenarios and safety data initiative with over 300,000 test scenarios) and Deepen Exchange (data marketplace). The platform serves autonomous vehicles, robotics, humanoids, and industrial/off-highway applications across mobility, logistics, manufacturing, and mining sectors.

Differentiator

Problem solved

Functional benefit

Brands

• Safety Pool: Global initiative sponsored by World Economic Forum, McKinsey & Company, and Deepen AI to aid evolution and deployment of safe autonomous driving systems through smart sharing of safety-related data and standards. The world's largest scenario database for automated driving systems.
• Deepen Calibrate
• Deepen Annotate
• Deepen Validate
• Deepen Exchange

Products and services

• Annotate AI-powered 2D and 3D annotation platform for creating and managing labels on images, video, and LiDAR point clouds, with multi-sensor fusion labeling, real-time productivity analytics, configurable data export, built-in QA workflows, and flexible on-prem or cloud delivery for autonomous vehicle and robotics perception teams.
• Calibrate Multi-sensor calibration platform for autonomous systems supporting LiDAR, camera, radar, IMU, and vehicle sensors, with targetless calibration that calculates intrinsic and extrinsic calibration parameters in seconds and visualizes multi-sensor data integrity for inspection.
• Validate Data validation and quality assurance platform for reviewing, verifying, and signing off on dataset quality, with an Auto Quality Checker that identifies common labelling issues, collaborative comments and tagging per annotation, built-in issue tracking and notifications, and continuous annotator performance monitoring.
• Vision-Language-Action (VLA) Framework connecting multi-sensor data with action planning for robotics and embodied AI systems, enabling autonomous systems to perceive, reason, and take reliable actions in real-world environments by translating perception into predictable physical behavior.
• Data Annotation Services Expert-led data annotation services delivered by Deepen AI's in-house global workforce, covering 2D and 3D labeling for images, video, and LiDAR with ADAS, robotics, and multi-sensor fusion expertise, available alongside platform licensing for enterprise deployments.
• Sensor Calibration Services Professional calibration services for LiDAR, camera, radar, IMU, and vehicle sensors with visualization dashboards for inspecting calibration quality, reducing calibration time from hours to minutes for enterprise customers.
• Synthetic Data & Scenario Generation Services Service that generates rare and edge-case safety scenarios with variation for different environments and behaviors, integrating with Safety Pool and third-party datasets for comprehensive scenario coverage in autonomous systems development.
• Data Validation Services Service that combines automated QA checks with human-in-the-loop review, error analysis, and iterative improvement processes to deliver production-ready, model-safe datasets for autonomous vehicle and robotics customers.
• Custom Engineering & Integration Services Bespoke engineering solutions including tool customization, workflow automation, AI models, edge optimization, and bespoke data pipelines, with embedded teams to support complex enterprise deployments.
• Data Collection Services Service for multimodal fleet data ingestion from vehicles, robots, and drones, with coverage across on-road, off-road, warehouse, industrial, and humanoid scenarios, including automated tagging and scene classification.
• Safety Pool Global initiative co-founded by Deepen AI and sponsored by the World Economic Forum and McKinsey & Company to accelerate safe autonomous driving deployment through smart sharing of safety-related data and standards; the world's largest scenario database for automated driving systems, with 100,000+ self-driving test scenarios ready for download.
• Deepen Exchange Data marketplace providing curated real, synthetic, and shared datasets via Safety Pool and partners; datasets are organized in collections and provided in machine-readable formats with labels in Deepen annotation JSON format.
• Startup & Researcher Calibration Package Special discounted sensor calibration package for startups and educational institutes, covering 3 calibration pairs (e.g., LiDAR-Vehicle, LiDAR-Camera, Camera Intrinsic) out of 20+ available calibration types.

Quantifiable outcome

• Calibration time reduced from hours to seconds/minutes using Deepen Calibrate
• +4 more outcomes

Named customers20 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature7 records

Partnerships

Six partnerships are on record, tiered core and flagship.

