brighter AI

What brighter AI does

brighter AI provides image & video anonymization solutions based on state-of-the-art deep learning technology. Their solutions, Precision Blur, Deep Natural Anonymization (DNAT), and Full Body Blur, redact faces and license plates and help companies comply with data protection regulations such as GDPR, CCPA, APPI, and PIPL. These privacy technologies enable companies in various industries to use publicly-recorded camera data for analytics and AI, mitigating liability, reducing fines, increasing team capacity, improving time to market, and fostering innovation. Founded in 2017 as a spin-off of HELLA, brighter AI has been recognized as "Europe's Hottest AI Startup" by Nvidia in 2019 and won "The Spark - The German Digital Award" in 2020.

Products

• Precision BlurAn accurate face and license plate redaction solution that automatically detects and blurs objects of the selected type in videos or images. It includes a random function that cannot be reverse-engineered.
• Deep Natural Anonymization (DNAT)A unique privacy solution based on generative AI that creates non-reversible synthetic face overlays and replaces license plates with replicas to protect individuals from recognition while preserving data quality and accuracy for analytics and machine learning. It generates artificial image data that replaces the original data.
• Full Body BlurAn advanced privacy solution designed to anonymize entire human bodies in videos and images, effectively blurring personal identifiers such as hairstyles, clothing, and tattoos to enhance privacy compliance.
• brighter RedactThe world's most advanced automatic redaction software for images and videos, offering state-of-the-art features for face and license plate anonymization, a REST API for seamless integration, and compliance with privacy standards like GDPR, CCPA, PIPL, or APPI.

Key capabilities

• Face Anonymization
• License Plate Anonymization
• Full Body Anonymization
• Data Masking
• Cloud deployment
• Private Cloud deployment
• Redact Edge deployment
• Selective Redaction user interface
• Custom Redact Settings for detection thresholds
• Redaction Areas for PIIs removal
• API Integration (REST API)
• Compatibility with machine learning (DNAT preserves data quality)
• Intelligent video analytics (with DNAT)
• Privacy by Design (Art. 25 GDPR)
• Edge deployment for data protection
• On-prem deployment for data sovereignty

Use cases

• Comply with data protection regulations (GDPR, CCPA, APPI, PIPL)
• Use publicly-recorded camera data for analytics and AI
• Mitigate liability and risks of being fined
• Increase capacity of teams
• Improve time to market
• Push innovation
• Development of AD/ADAS functionalities (Automotive)
• AI-based medical devices training & R&D (Healthcare)
• Safety, security & better CX (Public Sector)
• Data collection & cross-border data sharing (Research)
• Monetize data
• Enable analytics & AI
• Empower data exchange & accelerate data collection
• Automatic redaction for images and videos
• Open-Source Innovation in Micromobility
• Privacy-Compliant Driver Training Using Tram Route Simulation
• Automotive Manufacturing with AI
• Video Redaction for the Public Sector (federal government, states, municipalities, cities, public corporations, universities, NGOs, private companies in CCTV, VMS, mobility, smart city)
• Lawful and compliant use of AI-based video analytics in public spaces
• Passenger analytics in trains and stations
• Development of autonomous trains
• Training of machine learning models with anonymized data

AI approach

brighter AI provides image and video anonymization solutions using state-of-the-art deep learning and generative AI. Their solutions, Precision Blur, Deep Natural Anonymization (DNAT), and Full Body Blur, redact faces and license plates, and can also generate synthetic face overlays to protect identities while preserving data quality for analytics and machine learning. They claim DNAT protects identities by generating synthetic overlays of faces and license plates, allowing the use of video and images for AI development and analytics while remaining compliant with privacy regulations.

Tech named: deep learning, generative AI, neural networks, AI-based redaction, machine learning

Industries served

• Automotive
• Healthcare
• Public Sector
• Research
• Transportation
• Logistics
• Smart Infrastructure
• Media
• Law Enforcement
• Micromobility

What it says sets it apart

• Only fully compliant anonymization software
• Scalable
• Fastest & most accurate solution available
• Future-proof and country-agnostic, guarantees compliance regardless of location
• State-of-the-art deep learning technology
• Unique privacy solution based on generative AI (DNAT)
• Preserves data quality and accuracy for analytics and machine learning after anonymization
• Award-winning technology ("Europe's Hottest AI Startup" by Nvidia, "The Spark - The German Digital Award", Deutscher Ki Preis, Tiger Awards, Most Innovative ADAS Technology, Deep Tech Award, AUREA Award, High Performer in Data De-Identification, Public Award by European Cyber Security Organization)
• Substantial expertise through projects with Deutsche Bahn
• Strong partnerships (Secunet, Axis, Bosch, Genetec, Milestone)
• Full flexibility and cost efficiency, customizable and compatible with existing camera infrastructures and VMS
• Vendor-independent and application-specific integration of smart video analytics
• Focus on data privacy and data security with edge and on-prem deployment options
• Approved by Data Protection Officers for Europe (DSGVO), USA (CCPA), China (CSL/PIS), Japan (APPI), and South Korea (PIPA)
• Anonymized over 800,000,000 images
• Innovation driver in generative AI

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.