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SPECIFICTION
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BasicAI vs Deepen AI

BasicAI

basic.ai

Deepen AI

deepen.ai

Side by side

FigureBasicAIDeepen AI
Price from$550/mo—
Free plan——
Free trial——
Open source——
WebYesYes
APIYesYes
Self-hostedYesYes
Plans published10
Spec score · Data Labeling Software8.0 (#11)7.7 (#16)
DeploymentBasicAI offers on-premise deployment options, with professional deployment and maintenance services and data kept within the customer’s systems.The listed deployment options are managed cloud, virtual private cloud, on-premises, and air-gapped environments.
HeadquartersIrvine, California, USASanta Clara, California, United States
ProductBasicAI provides a multimodal data annotation platform and managed data annotation services for AI training data.Deepen AI describes itself as data infrastructure for Physical AI, connecting calibration, capture, curation, annotation, and validation.
SupportThe company provides technical support and offers a dedicated support plan with its private-cloud deployment.The Services page describes a dedicated program manager as the point of contact for an engagement.
Who it is forThe platform is presented for machine learning engineers, AI researchers, data annotators, and project managers creating training datasets.Deepen presents its stack for Physical AI teams across automotive, robotics, energy, and industrial systems, including safety-critical autonomy programs.

Plans

BasicAI

  • Private-Cloud Deployment$6,600 a year

BasicAI pricing →

Deepen AI

No plans published.

Deepen AI pricing →

In their own words

BasicAI

BasicAI has no write-up on Specifiction yet; its figures are above.

Visit basic.ai

Deepen AI

Deepen AI provides connected data infrastructure for Physical AI, linking sensor calibration, capture, curation, annotation, and validation. Deepen Calibrate aligns camera, LiDAR, radar, and IMU sensors to a shared frame; the site reports under 0.8-pixel reprojection error and sub-1° angular error. Deepen Curate deduplicates sensor data, searches clips and frames, and surfaces rare or long-tail scenarios before labeling. Deepen Annotate handles 2D and 3D labels, including boxes, segmentation, keypoints, point clouds, and multi-frame tracking. Deepen Validate scores scenario coverage, audits and compares labels, prioritizes risky frames for review, and records signed audit trails. REST APIs and SDKs connect products to customer pipelines. Supported formats include ROS 2, MCAP, nuScenes, HDF5, Parquet, COCO, Rosbag, Zarr, KITTI, ORC, Pascal, WebDataset, and ASAM OpenLABEL. Deployment spans managed cloud, VPC, on-premises, and air-gapped environments. Pricing is on request.

Visit deepen.ai