• VicomtechcoreTechnology or Integration · 18 June 2026Deepen AI and Vicomtech collaborated on a multi-sensor data validation and annotation initiative to address data integrity challenges in LiDAR and camera datasets for perception-based AI systems. The teams worked together to resolve calibration, localization, synchronization, and sensor alignment issues before annotation to prevent errors from propagating into downstream AI models. A joint case study was published highlighting how this structured approach reduces downstream rework and accelerates development cycles.
• DeonticcoreTechnology or Integration · 12 May 2026Deepen AI and Deontic partnered to fast-track AV-ADAS data to validation flywheel, announced May 2026. The partnership aims to streamline the transition of annotated data into validation workflows for autonomous driving and ADAS development.
• TIER IVcoreStrategic or Co-development Partner · 25 November 2025TIER IV expanded its use of Deepen AI's sensor fusion annotation tools to support multiple autonomous driving projects including robotaxi perception systems, over more than four years of collaboration. Deepen AI's tools are integral to TIER IV's ecosystem approach for developing perception models across autonomous vehicle programs.
• Cron AIcoreStrategic or Co-development Partner · 23 May 2023Deepen AI and Cron AI agreed on a five-year long-term strategic partnership to advance sensor data processing and annotation for 3D perception systems.
• Safety Pool (World Economic Forum, McKinsey & Company, Denso, Elektrobit, LeddarTech, AVL, others)flagshipStrategic or Co-development PartnerSafety Pool is a global initiative sponsored by the World Economic Forum, McKinsey & Company, and Deepen AI to accelerate safe autonomous driving deployment through smart sharing of safety-related data and standards. Deepen AI is a co-founder and primary contributor. The initiative has 100,000+ scenarios and brings together industry leaders including Denso, Elektrobit, LeddarTech, and AVL.
• ASAM (Association for Standardization of Automation and Measuring Systems)coreStrategic or Co-development PartnerDeepen AI is a proud member of ASAM and leader in OpenX standardization activities including OpenLABEL, openODD, openXOntology, and OpenSCENARIO 2.0, contributing to industry-wide data format and scenario standards for autonomous systems.

Scale indicators4 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Scale AI: Scale AI is the largest commercial AI data labeling platform, offering 2D/3D annotation, LiDAR labeling, and evaluation services across autonomy, robotics, and government. It directly competes with Deepen AI for AV/robotics multi-sensor annotation contracts, including enterprise OEMs and Tier-1s that both vendors serve.
• Labelbox: Labelbox provides an AI data platform combining annotation tooling, model evaluation, and data curation for computer-vision workloads, including AV and robotics. Like Deepen AI, it sells to enterprise ML teams and competes head-to-head for platform-level multi-sensor labeling deals.
• Appen: Appen is a global data annotation services and platform provider with a large in-house workforce and enterprise ML tooling — including LiDAR/3D capabilities. It overlaps with Deepen AI's hybrid platform-plus-managed-services model and competes for AV, robotics, and broader ML data contracts.
• Sama (Samasource): Sama delivers AI data annotation services (2D/3D, LiDAR, image, video) with a focus on enterprise-grade quality and security certifications similar to Deepen AI. Both target AV/ADAS/robotics customers with managed-workforce offerings alongside proprietary tooling.
• CloudFactory: CloudFactory provides managed AI training data services with a distributed workforce, specializing in computer vision and document annotation. It competes with Deepen AI's professional services arm for AV, geospatial, and ML data labeling workloads.
• Playment (acquired by Telus International): Playment focused on image, video, and LiDAR annotation for AV and ML teams with a hybrid tool-plus-workforce model. Now part of TELUS International, it remains a direct competitor to Deepen AI in the multi-sensor annotation space.
• BasicAI: BasicAI offers a multi-sensor annotation platform (2D/3D, LiDAR, point cloud) with managed workforce options for AV and robotics customers. Its product scope — sensor fusion labeling, point cloud segmentation, QA workflows — overlaps closely with Deepen Annotate.
• Understand AI: Understand AI (acquired by Bosch) provides data annotation, sensor calibration, and scenario generation services specifically for autonomous driving, making it one of the closest direct competitors to Deepen AI's AV-focused annotation and calibration offering.
• Mindy Support: Mindy Support is a global data annotation and data operations services provider covering image, video, LiDAR, and 3D point cloud labeling. It directly competes with Deepen AI's managed-workforce offering for AV and robotics data labeling projects.

Emerging players

• V7 Labs: V7 Labs builds an annotation and dataset management platform for computer vision (image, video, DICOM), with growing LiDAR capabilities. It overlaps with Deepen AI on enterprise CV annotation workflows and competes for AV and medical imaging customers.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/deepenai
• Facebookfacebook.com/deepenai
• LinkedInlinkedin.com/company/deepen-ai

Compliance6 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Subsidiaries1 record

Funding overview

Funding rounds3 records

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Deepen AI