Deepen Calibrate
Deepen Calibrate is a tool designed for enhancing AI model performance through iterative feedback and adjustment, helping teams optimize their AI solutions effectively.
Deepen Calibrate is a web browser-based sensor calibration tool from Deepen AI that performs intrinsic and extrinsic calibrations for multi-sensor setups, drastically reducing calibration time from hours to minutes or seconds while enabling precise localization, mapping, sensor fusion, perception, and control.[1][2][4][5] Its core value lies in simplifying complex processes typically requiring Ph.D.-level expertise, making high-accuracy results accessible to anyone via intuitive interfaces, advanced visualization with error metrics, and support for major sensors like LiDAR, cameras, radar, IMU, and vehicle integrations, including target-based and targetless options from over 20 capabilities.[1][2][3][5]
Key features include streamlined flows for multi-LiDAR calibration, checkerboard-based camera-LiDAR pairing, non-overlapping camera setups, stereo cameras, camera-radar, and rough terrain vehicle calibration, plus team management, secure data handling, and customizable bundles.[5] Designed for startups, educational institutes, small businesses, and enterprises in robotics, autonomous vehicles, agriculture, drones, and ADAS, it powers daily fleet calibrations for customers like Docet TI and Adastec, delivering 60-70% cost savings and superior safety.[1][2][3]
What sets Deepen Calibrate apart is its AI/ML-driven precision matching or exceeding traditional methods, affordable pricing at $6,000/year for three features, and scalability built on Deepen AI's six years of annotation expertise, turning elite engineering tasks into user-friendly operations.[2][3][4][5]
Sources
- [1] https://www.autonomousvehicleinternational.com/news/sensors/deepen-ai-unveils-sensor-calibration-package.html
- [2] https://www.azorobotics.com/News.aspx?newsID=13794
- [3] https://www.einpresswire.com/article/618255554/deepen-ai-launches-new-sensor-calibration-package-for-startups-and-educational-institutes
- [4] https://autoware.org/autowareio/deepen-ai/
- [5] https://www.deepen.ai/calibrate
The documents state that Processed Data (labeled/processed user data) is used in 'aggregate or other de-identified form'
The documents state that Processed Data (labeled/processed user data) is used in 'aggregate or other de-identified form'
Moderate risk. Suitable for internal data but avoid confidential information.
The documents state that Processed Data (labeled/processed user data) is used in 'aggregate or other de-identified form' to improve products, but Raw Data rights are retained by users. However, the language around feedback collection and service improvement is broad, and there is no explicit opt-out mechanism or clear distinction between free and paid tiers regarding training use.
“[Privacy] 'Processed Data' refers to Raw Data that have been subject to Products and Services for labeling...Deepen uses Processed Data solely in aggregate or other de-identified form...to improve and enhance the Products and Services.”
The EULA grants a 'non-transferable, non-exclusive, revocable, limited license' for internal use only, which is restrictive. However, the Feedback clause grants Deepen 'sole proprietary right and exclusive license to any feedback, suggestions, improvements or other information provided by Licensee,' creating ambiguity about what constitutes 'feedback' versus user content.
“[ToS] 'Deepen AI grants Licensee a non-transferable, non-exclusive, revocable, limited license to use the Software...Deepen AI shall have the sole proprietary right and exclusive license to any feedback, suggestions, improvements or other information provided by Licensee.'”
The Privacy Policy mentions third-party service providers and Google Cloud Platform for data storage, but does not provide a comprehensive list of sub-processors or detail sharing restrictions. Data may be shared in investigations or business transfers, and cookies are used with unspecified third parties for advertising and analytics.
“[Privacy] 'Any information you provide through our Products and Services may be...stored in, or processed on Google Cloud Platform...Deepen, and third parties we interact with, including our third-party service providers, use cookies...in connection with your use.'”
Upon account termination, private contact details are deleted, but 'data collected about your location, activity, and usage may be maintained and kept in an anonymized and deidentified format.' No specific retention periods are stated, and the indefinite retention of anonymized data creates ambiguity about true data lifecycle management.
“[Privacy] 'When you close your account...your data collected about your location, activity, and usage may be maintained and kept in an anonymized and deidentified format to improve the Products and Services functionality.'”
The EULA explicitly states that Licensee retains all rights in Raw Data and that the license is limited to internal use. The company owns its input data, and there is no claim by Deepen to ownership of user-generated outputs or Raw Data.
“[Privacy] 'You have and retain all rights in your Raw Data.' [ToS] 'Software is limited to use by Licensee through Permitted Users on Licensee's own Raw Data for Licensee's internal use.'”
The Privacy Policy mentions GDPR rights and references a Data Protection Officer, indicating some compliance awareness. However, no SOC 2, ISO 27001, HIPAA, or other formal certifications are explicitly stated. Security practices are mentioned (HTTPS, encryption, Google Cloud) but no formal compliance documentation or trust page is referenced.
“[Privacy] 'Deepen follows generally accepted industry standards to protect the personal information...All data is transmitted over secure communication lines using HTTPS...All information is stored using encryption.' [Privacy] 'Data Protection Officer: Anil Muthineni'”
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